CorText Manager around the world

@article{Qi2025,

title = {Digital Biomarkers for Parkinson Disease: Bibliometric Analysis and a Scoping Review of Deep Learning for Freezing of Gait},

author = {Wenhao Qi and Shiying Shen and Chaoqun dong and Mengjiao Zhao and Shuaiqi Zang and Xiaohong Zhu and Jiaqi Li and Bin Wang and Yankai Shi and Yongze Dong and Huajuan Shen and Junling Kang and Xiaodong Lu and Guowei Jiang and Jingsong Du and Eryi Shu and Qingbo Zhou and Jinghua Wang and Shihua Cao},

url = {https://www.jmir.org/2025/1/e71560/

https://www.jmir.org/2025/1/e71560/PDF},

doi = {10.2196/71560},

year  = {2025},

date = {2025-05-20},

journal = {Journal of Medical Internet Research},

volume = {27},

abstract = {Background: With the rapid development of digital biomarkers in Parkinson disease (PD) research, it has become increasingly important to explore the current research trends and key areas of focus.



Objective: This study aimed to comprehensively evaluate the current status, hot spots, and future trends of global PD biomarker research, and provide a systematic review of deep learning models for freezing of gait (FOG) digital biomarkers.



Methods: This study used bibliometric analysis based on the Web of Science Core Collection database to conduct a comprehensive analysis of the multidimensional landscape of Parkinson digital biomarkers. After identifying research hot spots, the study also followed the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines for a scoping review of deep learning models for FOG from 5 databases: Web of Science, PubMed, IEEE Xplore, Embase, and Google Scholar.



Results: A total of 750 studies were included in the bibliometric analysis, and 40 studies were included in the scoping review. The analysis revealed a growing number of related publications, with 3700 researchers contributing. Neurology had the highest average annual participation rate (12.46/19, 66%). The United States contributed the most research (192/1171, 16.4%), with 210 participating institutions, which was the highest among all countries. In the study of deep learning models for FOG, the average accuracy of the models was 0.92, sensitivity was 0.88, specificity was 0.90, and area under the curve was 0.91. In addition, 31 (78%) studies indicated that the best models were primarily convolutional neural networks or convolutional neural networks–based architectures.



Conclusions: Research on digital biomarkers for PD is currently at a stable stage of development, with widespread global interest from countries, institutions, and researchers. However, challenges remain, including insufficient interdisciplinary and interinstitutional collaboration, as well as a lack of corporate funding for related projects. Current research trends primarily focus on motor-related studies, particularly FOG monitoring. However, deep learning models for FOG still lack external validation and standardized performance reporting. Future research will likely progress toward deeper applications of artificial intelligence, enhanced interinstitutional collaboration, comprehensive analysis of different data types, and the exploration of digital biomarkers for a broader range of Parkinson symptoms.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Shen2025,

title = {From virtual to reality: innovative practices of digital twins in tumor therapy},

author = {Shiying Shen and Wenhao and Xin Liu and Jianwen Zeng and Sixie Li and Xiaohong Zhu and Chaoqun Dong and Bin Wang and Yankai Shi and Jiani Yao and Bingsheng Wang and Louxia Jing and Shihua Cao and Guanmian Liang},

url = {https://translational-medicine.biomedcentral.com/articles/10.1186/s12967-025-06371-z},

doi = {/10.1186/s12967-025-06371-z},

year  = {2025},

date = {2025-03-19},

urldate = {2025-03-19},

journal = {Journal of Translational Medicine},

volume = {23},

issue = {348},

abstract = {Background As global cancer incidence and mortality rise, digital twin technology in precision medicine offers new opportunities for cancer treatment.

Objective This study aims to systematically analyze the current applications, research trends, and challenges of digital twin technology in tumor therapy, while exploring future directions.

Methods Relevant literature up to 2024 was retrieved from PubMed, Web of Science, and other databases. Data visualization was performed using R and VOSviewer software. The analysis includes the research initiation and trends, funding models, global research distribution, sample size analysis, and data processing and artificial intelligence applications. Furthermore, the study investigates the specific applications and effectiveness of digital twin technology in tumor diagnosis, treatment decision-making, prognosis prediction, and personalized management.

