Jay Yagnik
Impact in
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- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Video Analysis and Summarization
- Video Surveillance and Tracking Methods
- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
- Signal Processing top 5%
Papers in
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- Advanced Image and Video Retrieval Techniques 9
- Video Analysis and Summarization 5
- Video Surveillance and Tracking Methods 4
- Advanced Vision and Imaging 2
- Optical measurement and interference techniques 2
- Image Retrieval and Classification Techniques 2
- Face and Expression Recognition 2
- Co-authors
- Shumeet BalujaShankar KumarD. SivakumarDeepak RavichandranYushi JingMohamed AlyRuei-Sung LinDavid A. Ross
- Journals
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (1 paper)National University of Singapore (1 paper)
- Partner nations
- United StatesIndiaSingapore
In The Last Decade
Jay Yagnik
17 papers receiving 932 citations
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 705
- Signal Processing 116
- Artificial Intelligence 329
- Information Systems 219
- Statistical and Nonlinear Physics 59
Countries citing papers authored by Jay Yagnik
This map shows the geographic impact of Jay Yagnik'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 Jay Yagnik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Yagnik more than expected).
Fields of papers citing papers by Jay Yagnik
This network shows the impact of papers produced by Jay Yagnik. 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 Jay Yagnik. The network helps show where Jay Yagnik may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay Yagnik, 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 | 2013 | 201 | |
| 2 | 2013 | 73 | |
| 3 | Fast, Accurate Detection of 100,000 Object Classes on a Single Machine: Technical Supplement | 2013 | 1 |
| 4 | 2011 | 73 | |
| 5 | 2010 | 53 | |
| 6 | 2010 | 32 | |
| 7 | 2010 | 66 | |
| 8 | 2009 | 42 | |
| 9 | 2009 | 4 | |
| 10 | 2009 | 70 | |
| 11 | 2008 | 296 | |
| 12 | 2008 | 7 | |
| 13 | 2008 | 34 | |
| 14 | 2007 | 21 | |
| 15 | 2006 | 1 | |
| 16 | 2006 | 2 | |
| 17 | 2005 | 5 |
About Jay Yagnik
Jay Yagnik is a scholar working on Computer Vision and Pattern Recognition, Geography, Planning and Development, Hardware and Architecture, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 17 papers that have together received 981 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (9 papers), Video Analysis and Summarization (5 papers), Video Surveillance and Tracking Methods (4 papers), Text and Document Classification Technologies (2 papers), Advanced Vision and Imaging (2 papers), Optical measurement and interference techniques (2 papers), Image Retrieval and Classification Techniques (2 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (705 citations), Signal Processing (116 citations), Artificial Intelligence (329 citations), Information Systems (219 citations) and Statistical and Nonlinear Physics (59 citations). Jay Yagnik has collaborated with scholars based in United States, India and Singapore. Frequent co-authors include Shumeet Baluja, Shankar Kumar, D. Sivakumar, Deepak Ravichandran, Yushi Jing, Mohamed Aly, Ruei-Sung Lin, David A. Ross, Jonathon Shlens and Mark A. Ruzon. Their work appears in journals such as Infoscience (Ecole Polytechnique Fédérale de Lausanne) and National University of Singapore.
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.