Sachin Mehta

111 total papers · 1.9k total citations
31 papers, 313 citations indexed

About

Sachin Mehta is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sachin Mehta has authored 31 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sachin Mehta's work include AI in cancer detection (9 papers), Topic Modeling (5 papers) and Digital Imaging for Blood Diseases (5 papers). Sachin Mehta is often cited by papers focused on AI in cancer detection (9 papers), Topic Modeling (5 papers) and Digital Imaging for Blood Diseases (5 papers). Sachin Mehta collaborates with scholars based in United States, India and China. Sachin Mehta's co-authors include Linda G. Shapiro, Joann G. Elmore, Donald L. Weaver, Hannaneh Hajishirzi, Ezgi Mercan, Srinivasan Iyer, Mohammad Rastegari, Marjan Ghazvininejad, Luke Zettlemoyer and Balakrishnan Prabhakaran and has published in prestigious journals such as Circulation Research, Critical Care Medicine and IEEE Access.

In The Last Decade

Sachin Mehta

30 papers receiving 294 citations

Author Peers

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

Author Last Decade Papers Cites
Sachin Mehta 162 133 80 49 26 31 313
Kathy Clawson 93 0.6× 108 0.8× 70 0.9× 40 0.8× 17 0.7× 20 287
Hongfeng Li 120 0.7× 78 0.6× 35 0.4× 71 1.4× 15 0.6× 31 364
Han Zhou 109 0.7× 114 0.9× 96 1.2× 18 0.4× 9 0.3× 36 365
Connah Kendrick 118 0.7× 127 1.0× 27 0.3× 99 2.0× 6 0.2× 17 307
Cristina Nader Vasconcelos 90 0.6× 115 0.9× 18 0.2× 52 1.1× 39 1.5× 27 321
Lin Yang 204 1.3× 102 0.8× 47 0.6× 15 0.3× 4 0.2× 37 361
Simone Bonechi 93 0.6× 116 0.9× 50 0.6× 13 0.3× 16 0.6× 31 306
Kai Han 113 0.7× 166 1.2× 106 1.3× 10 0.2× 12 0.5× 20 332
Kun Lan 117 0.7× 52 0.4× 77 1.0× 9 0.2× 15 0.6× 30 366
Gür Emre Güraksın 81 0.5× 104 0.8× 108 1.4× 18 0.4× 5 0.2× 28 299

Countries citing papers authored by Sachin Mehta

Since Specialization
Citations

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

Fields of papers citing papers by Sachin Mehta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sachin Mehta

This figure shows the co-authorship network connecting the top 25 collaborators of Sachin Mehta. A scholar is included among the top collaborators of Sachin Mehta 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 Sachin Mehta. Sachin Mehta 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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