Kshitiz Garg
Impact in
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- Image Enhancement Techniques
- Advanced Image Processing Techniques
- Advanced Vision and Imaging
- Image and Signal Denoising Methods
- Video Surveillance and Tracking Methods
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- Computer Graphics and Visualization Techniques
Papers in
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- Computer Graphics and Visualization Techniques 4
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- Image Enhancement Techniques 4
- Face and Expression Recognition 1
- Image and Signal Denoising Methods 1
- Co-authors
- Shree K. Nayar (4 shared papers)Meltem Demirkus (2 shared papers)Viswanathan Swaminathan (1 shared paper)Xiang Chen (1 shared paper)Han Guo (1 shared paper)Ryan A. Rossi (1 shared paper)
- Journals
- ACM Transactions on Graphics (1 paper)International Journal of Computer Vision (1 paper)TRECVID (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Kshitiz Garg
7 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 53
- Computer Vision and Pattern Recognition 1.0k
- Computer Graphics and Computer-Aided Design 160
- Media Technology 248
- Safety, Risk, Reliability and Quality 86
- Instrumentation 17
Countries citing papers authored by Kshitiz Garg
This map shows the geographic impact of Kshitiz Garg'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 Kshitiz Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kshitiz Garg more than expected).
Fields of papers citing papers by Kshitiz Garg
This network shows the impact of papers produced by Kshitiz Garg. 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 Kshitiz Garg. The network helps show where Kshitiz Garg may publish in the future.
Co-authors
The 6 scholars most cited alongside Kshitiz Garg, 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 | 2004 | 400 | |
| 2 | 2007 | 352 | |
| 3 | 2005 | 183 | |
| 4 | 2006 | 168 | |
| 5 | 2010 | 51 | |
| 6 | Intuvision Event Detection System FORTRECVID 2008. | 2008 | 3 |
| 7 | 2021 | 3 |
About Kshitiz Garg
Kshitiz Garg is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Atmospheric Science, Signal Processing and Artificial Intelligence, having authored 7 papers that have together received 1.2k indexed citations. Recurring topics across this work include Image Enhancement Techniques (4 papers), Computer Graphics and Visualization Techniques (4 papers), Precipitation Measurement and Analysis (2 papers), Face and Expression Recognition (1 paper), Image and Signal Denoising Methods (1 paper), Anomaly Detection Techniques and Applications (1 paper), Biometric Identification and Security (1 paper) and Complex Network Analysis Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Computer Graphics and Computer-Aided Design (160 citations), Media Technology (248 citations), Safety, Risk, Reliability and Quality (86 citations) and Instrumentation (17 citations). Kshitiz Garg has collaborated with scholars based in United States and Canada. Frequent co-authors include Shree K. Nayar, Meltem Demirkus, Viswanathan Swaminathan, Xiang Chen, Han Guo and Ryan A. Rossi. Their work appears in journals such as ACM Transactions on Graphics, International Journal of Computer Vision, TRECVID and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.