Niranjan Balachandar

19 total papers · 608 total citations
8 papers, 315 citations indexed

About

Niranjan Balachandar is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Niranjan Balachandar has authored 8 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Niranjan Balachandar's work include COVID-19 diagnosis using AI (3 papers), AI in cancer detection (3 papers) and Retinal Imaging and Analysis (2 papers). Niranjan Balachandar is often cited by papers focused on COVID-19 diagnosis using AI (3 papers), AI in cancer detection (3 papers) and Retinal Imaging and Analysis (2 papers). Niranjan Balachandar collaborates with scholars based in United States and India. Niranjan Balachandar's co-authors include Daniel L. Rubin, Jayashree Kalpathy–Cramer, Ken Chang, Carson Lam, Andrew Beers, Bruce R. Rosen, Darvin Yi, James M. Brown, Liangqiong Qu and Sungwon Lee and has published in prestigious journals such as PLoS ONE, Ophthalmology and IEEE Transactions on Medical Imaging.

In The Last Decade

Niranjan Balachandar

8 papers receiving 311 citations

Author Peers

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

Author Last Decade Papers Cites
Niranjan Balachandar 190 161 77 33 32 8 315
Xin Zhang 166 0.9× 139 0.9× 21 0.3× 17 0.5× 65 2.0× 19 301
Randy Van Ommeren 105 0.6× 105 0.7× 128 1.7× 9 0.3× 26 0.8× 10 357
Vivek Natarajan 200 1.1× 195 1.2× 34 0.4× 10 0.3× 85 2.7× 7 357
Juri Yanase 128 0.7× 110 0.7× 22 0.3× 9 0.3× 52 1.6× 10 302
David Coz 125 0.7× 187 1.2× 82 1.1× 105 3.2× 50 1.6× 5 356
Mohan Bhandari 134 0.7× 130 0.8× 44 0.6× 10 0.3× 77 2.4× 15 353
Yazan Al-Issa 130 0.7× 85 0.5× 12 0.2× 21 0.6× 21 0.7× 13 300
André Carrington 201 1.1× 59 0.4× 97 1.3× 6 0.2× 24 0.8× 7 346
Mehrad Aria 173 0.9× 171 1.1× 36 0.5× 6 0.2× 103 3.2× 14 357
David Dov 150 0.8× 153 1.0× 37 0.5× 43 1.3× 42 1.3× 23 349

Countries citing papers authored by Niranjan Balachandar

Since Specialization
Citations

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

Fields of papers citing papers by Niranjan Balachandar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niranjan Balachandar

This figure shows the co-authorship network connecting the top 25 collaborators of Niranjan Balachandar. A scholar is included among the top collaborators of Niranjan Balachandar 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 Niranjan Balachandar. Niranjan Balachandar 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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2026