Arvind Rajasekaran

17 total papers · 1.6k total citations
6 papers, 53 citations indexed

About

Arvind Rajasekaran is a scholar working on Pulmonary and Respiratory Medicine, Health Informatics and Epidemiology. According to data from OpenAlex, Arvind Rajasekaran has authored 6 papers receiving a total of 53 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pulmonary and Respiratory Medicine, 2 papers in Health Informatics and 2 papers in Epidemiology. Recurrent topics in Arvind Rajasekaran's work include Artificial Intelligence in Healthcare and Education (2 papers), COVID-19 diagnosis using AI (2 papers) and Phonocardiography and Auscultation Techniques (1 paper). Arvind Rajasekaran is often cited by papers focused on Artificial Intelligence in Healthcare and Education (2 papers), COVID-19 diagnosis using AI (2 papers) and Phonocardiography and Auscultation Techniques (1 paper). Arvind Rajasekaran collaborates with scholars based in United Kingdom and United Arab Emirates. Arvind Rajasekaran's co-authors include V. Saravanan, Clive Kelly, Shereen Fouad, Lloyd J. Edwards, Sarbjit Clare, Thomas G. Knight, Daniel Lasserson, Sofia Tosounidou, Catherine McGrath and John Morlese and has published in prestigious journals such as PLoS ONE, Rheumatology Advances in Practice and Acute Medicine Journal.

In The Last Decade

Arvind Rajasekaran

4 papers receiving 51 citations

Author Peers

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

Author Last Decade Papers Cites
Arvind Rajasekaran 41 23 15 14 14 6 53
Hagen Ott 39 1.0× 54 2.3× 13 0.9× 18 1.3× 31 2.2× 6 224
María Luisa Velloso-Feijoó 61 1.5× 47 2.0× 25 1.7× 22 1.6× 19 1.4× 5 67
Stephen R. Freeman 79 1.9× 22 1.0× 12 0.8× 51 3.6× 7 0.5× 6 220
D E Jewitt 29 0.7× 9 0.4× 18 1.2× 42 3.0× 30 2.1× 8 228
Edwards A. Park 16 0.4× 20 0.9× 58 3.9× 18 1.3× 23 1.6× 5 225
M. Moya 17 0.4× 27 1.2× 11 0.7× 9 0.6× 53 3.8× 6 219
Berj Armenian 39 1.0× 20 0.9× 15 1.0× 21 1.5× 3 0.2× 8 228
Tomohiro Dohke 32 0.8× 12 0.5× 5 0.3× 27 1.9× 3 0.2× 5 243
Harriet Gordon 17 0.4× 15 0.7× 5 0.3× 42 3.0× 15 1.1× 8 234
Kaïssa de Boer 58 1.4× 26 1.1× 9 0.6× 4 0.3× 5 0.4× 7 63

Countries citing papers authored by Arvind Rajasekaran

Since Specialization
Citations

This map shows the geographic impact of Arvind Rajasekaran'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 Arvind Rajasekaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arvind Rajasekaran more than expected).

Fields of papers citing papers by Arvind Rajasekaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arvind Rajasekaran. 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 Arvind Rajasekaran. The network helps show where Arvind Rajasekaran may publish in the future.

Co-authorship network of co-authors of Arvind Rajasekaran

This figure shows the co-authorship network connecting the top 25 collaborators of Arvind Rajasekaran. A scholar is included among the top collaborators of Arvind Rajasekaran 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 Arvind Rajasekaran. Arvind Rajasekaran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026