Sameer A. Nene
Impact in
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- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Face and Expression Recognition
- Image Retrieval and Classification Techniques
- Video Surveillance and Tracking Methods
- Signal Processing top 5%
- Data Management and Algorithms
Papers in
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- Advanced Vision and Imaging 4
- Advanced Image and Video Retrieval Techniques 4
- Image Retrieval and Classification Techniques 1
- Face and Expression Recognition 1
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- Data Management and Algorithms 2
- Journals
- IEEE Transactions on Robotics and Automation (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings (1 paper)Proceedings - IEEE International Conference on Robotics and Automation/Proceedings (2 papers)International Conference on Computer Vision (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Sameer A. Nene
7 papers receiving 644 citations
Peers
Comparison fields: 5 of 45
- Computer Vision and Pattern Recognition 489
- Signal Processing 67
- Computer Graphics and Computer-Aided Design 19
- Computational Mathematics 2
- Aerospace Engineering 76
Countries citing papers authored by Sameer A. Nene
This map shows the geographic impact of Sameer A. Nene'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 Sameer A. Nene with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sameer A. Nene more than expected).
Fields of papers citing papers by Sameer A. Nene
This network shows the impact of papers produced by Sameer A. Nene. 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 Sameer A. Nene. The network helps show where Sameer A. Nene may publish in the future.
Co-authors
The 2 scholars most cited alongside Sameer A. Nene, 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 | 1997 | 243 | |
| 2 | 1996 | 171 | |
| 3 | 2002 | 108 | |
| 4 | 2002 | 103 | |
| 5 | 2002 | 54 | |
| 6 | 1996 | 15 | |
| 7 | 1994 | 8 |
About Sameer A. Nene
Sameer A. Nene is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Control and Systems Engineering, Aerospace Engineering and Nuclear Energy and Engineering, having authored 7 papers that have together received 702 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Robot Manipulation and Learning (2 papers), Data Management and Algorithms (2 papers), Image Retrieval and Classification Techniques (1 paper), Robotics and Sensor-Based Localization (1 paper) and Face and Expression Recognition (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (489 citations), Signal Processing (67 citations), Computer Graphics and Computer-Aided Design (19 citations), Computational Mathematics (2 citations) and Aerospace Engineering (76 citations). Sameer A. Nene has collaborated with scholars based in United States and Japan. Frequent co-authors include Shree K. Nayar and Hiroshi Murase. Their work appears in journals such as IEEE Transactions on Robotics and Automation, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings, Proceedings - IEEE International Conference on Robotics and Automation/Proceedings and International Conference on Computer Vision.
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.