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@article{Nemati-Anaraki2024,

title = {A bibliometric Overview and visualization of Koomesh Journal from 2006 to 2022},

author = {Leila Nemati-Anaraki and Ali Ouchi and Maedeh Pourmojdegani},

url = {https://repository.brieflands.com/handle/123456789/61490

https://repository.brieflands.com/items/9d70b205-f684-489b-a781-1dc6b40049fb

https://brieflands.com/articles/koomesh-152853.pdf},

year  = {2024},

date = {2024-08-06},

urldate = {2024-08-06},

journal = {Koomesh},

volume = {25},

issue = {4},

pages = {535-549},

publisher = {Brieflands},

address = {Iran},

abstract = {هدف:مجله کومشيکمجله قديميو پيشرودر ايراناست که از سال2006به عنوان بستريبرايتحقيقاتحوزه پزشکي

خدمت کرده است. هدف اصلياينمطالعه ارائهيکنمايکلياز ساختار انتشارات مجله کومش طيسالهاي2006تا2022از

طريقتحليلکتابسنجياست.

مواد و روشها:اينمطالعه با رويکردکتابسنجيانجام شد. جامعه مطالعه را1238سند منتشر شده در مجله کومش

تشکيلميدهد.دادههايکتابشناختيايناسناد از پايگاهداده اسکوپوس استخراج شد و روندها و موضوعات مهم مجله مانند

ساختار انتشار و استناد مجله، مقاالت پر استناد آن، نويسندگان،مؤسسات و کشورها با استفاده از طيفوسيعيازتکنيکها و

ابزارهايمختلف کتابسنجياز جمله اکسل،SPSSنسخه26،VOS Viewer،CorTexوBiblioshinyاستخراج شد.

يافتهها:کومش هم از نظر بهرهوريو هم از نظر نفوذ ابتدا با افت و خيزهاييرشد کرده و سپس کاهشيافتهاست. دانشگاه

علوم پزشکيسمنان و کشور ايرانبه ترتيبموسسه و کشور با بيشتريندرصد مشارکت در اينمجله هستند. راهب قرباني

تاثيرگذارترينو پرکارتريننويسندهکومش بود. ميزان همتاليفي ًنسبتاخوبيبيننويسندگانبرتر مجله وجود دارد. بيشترين

همتاليفيبينکشورهايايرانو سوئد و از نظر شهر، بينتهران و سمنان صورت گرفته است. کلمات ايران،ورزش و اضطراببه

ترتيبسه کلمه مهم و پرتکرار نويسندگانبوده است. بيشترينبحث نيزبر رويموضوعاتprecision medicineو کوويد-19

بود.

نتيجهگيري:اينمطالعهيکنمايکلياز ساختار انتشارات مجله کومش طيسالهاي2006تا2022ارائه کرده است. اين

مطالعه ممکن است برايهيئتتحريريهمجله مفيدباشد، زيرااطالعات متعدد و مفيديرا برايپيشرفتو ادامه راهکومش

فراهم ميکند.



Introduction: The Koomesh Journal, a pioneering and influential medical research publication in Iran, has been active since 2006. This study aims to offer a comprehensive overview of the journal's publication structure from 2006 to 2022 using bibliometric analysis.

Materials and Methods: This study was conducted with a bibliometric approach. The study population consists of 1238 documents published in the Koomesh Journal. The bibliographic data of these documents were extracted from the Scopus database, and various bibliometric techniques and tools, such as Excel 365, SPSS 26, VOS Viewer, CorTex, and Biblioshiny, were extracted to examine trends and significant topics such as the journal's publication and citation structure, highly cited articles, authors, institutions, and countries.

Results: Koomesh experienced fluctuations in productivity and impact before declining. Semnan University of Medical Sciences and Iran were the institutions and countries with the highest participation rates, respectively. Raheb Ghorbani emerged as the most influential and prolific author. The article "Estimation of natural age of menopause in Iranian women: A meta-analysis study" received the most citations. A considerable degree of co-authorship existed among the journal's top authors, with the most collaboration occurring between Iran and Sweden and, in terms of cities, Tehran and Semnan. The terms Iran, sports, and anxiety were the most prevalent and significant. The most discussion was on precision medicine and COVID-19.

Conclusion: This study has provided an overview of the publication structure of Koomesh Journal during the years 2006 to 2022. This study may be useful for the editorial board of the journal, because it provides numerous and useful information for the progress and continuation of the work.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Truchet-Aznar2024,

title = {How Does Regional Science Address Environmental Issues? A Bibliometric Analysis of Two Decades of Publications},

author = {Stéphanie Truchet-Aznar and Francis Aubert and Olivier Aznar and Béatrice Davi},