Results Since 2020, research on digital twin technology in oncology has surged, with significant contributions from the United States, Germany, Switzerland, and China. Funding primarily comes from government agencies, particularly the National Institutes of Health in the U.S. Sample size analysis reveals that large-sample studies have greater clinical reliability, while small-sample studies emphasize technology validation. In data processing and artificial intelligence applications, the integration of medical imaging, multi-omics data, and AI algorithms is key. By combining multimodal data integration with dynamic modeling, the accuracy of digital twin models has been significantly improved.

However, the integration of different data types still faces challenges related to tool interoperability and limited standardization. Specific applications of digital twin technology have shown significant advantages in diagnosis, treatment

decision-making, prognosis prediction, and surgical planning.

Conclusion Digital twin technology holds substantial promise in tumor therapy by optimizing personalized treatment plans through integrated multimodal data and dynamic modeling. However, the study is limited by factors such as language restrictions, potential selection bias, and the relatively small number of published studies in this emerging field, which may affect the comprehensiveness and generalizability of our findings. Moreover, issues related to data heterogeneity, technical integration, and data privacy and ethics continue to impede its broader clinical application. Future research should promote international collaboration, establish unified interdisciplinary standards, and strengthen ethical regulations to accelerate the clinical translation of digital twin technology in cancer treatment.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Kumari2025,

title = {Mapping research frontiers in gender and sustainability in agricultural development: a bibliometric review},

author = {Anshu Kumari and Manish Tiwari and Rahul Mor and Sandeep Jagtap},

url = {https://link.springer.com/article/10.1007/s43621-025-00968-6},

doi = {/10.1007/s43621-025-00968-6},

year  = {2025},

date = {2025-03-16},

journal = {Discover Sustainability},

volume = {6},

issue = {174},

publisher = {Springer},

abstract = {Gender and sustainability are crucial in agriculture, which remains a significant source of global employment. However, urbanization, industrialization, and technological advancements have reshaped the sector, impacting labor dynamics and gender roles. Traditional agricultural labor faces challenges due to low wages, physically demanding tasks, and unfavorable working conditions. Addressing gender disparities and promoting inclusive work environments is essential for achieving sustainability. According to the ILO (International Labour Office) decent work encompasses productivity and equal employment opportunities for both genders. This study aims to review the literature on gender, sustainability and agricultural development using a bibliometric analysis of Scopus-indexed articles. The findings identify five main research domains: gender dynamics and roles, agriculture and climate change, sustainability and development, human and labor dynamics, and environmental and technological aspects. Additionally, four key scientific communities led the research: Gender studies, agricultural economics, environmental management, and rural sociology. Emerging research trends focus on gender roles in sustainable farming, environmental innovation, and labor governance in agriculture. Spain, the United Kingdom, United States, and Canada lead in knowledge production, contributing significantly to these research domains. This review highlights the importance of interdisciplinary approaches to address the complex issues of gender and sustainability in agriculture. It also specifies a target for expectations research, highlighting that the ILO’s definition of appropriate employment can guide efforts to improve gender equity and labor conditions, ultimately supporting sustainable development in the agricultural sector.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Oh2024,

title = {Exploring Research Trends on Antibiotic Pollution Control in Constructed Wetlands through a Bibliometric Analysis and Comprehensive Review},

author = {Yugyeong Oh and Miguel Enrico Robles and Chiny Vispo and Minsu Jeon and Leehyung Kim},

url = {https://koreascience.kr/article/JAKO202403557602401.pdf},

doi = {/10.17663/JWR.2024.26.4.511},

issn = {1229-6031},

year  = {2024},

date = {2024-11-27},

urldate = {2024-11-27},

journal = {Wetlands Research},

volume = {6},

issue = {4},

abstract = {Constructed wetlands with ecological mechanisms have been identified as highly effective water purification systems for nutrient removal. However, research on the impact of antibiotics as micropollutants in constructed wetlands remain limited. To address this gap, the current state and future trends of research on antibiotic pollution management in constructed wetlands were investigated through bibliometric analysis. Additionally, a comprehensive review was performed based on 100 recently published papers to analyze the characteristics of various antibiotic types detected in aquatic and wetland environments. It was found that earlier studies primarily focused on nutrient removal, including nitrogen, phosphorus, and ammonia, while recent attention has shifted toward antibiotics, antibiotic resistance, and microbial treatment mechanisms. Tetracyclines (23%) and sulfonamides (21%) were identified as the most commonly detected antibiotics in aquatic and wetland environments. Constructed wetlands with ecological treatment mechanisms were observed to achieve higher antibiotic removal efficiencies compared to biological treatment facilities. The detection frequency and concentrations of antibiotics were found to vary depending on their type, and inconsistencies were identified in studies on the chemical structure and characteristics of antibiotics affecting ecosystems, emphasizing the need for continued research.



