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@article{nokey,

title = {Fragmentation Across Scales, Geography, and Climate Challenges in European Urban Climate Change Adaptation and Mitigation Research: A Bibliometric and Systematic Review},

author = {Isabela Pichardo-Velázquez and Richard Dean Morales and Antonino Marvuglia },

url = {https://onlinelibrary.wiley.com/doi/pdf/10.1002/sd.71007

},

doi = {/10.1002/sd.71007},

year  = {2026},

date = {2026-03-18},

urldate = {2026-03-18},

journal = {Sustainable Development},

abstract = {European urban climate change research lacks integration across scales, geography, and climate challenges, despite Europe's coordinated policy frameworks. Through a hybrid bibliometric and systematic review of 1528 studies (2010–2025) using Cortext Manager and PRISMA 2020 guidelines, this study maps the conceptual patterns, knowledge gaps, and adaptation and mitigation measures in European urban climate change research. Findings reveal: (1) scale fragmentation between building- and city-level research; (2) geographic concentration in Italy, the United Kingdom, Spain, and Germany, neglecting the diversity of European urban typologies; and (3) isolated approaches to interconnected climate challenges, with Urban Heat Island (UHI) dominating the literature. This systemic fragmentation limits cities' capacity to evaluate co-benefits, trade-offs, and strategies aligned with SDG 11 targets. Based on an empirically derived taxonomy of European urban climate action, the study proposes a research agenda calling for transdisciplinary frameworks and integrated modeling approaches to bridge these silos and support evidence-based climate policy.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Marvin2024,

title = {Analyzing Research Trends in Deep-Tunnel Systems and Evaluation of Stormwater Pollutant Removal for Urban Runoff Management},

author = {John F. Uy Marvin and Enrico L. Robles Miguel and C. Vispo Chiny and Yugyeong Oh and Minsu Jeon and Lee Hyung Kim},

url = {https://www.j-kosham.or.kr/journal/view.php?number=10680

https://www.j-kosham.or.kr/upload/pdf/KOSHAM-2024-24-6-61.pdf},

doi = {/10.9798/KOSHAM.2024.24.6.61},

issn = {738-2424},

year  = {2024},

date = {2024-12-31},

journal = {Journal of the Korean Society of Hazard Mitigation},

volume = {24},

issue = {6},

pages = {61-72},

abstract = {Deep-tunnel systems are increasingly being recognized as an infrastructure solution for mitigating combined sewer overflows (CSOs) and managing urban stormwater, as evidenced by growing research interest. This study employed a bibliometric analysis method using Scopus to evaluate global research trends in deep-tunnel systems. This method revealed that while early studies primarily focused on flood mitigation, recent research has shifted toward exploring water quality improvements. An initial comprehensive review using keywords from the bibliometric analysis was conducted, highlighting the limited data relating deep-tunnel systems to water quality and underscoring a gap in the literature. A subsequent comprehensive review focusing on urban stormwater runoff was conducted to bridge the knowledge gap between flood mitigation and water quality enhancement in urban stormwater management. The analysis indicated that mixed urban areas showed the highest range of TSS concentrations, with a mean of 238.3 mg/L, while urban roads exhibited the highest mean TN and TP concentrations at 93.6 mg/L and 0.49 mg/L, respectively. For deep-tunnel systems, a design approach that considers the characteristics of pollutants in incoming stormwater and their reduction mechanisms is essential. This study’s findings provide foundational data for the development of deep-tunnel systems with integrated water treatment functions. Such systems could enhance urban resilience by addressing both flood risk and water quality challenges in rapidly urbanizing areas.



