Umesh Adiga
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Structural Biology top 5%
- Advanced Electron Microscopy Techniques and Applications
Papers in
-
- Cell Image Analysis Techniques 4
- Advanced Fluorescence Microscopy Techniques 2
-
- Medical Image Segmentation Techniques 3
- Co-authors
- Carol A. Barnes (1 shared paper)John F. Guzowski (1 shared paper)Gang Lin (1 shared paper)Badrinath Roysam (1 shared paper)Kathy Olson (1 shared paper)R. Malladi (1 shared paper)Rodrigo Fernández‐González (1 shared paper)Carlos Ortíz-de-Solórzano (1 shared paper)
- Journals
- SLAS DISCOVERY (1 paper)Journal of Structural Biology (1 paper)IEEE Transactions on Biomedical Engineering (1 paper)Image Analysis & Stereology (1 paper)IEEE Transactions on Image Processing (1 paper)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Umesh Adiga
7 papers receiving 329 citations
Peers
Comparison fields: 5 of 69
- Biophysics 195
- Structural Biology 32
- Media Technology 60
- Computer Vision and Pattern Recognition 139
- Aging 7
Countries citing papers authored by Umesh Adiga
This map shows the geographic impact of Umesh Adiga'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 Umesh Adiga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Umesh Adiga more than expected).
Fields of papers citing papers by Umesh Adiga
This network shows the impact of papers produced by Umesh Adiga. 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 Umesh Adiga. The network helps show where Umesh Adiga may publish in the future.
Co-authors
The 25 scholars most cited alongside Umesh Adiga, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 234 | |
| 2 | 2006 | 45 | |
| 3 | 2009 | 28 | |
| 4 | 2005 | 23 | |
| 5 | 2011 | 5 | |
| 6 | 2012 | 2 | |
| 7 | 2019 | 1 | |
| 8 | 2011 | 0 |
About Umesh Adiga
Umesh Adiga is a scholar working on Biophysics, Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology and Structural Biology, having authored 8 papers that have together received 338 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (4 papers), Medical Image Segmentation Techniques (3 papers), AI in cancer detection (3 papers), Electron and X-Ray Spectroscopy Techniques (2 papers), Advanced Electron Microscopy Techniques and Applications (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Integrated Circuits and Semiconductor Failure Analysis (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Biophysics (195 citations), Structural Biology (32 citations), Media Technology (60 citations), Computer Vision and Pattern Recognition (139 citations) and Aging (7 citations). Umesh Adiga has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Carol A. Barnes, John F. Guzowski, Gang Lin, Badrinath Roysam, Kathy Olson, R. Malladi, Rodrigo Fernández‐González, Carlos Ortíz-de-Solórzano, Charles Yang and Esmond Ng. Their work appears in journals such as SLAS DISCOVERY, Journal of Structural Biology, IEEE Transactions on Biomedical Engineering, Image Analysis & Stereology and IEEE Transactions on Image Processing.
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.