요 약

생태적 기작을 가진 인공습지는 영양염류 제거를 위한 수질정화시설로 활용성이 높다. 그러나 수중환경에서 검출빈도 와 농도가 증가하는 항생제를 포함하는 미량오염물질이 인공습지에 주는 영향에 대한 연구는 미흡한 상황이다. 따라 서 본 연구에서는 계량서지학적 분석을 통해 인공습지의 항생제 오염관리에 대한 현재까지의 연구 진행상황과 향후 연구동향을 조사하였다. 수중환경에 나타난 항생제 항목을 분석하기 위하여 최근 출판된 논문 100편을 기반으로 종 합적 분석 및 검토를 수행하였다. 항생제 관리를 위한 인공습지의 연구동향 분석과 수중환경에 나타난 항생제 항목을 파악하고자 계량서지학적 분석을 통해 다양한 논문 및 보고서를 기반으로 포괄적으로 검토를 수행하였다. 계량서지학 적 분석결과 과거 인공습지의 기능은 질소, 인, 암모니아 등 영양염류 제거에 초점을 두었지만 최근들어 항생제, 항생 제 내성률, 미생물 처리기작에 대한 관심이 증가하고 있는 것으로 나타났다. 수중환경에서 주로 검출되는 항생제는 Tetracyclines계열과 Sulfonamides계열 항생제로 각각 23%와 21%를 차지하였으며, 생물학적 처리시설보다 생태학적 처리기작을 가진 인공습지가 다소 높은 항생제 처리효율을 보였다. 그러나 항생제 종류별 검출빈도와 농도가 다르며 검출항목에 따라 생태계에 주는 항생제의 화학적 구조 및 특성에 대한 연구결과가 일관되지 않기에 지속적인 연구가 필요한 것으로 평가하였다.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Qin2024,

title = {Fuzzy decision-making in tourism and hospitality: A bibliometric review},

author = {Yong Qin and Zeshui Xu and Xinxin Wang and Marinko Skare},

doi = {/10.3233/JIFS-236618},

year  = {2024},

date = {2024-02-29},

journal = {Journal of Intelligent & Fuzzy Systems},

volume = {46},

issue = {2},

pages = {4955-4980},

abstract = {Fuzzy decision-making is increasingly becoming a pivotal approach to solving complex and intricate issues in tourism and hospitality management. The primary objective of this study is to unveil the developmental status, key themes and research trends within fuzzy decision-making in tourism and hospitality management (FDMTH) using Bibliometrix, CorText Manager and VOSviewer tools. As such, we conduct a comprehensive bibliometric and content-wise analysis of selected 341 publications concerning FDMTH. For one thing, we use valuable bibliometric indicators to conduct a general feature peek and performance analysis of the audited corpus. The research findings reveal a sustained scholarly interest in FDMTH. As a critical player, Pappas, Nikolaos leads the volume of publications. The Journal of Intelligent & Fuzzy Systems stands out as the preferred outlet for FDMTH research. For another, the contingency matrix and bump graph modules are employed to detect the knowledge flow and intellectual connections in FDMTH. The results of network mapping tentatively identify geographic and thematic biases in FDMTH. More importantly, bibliographic coupling analysis reveals four specific themes, namely multi-criteria decision-making and evaluation, factors identification, fuzzy programming and forecasting, and fuzzy intelligence. Our pioneer work will contribute to the present understanding of the complexity and interdisciplinarity of FDMTH.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Bibliometric analysis and systematic review of electrochemical methods for environmental remediation},

