Analyzing the influence of differential equations in mathematical modeling approaches for Covid-19: A bibliometric perspective DOI Creative Commons

K Gavirangaiah

Iberoamerican Journal of Science Measurement and Communication, Год журнала: 2023, Номер 3(2)

Опубликована: Авг. 17, 2023

Objective. This study aims to provide a comprehensive analysis of global publications on differential equations in mathematical modeling approaches for understanding and combating the COVID-19 pandemic. Design/Methodology/Approach. The analyses dataset 964 documents from 353 sources 2020 – 2023. Various parameters, such as publication growth rate, citation impact, collaboration patterns, document types, distribution citations, are examined. utilizes tables figures present findings effectively. Results/Discussion. reveals decline output over years, indicated by negative annual rate. However, remains contributes valuable insights field. have made significant contributions, evidenced average citations per extensive reference list. Collaboration among authors is prevalent, with substantial portion co-authorships being international. identifies prominent papers high counts, emphasizing their influence recognition within academic community. Conclusion. highlight need continued research efforts advancements COVID-19. emphasizes importance maintaining robust scientific impact contributing effectively ongoing fight against It underscores significance highlights countries institutions notable productivity Originality/Value. provides role presents novel into trends, citations. contribute landscape offer information researchers practitioners seeking advance field combat pandemic

Язык: Английский

COVID-19 associated mucormycosis: A bibliometric analysis of Indian research based on Scopus DOI Creative Commons
Devi Dayal, Brij Mohan Gupta, Jivesh Bansal

и другие.

Iberoamerican Journal of Science Measurement and Communication, Год журнала: 2023, Номер 3(2)

Опубликована: Сен. 20, 2023

Objective. Invasive fungal infections, specifically mucormycosis, showed a massive surge during the COVID-19 pandemic, forcing global medical fraternity to research this highly fatal co-infection. India has contributed significantly COVID-19-associated mucormycosis (CAM) research, but bibliometric analysis of topic is scarce. Using established methods, we aimed provide yield and impact CAM in India. Design/Methodology/Approach. The publication data on was extracted from Scopus. Data analyzed using quality indices such as citations per paper (CPP), relative citation index (RCI), total linkage strength (TLS). Results/Discussion. 640 (61.2%) 1045 publications involving 548 authors 247 organizations. Only 62 (9.8%) 96 (15.0%) were funded collaborative. focused clinical features (36.5%), complications (21.7%), risk factors (19.2%), epidemiology (12.3%), diagnostics & imaging (6.8%), treatment outcomes (4.5%), prognosis (3.4%) pathophysiology (3.1%). average CPP Indian 7.8 compared 28.2 France, 17.8 USA, 8.7 Saudi Arabia, 8.3 Bangladesh, 8.1 Iran. major collaborations with UK, Pakistan, Malaysia, UAE. most productive organizations PGIMER-Chandigarh (n=47), AIIMS-New Delhi (n=44), AIIIMS-Jodhpur (n=17), whereas impactful SMS Medical College, Jaipur, SGPGIMS, Lucknow BJ Ahmedabad. A. Chakrabarti, V. Muthu, R. Agarwal, I.S. Sehgal, Muthu. preferred journals Journal Ophthalmology, Otolaryngology Head Neck Surgery, BMJ Case Reports. Conclusions. Even though topmost contributor its lower than those France USA. largely non-funded. There need improve international collaboration increase focus pathophysiology, epidemiology, pediatric aspects. This may lead an improved understanding survival affected patients.

Язык: Английский

Процитировано

7

Scientometric Mapping of Mucormycosis Research in Relation to the COVID-19 Pandemic DOI Creative Commons
Devi Dayal, Brij Mohan Gupta, Mallikarjun Kappi

и другие.

International Journal of Medicine and Public Health, Год журнала: 2022, Номер 12(2), С. 50 - 55

Опубликована: Апрель 29, 2022

International Journal of Medicine and Public Health,2022,12,2,50-55.DOI:10.5530/ijmedph.2022.2.11Published:April 2022Type:Review ArticleScientometric Mapping Mucormycosis Research in Relation to the COVID-19 PandemicDevi Dayal, Brij Mohan Gupta, Mallikarjun Kappi Devi Dayal1,*, Gupta2, Kappi3 1Department Pediatrics, Postgraduate Institute Medical Education Research, Chandigarh. INDIA. 2Formerly with CSIR-National Science, Technology Development Studies, New Delhi, 3Government First Grade College, Jagalur, Davanagere University, Davanagere, Karnataka, Abstract:Background: is an invasive fungal infection that has shown a surge during pandemic. A comprehensive assessment associated mucormycosis (CAM) research lacking. Methods: We searched Elsevier’s Scopus database for publications on CAM using pre-defined search strategy. Data numbers, citation metrics, contributing countries, institutions, authors, journals, most cited articles were analyzed select bibliometric tools. Results: Published included 253 publications. These 1560 times, averaging 6.1 citations per paper. Only 33 (13%) funded. Original (55.7%) reviews (17.7%) constituted major share global output. The studied age groups adults (22.5%), middle-aged (19.3%), elderly (10.6%), adolescents (0.8%). Studies treatment accounted largest (58.5%), followed by clinical studies (28.0%), complications (17.3%), risk factors (11.7%), epidemiology (7.9%), pathophysiology (3.1%). participating countries 64; India, USA, Egypt led productivity, whereas France, Iran more impactful. Of 84 organizations, leading organizations PGIMER-Chandigarh, AIIMS-New Delhi Cairo Egypt. A. Chakrabarti, V. Muthu, S.M. Rudramurthy productive 160 authors. Indian Ophthalmology, Otolaryngology Head Neck Surgery, Fungi active journals published research. Conclusion: primarily been conducted middleincome low quality. High-income need collaborate lowand middle-income sustainable universal impact. There also focus gaps such as future Keywords:Bibliometrics, CAM, Coronavirus disease 2019, mucormycosis, Fungal infectionsView:PDF (160.79 KB)

Язык: Английский

Процитировано

3

Analyzing the influence of differential equations in mathematical modeling approaches for Covid-19: A bibliometric perspective DOI Creative Commons

K Gavirangaiah

Iberoamerican Journal of Science Measurement and Communication, Год журнала: 2023, Номер 3(2)

Опубликована: Авг. 17, 2023

Objective. This study aims to provide a comprehensive analysis of global publications on differential equations in mathematical modeling approaches for understanding and combating the COVID-19 pandemic. Design/Methodology/Approach. The analyses dataset 964 documents from 353 sources 2020 – 2023. Various parameters, such as publication growth rate, citation impact, collaboration patterns, document types, distribution citations, are examined. utilizes tables figures present findings effectively. Results/Discussion. reveals decline output over years, indicated by negative annual rate. However, remains contributes valuable insights field. have made significant contributions, evidenced average citations per extensive reference list. Collaboration among authors is prevalent, with substantial portion co-authorships being international. identifies prominent papers high counts, emphasizing their influence recognition within academic community. Conclusion. highlight need continued research efforts advancements COVID-19. emphasizes importance maintaining robust scientific impact contributing effectively ongoing fight against It underscores significance highlights countries institutions notable productivity Originality/Value. provides role presents novel into trends, citations. contribute landscape offer information researchers practitioners seeking advance field combat pandemic

Язык: Английский

Процитировано

0