대심도 터널 시스템은 합류식 하수도 월류수(CSOs)를 완화하고, 도시 강우유출수를 관리하기 위한 인프라 기술로 점점 주목받고 있어 이에 대한 연구 관심도 증가하고 있다. 본 연구는 Scopus를 활용한 계량서지학적 분석을 통해 대심도 터널 시스템의 광범위한 연구동향을 평가하였다. 연구결과, 초기 연구에 주로 홍수완화를 중점으로 연구하였지만 최근들어 수질개선 가능성에 대한 관심이 높아졌다. 계량서지학적 분석을 통해 도출한 키워드를 바탕으로 초기 종합검토를 수행한 결과, 대심도 터널 시스템과 수질에 관한 문헌자료가 제한되어 데이터를 수집하는데 한계적이었다. 이러한 지식격차 문제를 해결하기 위해 홍수완화 및 수질개선을 도시 강우유출수 관리 바탕으로 후속 종합검토를 수행하였다. 그 결과 혼합 도시지역의 TSS 농도는 평균 238.3 mg/L로 가장 높은 수치가 나타났고, 도시 도로의 TN, TP 농도는 각각 평균 93.6 mg/L, 0.49 mg/L로 가장 높은 수치가 나타났다. 따라서 대심도 터널 시스템 설계 시 유입수의 오염물질 특성과 저감기작을 고려해야한다. 본 연구결과를 통하여 통합 수처리 기능을 갖춘 대심도 터널 시스템을 개발하는데 기초자료로 제공 가능하며, 이러한 시스템은 급격히 도시화되는 지역의 홍수위험과 수질문제를 동시에 해결함으로 도시 회복력을 강화하는 잠재력을 가지고 있다.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Mason2023d,

title = {Sustainable soil and land management: a systems-oriented overview of scientific literature},

author = {Eloïse Mason and Antonio Bispo and Mireille Matt and Katharina Helming and Elena Rodriguez and Rocio Lansac and Violeta Carrasco and Mohammad Rafiul Hashar and Loes Verdonk and Gundula Prokop and David Wall and Nancy Francis and Peter Laszlo and Michael T. Löbmann},

url = {https://www.frontiersin.org/articles/10.3389/fsoil.2023.1268037/full

},

doi = {10.3389/fsoil.2023.1268037},

year  = {2023},

date = {2023-12-18},

journal = {Frontiers in Soil Science},

abstract = {Healthy soil is vital for our wellbeing and wealth. However, increasing demand for food and biomass may lead to unsustainable soil and land management practices that threaten soils. Other degradation processes such as soil sealing also endanger soil resources. Identifying and accessing the best available knowledge is crucial to address related sustainability issues and promote the needed transition towards sustainable soil and land management practices. Such knowledge has to cover all knowledge domains, system knowledge, target knowledge, and transformation knowledge. However, a comprehensive overview of existing research addressing societal needs related to soil is still missing, which hinders the identification of knowledge gaps. This study provides a detailed analysis of scientific literature to identify ongoing research activities and trends. A quantitative and qualitative analysis of scientific literature related to sustainable soil and land management was conducted. A systems-oriented analytical framework was used that combines soil and land related societal challenges with related knowledge domains. Our analysis revealed a significant increase in scientific publications and related interest in soil and land use-related research, above the average increase of publications within all scientific fields. Different forms of reduction and remediation of soil degradation processes (e.g. erosion, contamination) have been studied most extensively. Other topic areas like land take mitigation, soil biodiversity increase, increase of ecosystem services provision and climate change mitigation and adaption seem to be rather recent concerns, less investigated. We could highlight the importance of context-specific research, as different regions require different practices. For instance, boreal, tropical, karst and peatland regions were less studied. Furthermore, we found that diversifying soil management practices such as agroforestry or including livestock into arable systems are valuable options for increasing biomass, mitigating/adapting to climate change, and improving soil related ecosystem services. A recent trend towards the latter research topic indicates the transition from a soil conservation-oriented perspective to a soil service-oriented perspective, which may be better suited to integrate the social and economic dimensions of soil health improvement alongside the ecological dimension.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Lim2023,

title = {Environmental, Social, and Governance (ESG) and Artificial Intelligence in Finance: State-of-the-Art and Research Takeaways},

