Prem Kalra
Impact in
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- Face recognition and analysis
- Advanced Vision and Imaging
Papers in
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- Advanced Vision and Imaging 17
- Image and Signal Denoising Methods 13
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- Neural Networks and Applications 34
- Co-authors
- Nadia Magnenat‐Thalmann (16 shared papers)D. K. Chaturvedi (13 shared papers)Daniël Thalmann (7 shared papers)P.S. Satsangi (4 shared papers)Ram Narayan Yadav (10 shared papers)Angelo Mangili (2 shared papers)Jisha John (4 shared papers)K. Madhava Krishna (5 shared papers)
- Journals
- Soft Computing (8 papers)Electric Power Systems Research (6 papers)Computer Graphics Forum (4 papers)Applied Soft Computing (4 papers)World Neurosurgery (3 papers)
- Partner nations
- IndiaSwitzerlandUnited States
In The Last Decade
Prem Kalra
169 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 155
- Computer Vision and Pattern Recognition 1.1k
- Computer Graphics and Computer-Aided Design 159
- Control and Systems Engineering 839
- Human-Computer Interaction 116
- Signal Processing 206
Countries citing papers authored by Prem Kalra
This map shows the geographic impact of Prem Kalra'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 Prem Kalra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prem Kalra more than expected).
Fields of papers citing papers by Prem Kalra
This network shows the impact of papers produced by Prem Kalra. 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 Prem Kalra. The network helps show where Prem Kalra may publish in the future.
Co-authors
The 25 scholars most cited alongside Prem Kalra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 182 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 197 | |
| 2 | 1999 | 192 | |
| 3 | 2006 | 165 | |
| 4 | 2007 | 138 | |
| 5 | 2002 | 124 | |
| 6 | 1998 | 84 | |
| 7 | 1998 | 79 | |
| 8 | 1999 | 78 | |
| 9 | 1995 | 69 | |
| 10 | 2010 | 68 | |
| 11 | 2010 | 60 | |
| 12 | 1999 | 60 | |
| 13 | 2011 | 48 | |
| 14 | 2015 | 44 | |
| 15 | 2010 | 42 | |
| 16 | 1998 | 41 | |
| 17 | 2004 | 38 | |
| 18 | 2019 | 37 | |
| 19 | MODEL BASED FACE RECONSTRUCTION FOR ANIMATION | 1999 | 35 |
| 20 | 2001 | 32 |
About Prem Kalra
Prem Kalra is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Electrical and Electronic Engineering and Signal Processing, having authored 182 papers that have together received 2.9k indexed citations. Recurring topics across this work include Neural Networks and Applications (34 papers), 3D Shape Modeling and Analysis (18 papers), Advanced Vision and Imaging (17 papers), Computer Graphics and Visualization Techniques (16 papers), Power System Optimization and Stability (14 papers), Image and Signal Denoising Methods (13 papers), Blind Source Separation Techniques (12 papers) and Human Motion and Animation (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Computer Graphics and Computer-Aided Design (159 citations), Control and Systems Engineering (839 citations), Human-Computer Interaction (116 citations) and Signal Processing (206 citations). Prem Kalra has collaborated with scholars based in India, Switzerland and United States. Frequent co-authors include Nadia Magnenat‐Thalmann, D. K. Chaturvedi, Daniël Thalmann, P.S. Satsangi, Ram Narayan Yadav, Angelo Mangili, Jisha John, K. Madhava Krishna, Subhashis Banerjee and Bipin Kumar Tripathi. Their work appears in journals such as Soft Computing, Electric Power Systems Research, Computer Graphics Forum, Applied Soft Computing and World Neurosurgery.
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.