Sanjeev J. Koppal
- Computer Vision and Pattern Recognition top 2%
- Instrumentation top 5%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Media Technology top 5%
- Co-authors
- Srinivasa G. NarasimhanHuikai XieShree K. NayarBo SunDingkang WangEakta JainLiang ZhouXiaoyang Zhang
- Topics
- Advanced Optical Sensing Technologies (26 papers)Advanced Vision and Imaging (17 papers)Optical measurement and interference techniques (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image Processing
- Partner nations
- United StatesChinaJapan
In The Last Decade
Sanjeev J. Koppal
60 papers receiving 739 citations
Peers
Comparison fields: 5 of 84
- Computer Vision and Pattern Recognition 411
- Instrumentation 180
- Electrical and Electronic Engineering 178
- Biomedical Engineering 130
- Media Technology 130
Countries citing papers authored by Sanjeev J. Koppal
This map shows the geographic impact of Sanjeev J. Koppal'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 Sanjeev J. Koppal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjeev J. Koppal more than expected).
Fields of papers citing papers by Sanjeev J. Koppal
This network shows the impact of papers produced by Sanjeev J. Koppal. 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 Sanjeev J. Koppal. The network helps show where Sanjeev J. Koppal may publish in the future.
Co-authorship network of co-authors of Sanjeev J. Koppal
This figure shows the co-authorship network connecting the top 25 collaborators of Sanjeev J. Koppal. A scholar is included among the top collaborators of Sanjeev J. Koppal 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 Sanjeev J. Koppal. Sanjeev J. Koppal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 6 | |
| 6 | 32 | |
| 7 | 12 | |
| 8 | A MEMS-based Foveating LIDAR to enable Real-time Adaptive Depth Sensing | 2 |
| 9 | 32 | |
| 10 | 2 | |
| 11 | 14 | |
| 12 | 16 | |
| 13 | 2 | |
| 14 | 5 | |
| 15 | 5 | |
| 16 | 5 | |
| 17 | 4 | |
| 18 | 18 | |
| 19 | A viewer-centric editor for stereoscopic camera | 3 |
| 20 | 37 |
About Sanjeev J. Koppal
Sanjeev J. Koppal is a scholar working on Instrumentation, Acoustics and Ultrasonics and Computer Graphics and Computer-Aided Design, having authored 65 papers that have together received 767 indexed citations. Recurring topics across this work include Advanced Optical Sensing Technologies (26 papers), Advanced Vision and Imaging (17 papers) and Optical measurement and interference techniques (13 papers). The work is most often cited by research in Instrumentation (180 citations), Acoustics and Ultrasonics (30 citations) and Computer Graphics and Computer-Aided Design (71 citations). Sanjeev J. Koppal has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Srinivasa G. Narasimhan, Huikai Xie, Shree K. Nayar, Bo Sun, Dingkang Wang, Eakta Jain, Liang Zhou, Xiaoyang Zhang, Sing Bing Kang and S. Yamazaki. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence 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.