author = {Wenbin Huang and Shibin Liu and Tao Zhang and Hao Wu and Shengyan Pu},

url = {https://www.sciencedirect.com/science/article/pii/S1001074223003522},

doi = {/10.1016/j.jes.2023.08.003},

issn = {1001-0742},

year  = {2023},

date = {2023-08-14},

journal = {Journal of Environmental Sciences},

abstract = {Electrochemical methods are increasingly favored for remediating polluted environments due to their environmental compatibility and reagent-saving features. However, a comprehensive understanding of recent progress, mechanisms, and trends in these methods is currently lacking. Web of Science (WoS) databases were utilized for searching the primary data to understand the knowledge structure and research trends of publications on electrochemical methods and to unveil certain hotspots and future trends of electrochemical methods research. The original data were sampled from 9080 publications in those databases with the search deadline of June 1st, 2022. CiteSpace and VOSviewer software facilitated data visualization and analysis of document quantities, source journals, institutions, authors, and keywords. We discussed principles, influencing factors, and progress related to seven major electrochemical methods. Notably, publications on this subject have experienced significant growth since 2007. The most frequently-investigated areas in electrochemical methods included novel materials development, heavy metal remediation, organic pollutant degradation, and removal mechanism identification. “Advanced oxidation process” and “Nanocomposite” are currently trending topics. The major remediation mechanisms are adsorption, oxidation, and reduction. The efficiency of electrochemical systems is influenced by material properties, system configuration, electron transfer efficiency, and power density. Electro-Fenton exhibits significant advantages in achieving synergistic effects of anodic oxidation and electro-adsorption among the seven techniques. Future research should prioritize the improvement of electron transfer efficiency, the optimization of electrode materials, the exploration of emerging technology coupling, and the reduction in system operation and maintenance costs.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Tian2023,

title = {Global Trends and Prospects of Nepheloid Layers: A Comprehensive Bibliometric Review},

author = {Chen Tian and Fei Liu and Zhenghui Li and Hongxian Shan and Hanlu Liu and Yongzheng Quan and Zhenhua Zhou and Zhan Tan and Yonggang Jia},

url = {https://www.mdpi.com/2073-4441/15/6/1067},

doi = {/10.3390/w15061067},

year  = {2023},

date = {2023-03-10},

journal = {Water},

volume = {15},

issue = {6},

abstract = {Nepheloid layers are widely distributed in the marine environment, and their formation and evolution pose many challenges to the current understanding of ocean dynamics and marine sedimentology. In sediment transport processes, nepheloid layers significantly contribute to the exchange of sediment between the continental shelf and the slope. In this paper, we summarize the global research trends on nepheloid layers. In total, 689 publications from 1990 to 2022 were collected from the Web of Science and analyzed using bibliographic software, including Bibliometrix, VOSviewer, CiteSpace, and CorText. Based on these publications, past and present popular research on nepheloid layers is examined and evaluated. The trends in nepheloid layer research are summarized by analyzing keywords, article references, countries, institutions, and authors. Finally, prospects and several key questions related to nepheloid layers are concluded, which can potentially guide future studies. The bibliographic analysis can provide new insights into the history of nepheloid layers. The results also provide valuable information for other researchers and programs investigating geological, geophysical, and biogeochemical processes.},

note = {This article belongs to the Special Issue Sediment Dynamics in Coastal and Marine Environment},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Tracking the featured topics of the International Science of Team Science conference series and their evolution during 2010-2019},

author = {Ruinan Li and Raf Guns and Tim C. E. Engels and Lin Zhang and Ying Huang},

url = {https://link.springer.com/article/10.1007/s11192-023-04651-3

https://www.researchgate.net/profile/Ying-Huang-137/publication/368301245_Tracking_the_featured_topics_of_the_International_Science_of_Team_Science_conference_series_and_their_evolution_during_2010-2019/links/63e1299962d2a24f920a754a/Tracking-the-featured-topics-of-the-International-Science-of-Team-Science-conference-series-and-their-evolution-during-2010-2019.pdf},

