Vivek Patkar
- Artificial Intelligence top 10%
- Public Health, Environmental and Occupational Health
- Molecular Biology
- Health Information Management top 2%
- Oncology
- Co-authors
- John FoxDionisio AcostaAlison JonesT. DavidsonMohammad R. S. KeshtgarRichard ThomsonDavid GlasspoolMohammed Keshtgar
- Topics
- Clinical practice guidelines implementation (10 papers)Biomedical Text Mining and Ontologies (7 papers)Electronic Health Records Systems (6 papers)
- Partner nations
- United KingdomIndiaUnited States
In The Last Decade
Vivek Patkar
44 papers receiving 517 citations
Peers
Comparison fields: 5 of 119
- Artificial Intelligence 146
- Public Health, Environmental and Occupational Health 134
- Molecular Biology 110
- Health Information Management 96
- Oncology 75
Countries citing papers authored by Vivek Patkar
This map shows the geographic impact of Vivek Patkar'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 Vivek Patkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vivek Patkar more than expected).
Fields of papers citing papers by Vivek Patkar
This network shows the impact of papers produced by Vivek Patkar. 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 Vivek Patkar. The network helps show where Vivek Patkar may publish in the future.
Co-authorship network of co-authors of Vivek Patkar
This figure shows the co-authorship network connecting the top 25 collaborators of Vivek Patkar. A scholar is included among the top collaborators of Vivek Patkar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vivek Patkar. Vivek Patkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 20 | |
| 4 | 9 | |
| 5 | 13 | |
| 6 | 55 | |
| 7 | 2 | |
| 8 | Innovations in Library Practices: Prospects and Challenges* | 1 |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 14 | |
| 12 | Towards a General Model for Argumentation Services. | 5 |
| 13 | 39 | |
| 14 | 38 | |
| 15 | PROforma guidelines and care pathways: performance in trials and future plans | 5 |
| 16 | Data Mining Applications in Library and Academic Institutions | 2 |
| 17 | 30 | |
| 18 | Adaptation to Information Technology Developments by Library Ies | 1 |
| 19 | Information technology Adoption by Libraries: Opportunities and Barriers | 1 |
| 20 | 16 |
About Vivek Patkar
Vivek Patkar is a scholar working on Library and Information Sciences, Health Information Management and Health Informatics, having authored 48 papers that have together received 566 indexed citations. Recurring topics across this work include Clinical practice guidelines implementation (10 papers), Biomedical Text Mining and Ontologies (7 papers) and Electronic Health Records Systems (6 papers). The work is most often cited by research in Health Information Management (96 citations), Health Informatics (13 citations) and Artificial Intelligence (146 citations). Vivek Patkar has collaborated with scholars based in United Kingdom, India and United States. Frequent co-authors include John Fox, Dionisio Acosta, Alison Jones, T. Davidson, John Fox, Mohammad R. S. Keshtgar, Richard Thomson, David Glasspool, Mohammed Keshtgar and Matthew South. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research and European Journal of Operational Research.
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.