author = {Tristan Lim},

url = {https://europepmc.org/article/ppr/ppr651155

https://www.researchgate.net/profile/Tristan_Lim5/publication/370228369_Environmental_Social_and_Governance_ESG_and_Artificial_Intelligence_in_Finance_State-of-the-Art_and_Research_Takeaways/links/64474633017bc07902d798dc/Environmental-Social-and-Governance-ESG-and-Artificial-Intelligence-in-Finance-State-of-the-Art-and-Research-Takeaways.pdf},

doi = {10.21203/rs.3.rs-2849051/v1},

year  = {2023},

date = {2023-04-01},

urldate = {2023-04-01},

abstract = {The rapidly growing research landscape in finance, encompassing environmental, social, and governance (ESG) topics and associated Artificial Intelligence (AI) applications, presents challenges for both new researchers and seasoned practitioners. This study aims to systematically map the research area, identify knowledge gaps, and examine potential research areas for researchers and practitioners. The investigation centers around three research questions: key research themes for ESG and AI in finance, research intensity and interest evolution, and the use and progression of AI techniques within these themes. Eight archetypical research domains were identified: (i) Trading and Investment, (ii) ESG Disclosure, Measurement and Governance, (iii) Firm Governance, (iv) Financial Markets and Instruments, (v) Risk Management, (vi) Forecasting and Valuation, (vii) Data, and (viii) Responsible Use of AI. Distinctive AI techniques were found to be employed across these archetypes. The study contributes to consolidating knowledge on the intersection of ESG, AI, and finance, offering an ontological inquiry and key takeaways for practitioners and researchers. Important insights include the popularity and crowding of the Trading and Investment domain, the growth potential of the Data archetype, and the high potential of Responsible Use of AI, despite its low publication count. By understanding the nuances of different research archetypes, researchers and practitioners can better navigate this complex landscape and contribute to a more sustainable and responsible financial sector.},

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{Jaramillo2021,

title = {Load modelling and non-intrusive load monitoring to integrate distributed energy resources in low and medium voltage networks},

author = {Andres F. Moreno Jaramillo and David M. Laverty and D. John Morrow and Jesús Martinez del Rincon and Aoife M. Foley},

url = {https://www.sciencedirect.com/science/article/pii/S0960148121010612},

doi = {https://doi.org/10.1016/j.renene.2021.07.056},

issn = {0960-1481},

year  = {2021},

date = {2021-12-01},

urldate = {2021-12-01},

journal = {Renewable Energy},

volume = {179},

pages = {445-466},

abstract = {In many countries distributed energy resources (DER) (e.g. photovoltaics, batteries, wind turbines, electric vehicles, electric heat pumps, air-conditioning units and smart domestic appliances) are part of the ‘Green Deal’ to deliver a climate neutral society. Policy roadmaps, despite providing a framework and penetration targets for DER, often lack the network planning strategies needed to transition from passive to active distribution networks. Currently, DER's dynamic performance parameters and location identification techniques are not fully standardised. In fact, it can be very ad hoc. Standardised distributed load modelling and non-intrusive load monitoring (NILM) for equipment manufacturers, installers and network operators is critical to low and medium voltage network management in order to facilitate better balancing, flexibility and electricity trading across and within the power system for mass DER deployment. The aim of this paper is to fill this load modelling and NILM knowledge gap for DERto inform the ‘Green Deal’ transition and support standardisation. In the paper, existing load modelling techniques and NILM methodologies are critically examined to inform and guide research activity, equipment development and regulator thinking, as well as network operators. Seven key findings that need urgent attention are identified to support a smooth power system reconfiguration.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Malanski2019b,

title = {Characteristics of “work in agriculture” scientific communities. A bibliometric review},

