Nishanth Arun

695 total citations
7 papers, 300 citations indexed

About

Nishanth Arun is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Nishanth Arun has authored 7 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Artificial Intelligence. Recurrent topics in Nishanth Arun's work include COVID-19 diagnosis using AI (3 papers), AI in cancer detection (2 papers) and Network Security and Intrusion Detection (1 paper). Nishanth Arun is often cited by papers focused on COVID-19 diagnosis using AI (3 papers), AI in cancer detection (2 papers) and Network Security and Intrusion Detection (1 paper). Nishanth Arun collaborates with scholars based in United States, India and Brazil. Nishanth Arun's co-authors include Jayashree Kalpathy–Cramer, Ken Chang, Praveer Singh, Matthew Li, Mishka Gidwani, Katharina Hoebel, Nathan Gaw, Mehak Aggarwal, Sharut Gupta and Julius Adebayo and has published in prestigious journals such as Medicine, Investigative Ophthalmology & Visual Science and Journal of the American College of Radiology.

In The Last Decade

Nishanth Arun

5 papers receiving 295 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nishanth Arun United States 4 209 125 79 51 28 7 300
Emi Yamaga Japan 9 225 1.1× 152 1.2× 25 0.3× 46 0.9× 27 1.0× 28 311
Weiya Shi China 8 298 1.4× 131 1.0× 44 0.6× 96 1.9× 50 1.8× 11 344
Hitoshi Mori Japan 9 98 0.5× 135 1.1× 42 0.5× 31 0.6× 35 1.3× 65 449
Ivan A. Blokhin Russia 8 165 0.8× 42 0.3× 44 0.6× 48 0.9× 14 0.5× 44 227
Shravya Shetty United States 7 167 0.8× 69 0.6× 75 0.9× 66 1.3× 24 0.9× 15 276
Michail Mamalakis United Kingdom 9 157 0.8× 70 0.6× 37 0.5× 32 0.6× 55 2.0× 19 245
Jinyu Cong China 7 217 1.0× 144 1.2× 53 0.7× 27 0.5× 11 0.4× 20 310
Tianyang Li China 6 196 0.9× 135 1.1× 53 0.7× 33 0.6× 10 0.4× 16 281

Countries citing papers authored by Nishanth Arun

Since Specialization
Citations

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

Fields of papers citing papers by Nishanth Arun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nishanth Arun

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

All Works

7 of 7 papers shown
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Li, Matthew, Nishanth Arun, Mehak Aggarwal, et al.. (2022). Multi-population generalizability of a deep learning-based chest radiograph severity score for COVID-19. Medicine. 101(29). e29587–e29587. 10 indexed citations
4.
Arun, Nishanth, Nathan Gaw, Praveer Singh, et al.. (2021). Assessing the Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging. Radiology Artificial Intelligence. 3(6). e200267–e200267. 147 indexed citations
5.
Arun, Nishanth, Praveer Singh, Jiali Wang, et al.. (2021). Automated detection of genetic relatedness from fundus photographs using Convolutional Siamese Neural Networks. Investigative Ophthalmology & Visual Science. 62(8). 1034–1034. 1 indexed citations
6.
Li, Matthew, Nishanth Arun, Mishka Gidwani, et al.. (2020). Automated Assessment and Tracking of COVID-19 Pulmonary Disease Severity on Chest Radiographs Using Convolutional Siamese Neural Networks. Radiology Artificial Intelligence. 2(4). e200079–e200079. 105 indexed citations
7.
Chang, Ken, Andrew Beers, Jay Patel, et al.. (2020). Multi-Institutional Assessment and Crowdsourcing Evaluation of Deep Learning for Automated Classification of Breast Density. Journal of the American College of Radiology. 17(12). 1653–1662. 37 indexed citations

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