url = {https://journals.sagepub.com/doi/full/10.1177/01600176241267206},

doi = {/10.1177/01600176241267206},

issn = {0160-0176},

year  = {2024},

date = {2024-07-23},

journal = {Sage},

publisher = {SAGE Publications},

abstract = {Using bibliometric methods, this paper is aimed at providing an overview of Regional Science publications that address environmental issues. The analysis covers a corpus of 1145 articles that refer to the environment in their title, abstract or keywords and published in 18 journals between 1999 and 2020. Although these publications account for only 6 percent of the articles published in these journals over that period, their number gradually increased. To gain a clearer picture of the environmental issues addressed, we characterise them according to whether an integrative or topical approach is adopted and by their spatial dimensions. This analytical framework is first applied by searching for specific terms in their title, keywords and abstract. The results show that both approaches are equally effective; further, these articles address intraregional or interregional environmental issues more than global environmental issues. Second, we conduct a keyword co-occurrence analysis revealing four coherent thematic article groups treating environmental issues from the perspectives of amenities and migration, governance and policy, innovation and clusters, and land use and urban sprawl. More detailed analyses of each group allowed us to refine our understanding of how environmental issues were addressed. Finally, a cross-cutting view of the four thematic groups suggests that Regional Science approaches environmental issues through spatial disparities and inequalities, spatial interactions and interdependencies, and the spatial dimension of public action. The research perspectives in each of these areas are highlighted.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Mesmoudi2024,

title = {Transdisciplinary method for exploration and visualization of neuroimaging papers and databases: Application to PTSD},

author = {Salma Mesmoudi and Fanny Dégeilh and Waldo Cancino and Mathieu Rodic and Denis Peschanski and Francis Eustache},

url = {https://www.sciencedirect.com/science/article/pii/S0003448724002142},

doi = {/10.1016/j.amp.2024.06.003},

year  = {2024},

date = {2024-07-14},

urldate = {2024-07-14},

abstract = {A major improvement in MRI techniques has led to an exponential increase in data acquisition and, consequently, in the number of published articles reporting brain impairments and cognitive deficits underlying a disorder. Meta-analysis offers a means of synthesizing the available literature, testing existing models in the light of scientific advances, and revealing unexpected information. However, article selection, author specialization and top-down hypotheses can mask some results and introduce bias into interpretations. LinkRdata is a platform for automated, data-driven, meta-analytical methods suitable for processing large numbers of MRI articles, that can reduce selection and interpretation biases, thereby allowing scientists to review neurocognitive correlates of disorders in relation to their own corpus of articles. To validate our method, we applied it to fMRI studies of post-traumatic stress disorder. Results confirmed LinkRdata's power to uncover findings hidden by the top-down hypothesis approach.



Méthode transdisciplinaire d’exploration et de visualisation d’articles et de bases de données de neuroimagerie : application au stress post-traumatique



Une amélioration majeure des techniques d’IRM a conduit à une augmentation exponentielle de l’acquisition de données et, par conséquent, du nombre d’articles publiés rapportant des altérations cérébrales et des déficits cognitifs liés à un trouble. La méta-analyse offre un moyen de synthétiser la littérature disponible, de tester les modèles existants à la lumière des avancées scientifiques, et de révéler des informations inattendues. Cependant, la sélection des articles, la spécialisation des auteurs et les hypothèses descendantes peuvent masquer certains résultats et introduire des biais dans les interprétations. LinkRdata est une plateforme de méthodes méta-analytiques automatisées et basées sur les données, adaptée au traitement d’un grand nombre d’articles d’IRM, qui peut réduire les biais de sélection et d’interprétation, permettant ainsi aux chercheurs de passer en revue les corrélats neurocognitifs des troubles en relation avec leur propre corpus d’articles. Pour valider notre méthode, nous l’avons appliquée à des études d’IRMf sur le trouble de stress post-traumatique. Les résultats ont confirmé la capacité de LinkRdata à mettre en évidence des résultats cachés par l’approche hypothétique descendante.},

note = {Annales Médico-psychologiques, revue psychiatrique},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Li2024,

title = {Computational intelligence and its dynamic development: statistical exploration, comprehensive evaluation and prospect expansion},

author = {Bo Li and Zeshui Xu and Xinxin Wang},

url = {https://link.springer.com/article/10.1007/s00500-024-09789-7},

doi = {/10.1007/s00500-024-09789-7},

year  = {2024},

date = {2024-07-05},

journal = {Soft Computing},

volume = {28},

pages = {9371–9386},

abstract = {Computational intelligence (CI) has become one of the most useful and successful tools for dealing with uncertainties and complex problems in many fields, such as neural networks, genetic algorithms, and swarm intelligence, artificial intelligence, risk management, financial monitoring, etc. With the development of CI, abundant publications have arisen related to many research directions and hotspots. Based on the technical support from bibliometrics and the corresponding approach as well as the content analysis, this study conducts a science mapping analysis and a coherent knowledge picture of the research field in CI. The research contributes to clear future development trends and provides more ideas for scholars in this field. First, this paper focuses on the fundamental characteristics of CI publications, including annual numbers, term co-occurrence, and hot research directions, as the preliminary exploration of this field. Then, according to the widely used core database, i.e., Web of Science (WoS), and the technologies of software, VOS viewer, and CiteSpace, the productive institutions, authors, and journals are explored. Next, the corresponding internal characteristics of the CI research are analyzed, including the citation features of countries/regions, institutions, journals and authors. Furthermore, to analyze the development trend of research hotspots, the keywords of all CI publications are studied: (a) classifying them into three phases in chronological order aimed; (b) implementing the burst detection algorithm to intuitively reflect the scientific research in the field of CI. Finally, this paper provides a relatively throughout perspective for the CI articles and reviews and discloses the future development trend, which will help the scholars interested in this area conduct deep research. We conclude this bibliometric overview with the limitations and recommendations for future research in the field of CI.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}