Dipak Kalra
- Health Information Management top 0.1%
- Public Health, Environmental and Occupational Health top 5%
- Molecular Biology
- General Health Professions top 5%
- Artificial Intelligence top 5%
- Co-authors
- Archana TapuriaAziz SheikhZoë MorrisonBernard FernandoGeorges De MoorVasa ĆurčinPascal CoorevitsXiaohui Sun
- Topics
- Electronic Health Records Systems (53 papers)Biomedical Text Mining and Ontologies (28 papers)Ethics in Clinical Research (20 papers)
- Journals
- The LancetSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United KingdomBelgiumUnited States
In The Last Decade
Dipak Kalra
101 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 133
- Health Information Management 545
- Public Health, Environmental and Occupational Health 341
- Molecular Biology 302
- General Health Professions 264
- Artificial Intelligence 259
Countries citing papers authored by Dipak Kalra
This map shows the geographic impact of Dipak Kalra'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 Dipak Kalra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dipak Kalra more than expected).
Fields of papers citing papers by Dipak Kalra
This network shows the impact of papers produced by Dipak Kalra. 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 Dipak Kalra. The network helps show where Dipak Kalra may publish in the future.
Co-authorship network of co-authors of Dipak Kalra
This figure shows the co-authorship network connecting the top 25 collaborators of Dipak Kalra. A scholar is included among the top collaborators of Dipak Kalra 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 Dipak Kalra. Dipak Kalra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 9 | |
| 8 | 3 | |
| 9 | 37 | |
| 10 | 21 | |
| 11 | 1 | |
| 12 | 52 | |
| 13 | 1 | |
| 14 | 26 | |
| 15 | 3 | |
| 16 | 33 | |
| 17 | 5 | |
| 18 | 14 | |
| 19 | ISO DTS 13606 Electronic Health Record Communication Part 4: Security [44 pages] | 2 |
| 20 | A linkable identity privacy algorithm for HealthGrid. | 9 |
About Dipak Kalra
Dipak Kalra is a scholar working on Health Information Management, Health Informatics and Issues, ethics and legal aspects, having authored 108 papers that have together received 1.4k indexed citations. Recurring topics across this work include Electronic Health Records Systems (53 papers), Biomedical Text Mining and Ontologies (28 papers) and Ethics in Clinical Research (20 papers). The work is most often cited by research in Health Information Management (545 citations), Health Informatics (82 citations) and Issues, ethics and legal aspects (26 citations). Dipak Kalra has collaborated with scholars based in United Kingdom, Belgium and United States. Frequent co-authors include Archana Tapuria, Aziz Sheikh, Zoë Morrison, Bernard Fernando, Georges De Moor, Vasa Ćurčin, Pascal Coorevits, Xiaohui Sun, Jan Talmon and Arie Hasman. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología 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.