Srikumar Sastry
Impact in
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- Face and Expression Recognition
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
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- Remote-Sensing Image Classification
Papers in
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- Image Retrieval and Classification Techniques 3
- Ecology 2
- Co-authors
- Renè Vidal (1 shared paper)Yi Ma (1 shared paper)Nathan Jacobs (9 shared papers)Adeel Ahmad (3 shared papers)Hannah Kerner (1 shared paper)Di Huang (1 shared paper)Xin Xing (1 shared paper)Rodrigo Siqueira Reis (1 shared paper)
- Journals
- Kuwait Journal of Science (1 paper)Journal of Public Health (1 paper)CERN Document Server (European Organization for Nuclear Research) (1 paper)
- Partner nations
- United StatesIndiaBelgium
In The Last Decade
Srikumar Sastry
11 papers receiving 200 citations
Peers
Comparison fields: 5 of 97
- Computer Vision and Pattern Recognition 74
- Media Technology 24
- Signal Processing 27
- Computational Mathematics 1
- Computational Mechanics 32
Countries citing papers authored by Srikumar Sastry
This map shows the geographic impact of Srikumar Sastry'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 Srikumar Sastry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Srikumar Sastry more than expected).
Fields of papers citing papers by Srikumar Sastry
This network shows the impact of papers produced by Srikumar Sastry. 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 Srikumar Sastry. The network helps show where Srikumar Sastry may publish in the future.
Co-authors
The 14 scholars most cited alongside Srikumar Sastry, 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 | 2016 | 174 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 3 | |
| 6 | 2025 | 2 | |
| 7 | 2024 | 2 | |
| 8 | 2025 | 2 | |
| 9 | 2024 | 1 | |
| 10 | 2020 | 1 | |
| 11 | 2020 | 1 | |
| 12 | 2024 | 0 | |
| 13 | 2025 | 0 |
About Srikumar Sastry
Srikumar Sastry is a scholar working on Computer Vision and Pattern Recognition, Ecology, Signal Processing, Artificial Intelligence and Media Technology, having authored 13 papers that have together received 203 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (3 papers), Music and Audio Processing (2 papers), Species Distribution and Climate Change (1 paper), Speech and Audio Processing (1 paper), Lexicography and Language Studies (1 paper), Natural Language Processing Techniques (1 paper), Remote-Sensing Image Classification (1 paper) and Remote Sensing and Land Use (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (74 citations), Media Technology (24 citations), Signal Processing (27 citations), Computational Mathematics (1 citation) and Computational Mechanics (32 citations). Srikumar Sastry has collaborated with scholars based in United States, India and Belgium. Frequent co-authors include Renè Vidal, Yi Ma, Nathan Jacobs, Adeel Ahmad, Adeel Ahmad, Hannah Kerner, Di Huang, Xin Xing, Rodrigo Siqueira Reis and Abby Stylianou. Their work appears in journals such as Kuwait Journal of Science, Journal of Public Health and CERN Document Server (European Organization for Nuclear Research).
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.