Sonish Sivarajkumar
About
In The Last Decade
Sonish Sivarajkumar
13 papers receiving 267 citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Artificial Intelligence 84
- Health Informatics 77
- Biomedical Engineering 56
- Radiology, Nuclear Medicine and Imaging 30
- Molecular Biology 28
Countries citing papers authored by Sonish Sivarajkumar
This map shows the geographic impact of Sonish Sivarajkumar'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 Sonish Sivarajkumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonish Sivarajkumar more than expected).
Fields of papers citing papers by Sonish Sivarajkumar
This network shows the impact of papers produced by Sonish Sivarajkumar. 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 Sonish Sivarajkumar. The network helps show where Sonish Sivarajkumar may publish in the future.
Co-authorship network of co-authors of Sonish Sivarajkumar
This figure shows the co-authorship network connecting the top 25 collaborators of Sonish Sivarajkumar. A scholar is included among the top collaborators of Sonish Sivarajkumar 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 Sonish Sivarajkumar. Sonish Sivarajkumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | A Scoping Review of Artificial Intelligence for Precision Nutrition breakdown → | 18 |
| 3 | 9 | |
| 4 | 10 | |
| 5 | 7 | |
| 6 | 61 | |
| 7 | A framework for human evaluation of large language models in healthcare derived from literature review breakdown → | 77 |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 6 | |
| 12 | 3 | |
| 13 | 0 | |
| 14 | 70 |
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.