doi = {/10.1007/s11192-023-04651-3},

year  = {2023},

date = {2023-02-11},

journal = {Scientometrics},

issue = {128},

pages = {2447–2469},

abstract = {In this paper, we study how research topics and trends have evolved in the field of the science of team science (SciTS). Over the past 12 years, the International Science of Team Science conference has been making efforts to understand and enhance the processes and outcomes of collaborative team science. We argue that the sessions and papers in academic conferences are the best way to reflect the latest research trends. Based on the panel sessions and submitted papers in conference programs during 2010-2019, this study tracks the featured topics and how they have evolved in the field. We extracted terms from the titles of the sessions and papers, and visualized the research hotspots, research topics, and how they have evolved for analysis. We found that the research hotspots are constantly changing, and the research topics present evolutionary characteristics, such as continuation, split, and fusion. Additionally, we examined the models and case studies of team science, the characteristics and dynamics of teams, the interdisciplinary research dynamics in team science, team science education and training, and how team science is measured and evaluated. These results summarize the major research trends and opportunities in the SciTS field.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Reyes2023,

title = {Bibliometric Analysis and Comprehensive Review of Stormwater Treatment Wetlands: Global Research Trends and Existing Knowledge Gaps},

author = {Nash Jett Reyes and Franz Kevin F. Geronimo and Heidi B. Guerra and Lee-Hyung Kim},

url = {https://www.mdpi.com/2071-1050/15/3/2332},

doi = {10.3390/su15032332},

issn = {2071-1050},

year  = {2023},

date = {2023-01-27},

urldate = {2023-01-27},

journal = {Sustainability},

volume = {15},

number = {3},

abstract = {Stormwater treatment wetlands are widely recognized as efficient and cost-effective solutions to growing stormwater problems. This study presented a new approach to evaluating the current status and trends in stormwater treatment wetlands research. The annual scientific productivity of different states was identified using a bibliometric analysis approach. The number of publications related to stormwater treatment wetlands has exhibited an increasing trend since the earliest record of publication. USA and China were among the states that had the most number of stormwater treatment wetlands-related publications and international collaborations. In terms of the population-to-publication ratio, Australia, Canada, and South Korea were found to have a higher level of scientific productivity. Analysis of frequently used keywords and terms in scientific publications revealed that the efficiency of stormwater treatment wetlands and the processes involved in the removal of nutrients and trace elements were adequately investigated; however, inquiries on the removal of organic micropollutants and emerging pollutants, such as pharmaceuticals and personal care products, microplastics, and industrial compounds, among others, are still lacking. Through the comprehensive review of related scientific works, the design, components, and primary factors affecting the performance of stormwater treatment wetlands were also identified. Future works that address the aforementioned knowledge gaps are recommended to optimize the benefits of stormwater treatment wetlands.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Hossain2023,

title = {Global Research Trends in Sustainable Development Goals between 2000 and 2021},

author = {Saddam Hossain and M. Sadik Batcha},

url = {https://www.researchgate.net/profile/Saddam-Hossain-5/publication/369009269_Global_Research_Trends_in_Sustainable_Development_Goals_between_2000_and_2021/links/6403651a574950594563f92b/Global-Research-Trends-in-Sustainable-Development-Goals-between-2000-and-2021.pdf

https://tnsroindia.org.in/JOURNAL/issue76/ISSUE%2076%20FEBRUARY%202023%20-%20FULL%20TEXT%20PART%20%2002.pdf},

issn = {0976 – 0997},

year  = {2023},

date = {2023-01-06},

journal = {Indian Journal of Natural Sciences},

volume = {13},

issue = {76},

abstract = {This present study explored how research themes and trends have developed in the field of sustainable development goals (SDGs) research, aiming to provide a comprehensive understanding of SDGs literature based on prior literature. A scientometric analysis will help current and future researchers figure out where the gaps are and how to fill them. The current study applied a bibliometric method, to identify yearly output, country collaboration, prolific authors, and contingency matrix between the keywords and journals themes and trends in the SDGs research. Publications related to the application of bibliometrics from 2000 to 2021were harvested from the Web of Science bibliographic database. A number of 21441 academic articles were found, and all bibliographic data were analyzed by the Bibliometrix and Cortext Manager. The trend in the production of research was positive. This study offers a clear picture of the development of SDGs research as well as helpful recommendations for future SDGs research.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Kalantari2022,

title = {Global research trends in petrochemical wastewater treatment from 2000 to 2021},

