Vasa Ćurčin
Impact in
- Health Information Management top 0.2%
- Electronic Health Records Systems
- Health Informatics top 1%
Papers in
- Epidemiology 28
- Chronic Disease Management Strategies 12
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- Semantic Web and Ontologies 16
- Co-authors
- Azeem Majeed (24 shared papers)Brendan Delaney (26 shared papers)Akkapon Wongkoblap (8 shared papers)Miguel A. Vadillo (8 shared papers)Mariam Molokhia (12 shared papers)Christopher Millett (11 shared papers)Moustafa Ghanem (15 shared papers)Robert Verheij (4 shared papers)
- Journals
- Learning Health Systems (6 papers)BMJ Open (5 papers)Journal of Medical Internet Research (4 papers)Alimentary Pharmacology & Therapeutics (3 papers)Future Generation Computer Systems (3 papers)
- Partner nations
- United KingdomSwedenSpain
In The Last Decade
Vasa Ćurčin
130 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 173
- Health Information Management 385
- Health Informatics 102
- Information Systems and Management 244
- Applied Psychology 170
- Endocrinology, Diabetes and Metabolism 403
Countries citing papers authored by Vasa Ćurčin
This map shows the geographic impact of Vasa Ćurčin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Vasa Ćurčin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vasa Ćurčin more than expected).
Fields of papers citing papers by Vasa Ćurčin
This network shows the impact of papers produced by Vasa Ćurčin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Vasa Ćurčin. The network helps show where Vasa Ćurčin may publish in the future.
Co-authors
The 25 scholars most cited alongside Vasa Ćurčin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 333 | |
| 2 | AMIA Summits on Translational Science Proceedings | 2016 | 199 |
| 3 | 2018 | 187 | |
| 4 | 2017 | 168 | |
| 5 | 2020 | 126 | |
| 6 | 2021 | 111 | |
| 7 | 2016 | 85 | |
| 8 | 2008 | 77 | |
| 9 | 2012 | 72 | |
| 10 | 2008 | 64 | |
| 11 | 2015 | 60 | |
| 12 | 2021 | 55 | |
| 13 | 2016 | 50 | |
| 14 | 2014 | 48 | |
| 15 | 2013 | 48 | |
| 16 | 2002 | 46 | |
| 17 | 2009 | 41 | |
| 18 | 2019 | 39 | |
| 19 | 2020 | 38 | |
| 20 | 2011 | 36 |
About Vasa Ćurčin
Vasa Ćurčin is a scholar working on Epidemiology, Artificial Intelligence, Health Information Management, Information Systems and Management and General Health Professions, having authored 140 papers that have together received 3.0k indexed citations. Recurring topics across this work include Scientific Computing and Data Management (24 papers), Electronic Health Records Systems (21 papers), Biomedical Text Mining and Ontologies (18 papers), Semantic Web and Ontologies (16 papers), Distributed and Parallel Computing Systems (13 papers), Chronic Disease Management Strategies (12 papers), Inflammatory Bowel Disease (10 papers) and Mental Health via Writing (10 papers). The work is most often cited by research in Health Information Management (385 citations), Health Informatics (102 citations), Information Systems and Management (244 citations), Applied Psychology (170 citations) and Endocrinology, Diabetes and Metabolism (403 citations). Vasa Ćurčin has collaborated with scholars based in United Kingdom, Sweden and Spain. Frequent co-authors include Azeem Majeed, Brendan Delaney, Akkapon Wongkoblap, Miguel A. Vadillo, Mariam Molokhia, Christopher Millett, Moustafa Ghanem, Robert Verheij, Mark McGilchrist and Kamlesh Khunti. Their work appears in journals such as Learning Health Systems, BMJ Open, Journal of Medical Internet Research, Alimentary Pharmacology & Therapeutics and Future Generation Computer Systems.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.