Rishikesan Kamaleswaran
- Epidemiology top 10%
- Artificial Intelligence top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Pulmonary and Respiratory Medicine top 10%
- Surgery
- Co-authors
- Oğuz AkbilgiçRuhi MahajanRobert L. DavisAkram MohammedFranco van WykAnahita KhojandiAzade TabaieCarolyn McGregor
- Topics
- Sepsis Diagnosis and Treatment (42 papers)Machine Learning in Healthcare (22 papers)Hemodynamic Monitoring and Therapy (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEPEDIATRICS
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Rishikesan Kamaleswaran
103 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 130
- Epidemiology 393
- Artificial Intelligence 286
- Cardiology and Cardiovascular Medicine 238
- Pulmonary and Respiratory Medicine 219
- Surgery 205
Countries citing papers authored by Rishikesan Kamaleswaran
This map shows the geographic impact of Rishikesan Kamaleswaran'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 Rishikesan Kamaleswaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rishikesan Kamaleswaran more than expected).
Fields of papers citing papers by Rishikesan Kamaleswaran
This network shows the impact of papers produced by Rishikesan Kamaleswaran. 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 Rishikesan Kamaleswaran. The network helps show where Rishikesan Kamaleswaran may publish in the future.
Co-authorship network of co-authors of Rishikesan Kamaleswaran
This figure shows the co-authorship network connecting the top 25 collaborators of Rishikesan Kamaleswaran. A scholar is included among the top collaborators of Rishikesan Kamaleswaran 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 Rishikesan Kamaleswaran. Rishikesan Kamaleswaran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 12 | |
| 14 | 10 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | 5 | |
| 18 | 31 | |
| 19 | 1 | |
| 20 | 35 |
About Rishikesan Kamaleswaran
Rishikesan Kamaleswaran is a scholar working on Critical Care and Intensive Care Medicine, Health Informatics and Health Information Management, having authored 117 papers that have together received 1.1k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (42 papers), Machine Learning in Healthcare (22 papers) and Hemodynamic Monitoring and Therapy (16 papers). The work is most often cited by research in Health Informatics (87 citations), Family Practice (60 citations) and Health Information Management (67 citations). Rishikesan Kamaleswaran has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Oğuz Akbilgiç, Ruhi Mahajan, Robert L. Davis, Akram Mohammed, Franco van Wyk, Anahita Khojandi, Azade Tabaie, Carolyn McGregor, Andre L. Holder and Alina Nico West. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and PEDIATRICS.
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.