author = {Mahdi Kalantari and Shabnam Sadri Moghaddam and Fereidon Vafaei},

doi = {/10.21203/rs.3.rs-1913934/v1},

year  = {2022},

date = {2022-09-02},

urldate = {2022-09-02},

journal = {Research Square},

publisher = {Springer, Environmental Science and Pollution Research},

abstract = {Petrochemical wastewater (PWW) is a huge industrial contaminant that generates a wide range of resistive and poisonous organic pollutants that harm animals and plants in natural water bodies when discharged untreated or partially treated. Therefore, it is vital to develop technologies that are simple, efficient, and profitable for the treatment of oily wastewater. Although, much study has been undertaken on the treatment of PWW, there hasn't been any recent work on bibliometrics analysis of global research trends on this issue. A bibliometric analysis will help current and future researchers figure out where the gaps are and how to fill them. The present study's focus is to examine the characteristics and trends of research on oily wastewater treatment with an emphasis on the treatment of PWW. This research was performed on five important aspects, including characterization of research publications; countries' performances and collaborations; an analysis of the best papers with the most citations; keyword analysis (including frequency distribution of the keyword analysis; the transformation of the keyword combination across time; and exploration of changes in rank over time); and journal analysis, according to the 2457 papers in the Science Citation Index Expanded using the Web of Science (WoS) database from 2000 to 2021. For further analysis, the contingency matrix, bump diagram, and inter-temporal network stream were employed.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Luo2022b,

title = {Food Supply Chain Safety Research Trends From 1997 to 2020: A Bibliometric Analysis},

author = {Jianli Luo and Shujuan Leng and Yanhu Bai},

url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8850300/},

doi = {10.3389/fpubh.2021.742980},

year  = {2022},

date = {2022-02-03},

urldate = {2022-02-03},

journal = {National Library of Medicine},

volume = {9},

number = {742980},

abstract = {Background

The COVID-19 pandemic has exposed the fragility of the global food supply chain, strengthened consumers' awareness of the traceability system throughout the supply chain, and gradually changed consumers' consumption concepts and consumption patterns. Therefore, the aim of this study was to analyse the relevant literature on food safety in the food supply chain, examine its current status, hot spots, and development trends, and provide some suggestions for academics and relevant government departments in food supply chain safety research.



Methods

We collected the literature on the food safety research of the food supply chain from the Scopus database, used BibExcel to count the subject categories, published journals, geographical distributions, research institutions, authors, and keywords in the literature, and used Pajek software to analyse the keywords in the literature, perform co-occurrence analysis, draw related knowledge maps, and perform cluster analysis on primary keywords. Finally, to study the development trend, we used CorTexT software to illustrate the theme evolution path map in this research field.



Results

The keyword visualization network revealed the following key research topics: (1) food safety at the consumer end of the food supply chain, (2) food safety management in the food supply chain, (3) risk management of food safety in the food safety chain, and (4) food safety at the production end of the food supply chain.



Conclusions

After comprehensive discussion and analysis, we concluded that food supply chain management may be a hot topic in the future, especially in traceability management combined with the blockchain. It is necessary to explore in-depth how the blockchain can affect the food supply chain to provide a theoretical basis for managing the latter.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Shen2021,

title = {Research landscape and hot topics of rooftop PV: A bibliometric and network analysis},

author = {Yuanfei Shen and Ling Ji and Yulei Xie and Guohe Huang and Xin Li and Lucheng Huang},

url = {https://www.sciencedirect.com/science/article/pii/S0378778821006174},

doi = {https://doi.org/10.1016/j.enbuild.2021.111333},

issn = {0378-7788},

year  = {2021},

date = {2021-11-15},

urldate = {2021-11-15},

journal = {Energy and Buildings},

volume = {251},

pages = {111333},

abstract = {Rooftop photovoltaic (PV) system, as part of the renewable energy development strategy to guarantee energy security and reduce greenhouse gas emissions in urban areas, has received a lot of attention during the last decade. To provide an up-to-date and systematic research landscape of the rooftop PV field, this study conducted the bibliometric analysis, collaboration network analysis, co-citation analysis, and hotspots detection based on 595 articles collected from the core collection database of Web of Science. The results showed that the number of publications per year in this field has increased steadily since 2015. The USA was the most important contributor in this research field in terms of quantity (number of publications) and impact (number of citations). The co-authorship communities were obtained by collaboration network analysis, and the international collaboration is expected to be further strengthened according to the research focuses of each community. The key knowledge base and the main hot topics of the rooftop PV research field were identified from co-citation analysis and keywords co-occurrence network. Furthermore, based on the literature review, a detailed analysis of the main topics was provided for a better understanding of the current research trends and opportunities. This study can be served as a strategic review of the rooftop PV field to help relevant researchers carry out in-depth research in the future.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Bai2020,

