Sachin Mehta
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Oncology
- Cognitive Neuroscience
- Co-authors
- Linda G. ShapiroJoann G. ElmoreHannaneh HajishirziDonald L. WeaverEzgi MercanMohammad RastegariMarjan GhazvininejadLuke Zettlemoyer
- Topics
- AI in cancer detection (9 papers)Digital Imaging for Blood Diseases (5 papers)Topic Modeling (5 papers)
- Partner nations
- United StatesIndiaIran
In The Last Decade
Sachin Mehta
30 papers receiving 301 citations
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 164
- Computer Vision and Pattern Recognition 136
- Radiology, Nuclear Medicine and Imaging 81
- Oncology 51
- Cognitive Neuroscience 26
Countries citing papers authored by Sachin Mehta
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 32 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 8 | |
| 7 | 23 | |
| 8 | 5 | |
| 9 | 25 | |
| 10 | DeLighT: Very Deep and Light-weight Transformer | 15 |
| 11 | DeFINE: Deep Factorized Input Word Embeddings for Neural Sequence Modeling | 4 |
| 12 | 1 | |
| 13 | 26 | |
| 14 | 5 | |
| 15 | 30 | |
| 16 | 51 | |
| 17 | 9 | |
| 18 | 4 | |
| 19 | 2 | |
| 20 | 1 |
About Sachin Mehta
Sachin Mehta is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biophysics, having authored 32 papers that have together received 320 indexed citations. Recurring topics across this work include AI in cancer detection (9 papers), Digital Imaging for Blood Diseases (5 papers) and Topic Modeling (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (136 citations), Health Informatics (8 citations) and Artificial Intelligence (164 citations). Sachin Mehta has collaborated with scholars based in United States, India and Iran. Frequent co-authors include Linda G. Shapiro, Joann G. Elmore, Hannaneh Hajishirzi, Donald L. Weaver, Ezgi Mercan, Mohammad Rastegari, Marjan Ghazvininejad, Luke Zettlemoyer, Srinivasan Iyer and Stevan R. Knezevich. Their work appears in journals such as Circulation Research, Critical Care Medicine and IEEE Access.
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.