Vasa Ćurčin

148 papers receiving 3.2k citations

Vasa Ćurčin's Hit Papers

Impact of patient access to their electronic health record: systematic review 2021 · 129 citations
1290+2+5Years since publication50100150

Peers

Vasa Ćurčin
Comparison fields: 5 of 174
  • Health Informatics 87
  • Health Information Management 280
  • Information Systems and Management 301
  • Applied Psychology 154
  • Endocrinology, Diabetes and Metabolism 311
Replace Martijn J. Schuemie with:
Martijn J. Schuemie United States
Justin Starren United States
Gunnar Hartvigsen Norway
Miguel López-Coronado Spain
Siaw‐Teng Liaw Australia
Ida Sim United States
Christian Lovis Switzerland
Steven R. Steinhubl United States
John H. Holmes United States
Albert M. Lai United States
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Citations per field
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Citations per year

Countries citing papers authored by Vasa Ćurčin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Vasa Ćurčin Line = papers co-authored together Vasa Ćurčin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 159 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009339
2
AMIA Summits on Translational Science Proceedings
2016227
3
Possible Sources of Bias in Primary Care Electronic Health Record Data Use and Reuse
Hit paper breakdown →
2018199
4 2017192
5 2020138
6
Impact of patient access to their electronic health record: systematic review
Hit paper breakdown →
2021129
7 200891
8 201687
9 201272
10 200867
11 201564
12 202158
13 200257
14 201652
15 201349
16 201448
17 201943
18 200942
19 201139
20 202039

About Vasa Ćurčin

Vasa Ćurčin is a scholar working on Information Systems and Management, Computer Networks and Communications, Artificial Intelligence, Health Information Management and Information Systems, having authored 159 papers that have together received 3.3k indexed citations. Recurring topics across this work include Scientific Computing and Data Management (32 papers), Distributed and Parallel Computing Systems (20 papers), Electronic Health Records Systems (17 papers), Research Data Management Practices (13 papers), Multi-Agent Systems and Negotiation (10 papers), Semantic Web and Ontologies (10 papers), Biomedical Text Mining and Ontologies (10 papers) and Data Quality and Management (9 papers). The work is most often cited by research in Health Informatics (87 citations), Health Information Management (280 citations), Information Systems and Management (301 citations), Applied Psychology (154 citations) and Endocrinology, Diabetes and Metabolism (311 citations). Vasa Ćurčin has collaborated with scholars based in United Kingdom, Spain and Sweden. Frequent co-authors include Azeem Majeed, Brendan Delaney, Akkapon Wongkoblap, Miguel A. Vadillo, Moustafa Ghanem, Mariam Molokhia, Christopher Millett, Robert Verheij, Mark McGilchrist and Kamlesh Khunti. Their work appears in journals such as Learning Health Systems, BMJ Open, Journal of Medical Internet Research, Journal of Biomedical Informatics and PLoS ONE.

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.

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