Vivek Pradeep
Impact in
- Human-Computer Interaction top 5%
- Gaze Tracking and Assistive Technology
- Interactive and Immersive Displays
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- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
Papers in
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- Advanced Vision and Imaging 6
- Optical measurement and interference techniques 2
- Advanced Image and Video Retrieval Techniques 2
- Image Enhancement Techniques 1
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- Robotics and Sensor-Based Localization 6
- Co-authors
- James D. Weiland (3 shared papers)Gérard Medioni (2 shared papers)Christoph Rhemann (2 shared papers)Christopher Zach (2 shared papers)Shahram Izadi (2 shared papers)Michael Bleyer (1 shared paper)Jongwoo Lim (2 shared papers)Gérard Medioni (1 shared paper)
- Journals
- International Journal of Computer Vision (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)2009 IEEE Conference on Computer Vision and Pattern Recognition (1 paper)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Vivek Pradeep
8 papers receiving 269 citations
Peers
Comparison fields: 5 of 35
- Human-Computer Interaction 61
- Computer Vision and Pattern Recognition 184
- Geology 41
- Aerospace Engineering 160
- Cognitive Neuroscience 103
Countries citing papers authored by Vivek Pradeep
This map shows the geographic impact of Vivek Pradeep'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 Vivek Pradeep with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vivek Pradeep more than expected).
Fields of papers citing papers by Vivek Pradeep
This network shows the impact of papers produced by Vivek Pradeep. 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 Vivek Pradeep. The network helps show where Vivek Pradeep may publish in the future.
Co-authors
The 16 scholars most cited alongside Vivek Pradeep, 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 | 2010 | 93 | |
| 2 | 2013 | 90 | |
| 3 | Piecewise Planar Modeling for Step Detection using Stereo Vision | 2008 | 30 |
| 4 | 2014 | 22 | |
| 5 | 2009 | 20 | |
| 6 | 2011 | 11 | |
| 7 | 2010 | 7 | |
| 8 | 2021 | 4 |
About Vivek Pradeep
Vivek Pradeep is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Cognitive Neuroscience, Human-Computer Interaction and Infectious Diseases, having authored 8 papers that have together received 277 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (6 papers), Robotics and Sensor-Based Localization (6 papers), Tactile and Sensory Interactions (3 papers), Optical measurement and interference techniques (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Interactive and Immersive Displays (1 paper), Image Enhancement Techniques (1 paper) and Hand Gesture Recognition Systems (1 paper). The work is most often cited by research in Human-Computer Interaction (61 citations), Computer Vision and Pattern Recognition (184 citations), Geology (41 citations), Aerospace Engineering (160 citations) and Cognitive Neuroscience (103 citations). Vivek Pradeep has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include James D. Weiland, Gérard Medioni, Christoph Rhemann, Christopher Zach, Shahram Izadi, Michael Bleyer, Jongwoo Lim, Gérard Medioni, Sean Fanello and Jakub Dostál. Their work appears in journals such as International Journal of Computer Vision, HAL (Le Centre pour la Communication Scientifique Directe) and 2009 IEEE Conference on Computer Vision and Pattern Recognition.
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.