Sonish Sivarajkumar

32 total papers · 645 total citations
14 papers, 252 citations indexed

About

Sonish Sivarajkumar is a scholar working on Artificial Intelligence, Molecular Biology and Health Information Management. According to data from OpenAlex, Sonish Sivarajkumar has authored 14 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Molecular Biology and 3 papers in Health Information Management. Recurrent topics in Sonish Sivarajkumar's work include Machine Learning in Healthcare (6 papers), Topic Modeling (6 papers) and Biomedical Text Mining and Ontologies (4 papers). Sonish Sivarajkumar is often cited by papers focused on Machine Learning in Healthcare (6 papers), Topic Modeling (6 papers) and Biomedical Text Mining and Ontologies (4 papers). Sonish Sivarajkumar collaborates with scholars based in United States, Saudi Arabia and United Kingdom. Sonish Sivarajkumar's co-authors include Yanshan Wang, Shyam Visweswaran, Xizhi Wu, Giovanni Cacciamani, Yifan Peng, Sunyang Fu, Piyush Mathur, Shalini S. Yadav, David Oniani and Clayton R. Hunt and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Journal of the American Medical Informatics Association.

In The Last Decade

Sonish Sivarajkumar

13 papers receiving 245 citations

Hit Papers

A framework for human eva... 2024 2026 2024 2025 20 40 60

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sonish Sivarajkumar 84 67 52 29 27 14 252
Nazish Khalid 95 1.1× 89 1.3× 32 0.6× 48 1.7× 14 0.5× 12 276
Zabir Al Nazi 99 1.2× 53 0.8× 18 0.3× 32 1.1× 21 0.8× 13 255
Hui Zong 65 0.8× 69 1.0× 36 0.7× 47 1.6× 36 1.3× 28 254
Jie Zhang 49 0.6× 119 1.8× 15 0.3× 61 2.1× 18 0.7× 23 294
Joshua Pantanowitz 75 0.9× 68 1.0× 31 0.6× 67 2.3× 27 1.0× 17 249
Ritwik Sinha 45 0.5× 69 1.0× 16 0.3× 52 1.8× 35 1.3× 34 275
Heming Yao 34 0.4× 20 0.3× 41 0.8× 48 1.7× 55 2.0× 25 318
Francisco Maria Calisto 182 2.2× 116 1.7× 17 0.3× 85 2.9× 22 0.8× 9 331
Shumei Miao 61 0.7× 18 0.3× 27 0.5× 47 1.6× 84 3.1× 23 268
Saeed Amal 88 1.0× 27 0.4× 18 0.3× 59 2.0× 17 0.6× 17 210

Countries citing papers authored by Sonish Sivarajkumar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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