Nimit S. Sohoni

20 total papers · 929 total citations
6 papers, 473 citations indexed

About

Nimit S. Sohoni is a scholar working on Cardiology and Cardiovascular Medicine, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Nimit S. Sohoni has authored 6 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cardiology and Cardiovascular Medicine, 3 papers in Artificial Intelligence and 2 papers in Biomedical Engineering. Recurrent topics in Nimit S. Sohoni's work include ECG Monitoring and Analysis (3 papers), Machine Learning and Data Classification (3 papers) and Non-Invasive Vital Sign Monitoring (2 papers). Nimit S. Sohoni is often cited by papers focused on ECG Monitoring and Analysis (3 papers), Machine Learning and Data Classification (3 papers) and Non-Invasive Vital Sign Monitoring (2 papers). Nimit S. Sohoni collaborates with scholars based in United States and Canada. Nimit S. Sohoni's co-authors include Avesh Kumar Singh, Geoffrey H. Tison, Jeffrey E. Olgin, Gregory M. Marcus, Mark J. Pletcher, José M. Sánchez, Rachel A. Gladstone, Eric Vittinghoff, Emily S. Lee and Shannon M. Fan and has published in prestigious journals such as JAMA Cardiology, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).

In The Last Decade

Nimit S. Sohoni

6 papers receiving 454 citations

Hit Papers

Passive Detection of Atri... 2018 2026 2020 2023 2018 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Nimit S. Sohoni 283 129 80 37 36 6 473
Avesh Kumar Singh 283 1.0× 129 1.0× 75 0.9× 37 1.0× 36 1.0× 8 510
Mohammed Gaber 213 0.8× 194 1.5× 15 0.2× 51 1.4× 40 1.1× 12 550
Elizabeth H. Dineen 250 0.9× 193 1.5× 14 0.2× 52 1.4× 40 1.1× 14 548
Edward Ramos 74 0.3× 125 1.0× 43 0.5× 64 1.7× 17 0.5× 11 488
Ekanath Rangan 52 0.2× 126 1.0× 92 1.1× 13 0.4× 43 1.2× 18 423
Vik Kheterpal 99 0.3× 119 0.9× 39 0.5× 88 2.4× 14 0.4× 19 510
Allen C. Cheng 208 0.7× 204 1.6× 46 0.6× 33 0.9× 100 2.8× 15 466
Ada Orrico 136 0.5× 92 0.7× 29 0.4× 12 0.3× 53 1.5× 20 513
Arnaldo Mendez 40 0.1× 98 0.8× 98 1.2× 14 0.4× 41 1.1× 7 411
Saad Rehman 77 0.3× 60 0.5× 65 0.8× 22 0.6× 10 0.3× 18 426

Countries citing papers authored by Nimit S. Sohoni

Since Specialization
Citations

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

Fields of papers citing papers by Nimit S. Sohoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nimit S. Sohoni. 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 Nimit S. Sohoni. The network helps show where Nimit S. Sohoni may publish in the future.

Co-authorship network of co-authors of Nimit S. Sohoni

This figure shows the co-authorship network connecting the top 25 collaborators of Nimit S. Sohoni. A scholar is included among the top collaborators of Nimit S. Sohoni 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 Nimit S. Sohoni. Nimit S. Sohoni 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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