Ravi Shankar
- Co-authors
- Atul J. ButteSanchita BhattacharyaPatrick DunnElizabeth ThomsonJieming ChenKelly A. ZalocuskyCristel G. ThomasHenry Schaefer
- Topics
- Biomedical Text Mining and Ontologies (11 papers)Semantic Web and Ontologies (7 papers)Clinical practice guidelines implementation (6 papers)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Ravi Shankar
38 papers receiving 881 citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Molecular Biology 416
- Pulmonary and Respiratory Medicine 179
- Oncology 153
- Cancer Research 149
- Immunology 147
Countries citing papers authored by Ravi Shankar
This map shows the geographic impact of Ravi Shankar'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 Ravi Shankar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravi Shankar more than expected).
Fields of papers citing papers by Ravi Shankar
This network shows the impact of papers produced by Ravi Shankar. 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 Ravi Shankar. The network helps show where Ravi Shankar may publish in the future.
Co-authorship network of co-authors of Ravi Shankar
This figure shows the co-authorship network connecting the top 25 collaborators of Ravi Shankar. A scholar is included among the top collaborators of Ravi Shankar 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 Ravi Shankar. Ravi Shankar 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 | 7 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 6 | |
| 7 | 6 | |
| 8 | 7 | |
| 9 | 9 | |
| 10 | ImmPort, toward repurposing of open access immunological assay data for translational and clinical researchbreakdown → | 504 |
| 11 | 20 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | The SWRLAPI: A Development Environment for Working with SWRL Rules. | 16 |
| 15 | 2 | |
| 16 | 77 | |
| 17 | Use of Protege-2000 to Encode Clinical Guidelines. | 3 |
| 18 | A Client-Server Framework for Deploying a Decision-support System in a Resource-constrained Environment | 1 |
| 19 | Explanations for a Hypertension Decision Support System. | 1 |
| 20 | Implementing clinical practice guidelines while taking account of changing evidence: ATHENA DSS, an easily modifiable decision-support system for managing hypertension in primary care. | 68 |
About Ravi Shankar
Ravi Shankar is a scholar working on Health Information Management, Family Practice and Biophysics, having authored 41 papers that have together received 905 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (11 papers), Semantic Web and Ontologies (7 papers) and Clinical practice guidelines implementation (6 papers). The work is most often cited by research in Health Information Management (102 citations), Cancer Research (149 citations) and Medical Terminology (2 citations). Ravi Shankar has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Atul J. Butte, Sanchita Bhattacharya, Patrick Dunn, Elizabeth Thomson, Jieming Chen, Kelly A. Zalocusky, Cristel G. Thomas, Henry Schaefer, Jeffrey A. Wiser and Shai S. Shen-Orr. Their work appears in journals such as Bioinformatics, PLoS ONE and Journal of the American Medical Informatics Association.
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.