title = {Visualizing research trends and research theme evolution in E‐learning field: 1999–2018},

author = {Yang Bai and Hongxiu Li and Yong Liu},

url = {https://link.springer.com/article/10.1007/s11192-020-03760-7},

doi = {https://doi.org/10.1007/s11192-020-03760-7},

year  = {2020},

date = {2020-11-19},

urldate = {2020-11-19},

journal = {Scientometrics},

abstract = {This paper aims to provide a comprehensive understanding of the evolution of major research themes and trends in e-learning research. A co-word analysis is applied for the analysis of the 21,656 keywords collected from 7214 articles published in 10 journals in the field of e-learning from the years 1999 to 2018. Specifically, a cluster analysis, social network analysis, strategic diagram, and graph theory were applied in the analysis for two time periods: 1999–2008 and 2009–2018. The study detects the bridging, popular, and core topics in e-learning research for the two periods. The research results indicate that e-learning research has undergone a health evolution over the past two decades. There is a temporal continuity of e-learning research because some research topics have kept their continuity over the studied 20 years. Meanwhile, the research traditions in the e-learning field are also continuously evolving with the development of new technologies. The results also offer useful hints on the future direction of how the field may evolve.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Malanski2020b,

title = {Mapping the research domains on work in agriculture. A bibliometric review from Scopus database},

author = {Priscila Duarte Malanski and Benoît Dedieu and Sandra Mara de Alencar Schiavi},

url = {http://www.sciencedirect.com/science/article/pii/S0743016720311864},

doi = {https://doi.org/10.1016/j.jrurstud.2020.10.050},

issn = {0743-0167},

year  = {2020},

date = {2020-10-27},

urldate = {2020-10-27},

journal = {Journal of Rural Studies},

abstract = {Near to half of world population lives in rural areas, and agriculture is responsible for 28% of global employment. Structural changes in agriculture impacting labor and the low attractivity of employment and working conditions in this sector are the major issues for the permanence and renewal of the rural workforce. Promoting decent work is essential to reach sustainable development. According to the ILO definition, decent work involves a wide range of conditions linked between them that include and go beyond farming work (e.g. gender equity, workplace security, fair income, among others). This complex situation requires for scientists the analysis of the diverse topics, as well as the development of interdisciplinary approaches to deal with this diversity. A review of the scientific literature is necessary to summarize the knowledge that has been produced and identify the current trends related to work in agriculture. In order to provide a background in this topic, the aim of this study was to review the state of the international literature related to work in agriculture, through a bibliometric analysis of scientific articles indexed in Scopus bibliographical database. Our findings show that USA, UK, France and China are the leaders in the scientific landscape according to: geographical production of knowledge, main journals and authors, and most-cited articles. The analysis of work in agriculture is declined in five main research domains: 1) social issues in rural areas; 2) labor market; 3) household strategies of labor allocation, 4) work organization in livestock farms; and 5) occupational health in farms. These research domains are investigated by four main scientific communities that prevail in the international literature: 1) agricultural economics; 2) ergonomics; 3) social issues for rural development; and 5) livestock farming systems. Besides those mainstream research, three major research trends emerged: 1) migration and precarious employment condition; 2) work issues in advisory services; and 3) labor governance in global value chains. These trends reflect ongoing transformations in agriculture that are important to think about the future of the work in this sector and its impacts on sustainable development. We show for the first time the characteristics of the main scientific communities that have performed the most relevant research indexed in Scopus database related to work in agriculture over the past 10 years. This review offers an overview in an interdisciplinary topic, and provides a benchmark for future cutting-edge research. The ILO definition of decent work can be a guideline for focus and deepen specific topics, since our findings indicate that several of them are linked to work-related issues in agriculture, which could support sustainable development on this sector.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}