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

url = {https://link.springer.com/article/10.1007/s13593-019-0582-2},

doi = {10.1007/s13593-019-0582-2},

year  = {2019},

date = {2019-06-19},

urldate = {2019-06-19},

journal = {Agronomy for Sustainable Development},

volume = {39},

number = {36},

abstract = {Work is a central concern for sustainable farming systems and rural communities, especially regarding specific issues of the agricultural sector, as the strong decrease in rural employment and the less attractive working conditions. Many articles covering diverse related topics have been published. However, the few studies analyzing the state of worldwide scientific research on work in agriculture give only a fragmented view, since they focus on specialized topics and disciplines. To fill this knowledge gap, the aim of this study was to review the state of research on work in agriculture addressed by the scientific literature, through a bibliometric analysis by country, institution, journal, author, and keywords. Our main finds are that (1) work in agriculture issues is divided into six main research domains: occupational health and safety, labor market and rural employment, labor and farm sustainability, work organization, agricultural policy and agrarian changes, and labor and family farms; (2) these research domains are analyzed by five scientific communities: ergonomics, agricultural economics, livestock farming systems, rural sociology, and agricultural policy; (3) the reference authors, most-cited articles, and main journals were identified for each scientific community; (4) USA, France, and China arise as leaders in the scientific landscape. We show for the first time the characteristics of the main scientific communities worldwide that have performed the most relevant research related to work in agriculture over the past 10 years. This review provides a benchmark for future research on agricultural work-related topics and encourages collaborations between researchers from different scientific communities for interdisciplinary innovation, which support sustainable working conditions in agriculture.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{matos2018canyons,

title = {Canyons pride and prejudice: Exploring the submarine canyon research landscape, a history of geographic and thematic bias},

author = {Fábio L Matos and Steve W Ross and Veerle ann ida Huvenne and Jaime Davies and Marina R Cunha},

url = {https://doi.org/10.1016/j.pocean.2018.04.010},

doi = {10.1016/j.pocean.2018.04.010},

year  = {2018},

date = {2018-01-01},

urldate = {2018-01-01},

journal = {Progress in Oceanography},

publisher = {Elsevier},

abstract = {We mapped submarine canyon research using a scientometric approach to define and characterize its scientific landscape based on a comprehensive bibliographic dataset. The abundance of studies covering structural and functional aspects of submarine canyons allowed us to identify the existing knowledge clusters, historical trends, and emergent topics in canyon research. Our analysis documented a network of knowledge clusters of which four were particularly relevant: a strong cluster on “Geology & Geophysics”, well established since the beginnings of canyon research; a cluster on “Biology & Ecology” that gained strength primarily over the past two to three decades; a cluster on “Oceanographic Processes” which occupied a central position in the network and connected strongly to almost all the other clusters and especially to the fourth main cluster on “Modelling”. A smaller, but also well connected, cluster on “Biogeochemistry” related closely to “Biology & Ecology”, and three other small clusters (“Sedimentology”, “Sediments & Tidal Currents”, “Canyon Sampling”) bridged the main clusters. Finally, we identified three small, but specific satellite clusters (“Oil & Gas”, “Chemosynthetic Communities”, “Molecular & Symbionts”). The high-level structure of the knowledge network reflects a latent interdisciplinarity in canyon research. However, the evolution of the research lines over the past nine decades suggests that this pattern arose mostly in the new millennium. Emergent research topics in the last decade also reveal a concern regarding anthropogenic impacts and climate-driven processes. Our results also show a well implemented and international collaboration network, although research efforts have been mainly directed towards only a few canyon systems. A geographical and thematic bias also characterizes canyon research, with specific topics addressed preferentially in particular canyons by different leading research institutions. This spatial and thematic bias, together with the paucity of truly inter-disciplinary studies, may be the most important limitation to integrated knowledge and development in canyon research and hinders a global, more comprehensive understanding of canyon patterns and processes. The scientific landscape mapping and the complementary results are made available as an open and interactive platform that canyon stakeholders can use as a tool to identify knowledge gaps, to find key players in the global collaboration network and to facilitate planning of future research in submarine canyons.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}