Arindam Kar
Impact in
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- Venous Thromboembolism Diagnosis and Management
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- Face and Expression Recognition
- Face recognition and analysis
- Image Retrieval and Classification Techniques
- Medical Image Segmentation Techniques
Papers in
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- Face recognition and analysis 4
- Face and Expression Recognition 4
- Advanced Image and Video Retrieval Techniques 2
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- Acute Ischemic Stroke Management 4
- Co-authors
- Dipender Gill (5 shared papers)Roland Veltkamp (4 shared papers)Debotosh Bhattacharjee (4 shared papers)Joe Devine (1 shared paper)Albert Power (1 shared paper)Daniel Epstein (1 shared paper)Raj Bathula (1 shared paper)Peter Wilding (2 shared papers)
- Journals
- Journal of Stroke and Cerebrovascular Diseases (6 papers)Applied Intelligence (1 paper)Expert Systems with Applications (1 paper)Multimedia Tools and Applications (1 paper)IEEE Transactions on Information Forensics and Security (1 paper)
- Partner nations
- United KingdomIndiaUnited States
In The Last Decade
Arindam Kar
19 papers receiving 223 citations
Peers
Comparison fields: 5 of 63
- Internal Medicine 15
- Computer Vision and Pattern Recognition 64
- Epidemiology 57
- Signal Processing 19
- Nephrology 11
Countries citing papers authored by Arindam Kar
This map shows the geographic impact of Arindam Kar'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 Arindam Kar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arindam Kar more than expected).
Fields of papers citing papers by Arindam Kar
This network shows the impact of papers produced by Arindam Kar. 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 Arindam Kar. The network helps show where Arindam Kar may publish in the future.
Co-authors
The 25 scholars most cited alongside Arindam Kar, 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 | 41 | |
| 2 | 2011 | 29 | |
| 3 | 2019 | 25 | |
| 4 | 2020 | 21 | |
| 5 | 2020 | 18 | |
| 6 | 2016 | 16 | |
| 7 | 2016 | 16 | |
| 8 | 2019 | 11 | |
| 9 | 2016 | 11 | |
| 10 | 2016 | 9 | |
| 11 | 2011 | 9 | |
| 12 | 2013 | 8 | |
| 13 | 2017 | 5 | |
| 14 | 2020 | 5 | |
| 15 | Classification of high-energized Gabor responses using Bayesian PCA for Human Face Recognition | 2013 | 4 |
| 16 | 2020 | 3 | |
| 17 | 2021 | 2 | |
| 18 | 2022 | 1 | |
| 19 | 2015 | 1 |
About Arindam Kar
Arindam Kar is a scholar working on Computer Vision and Pattern Recognition, Epidemiology, Neurology, Infectious Diseases and Critical Care and Intensive Care Medicine, having authored 19 papers that have together received 235 indexed citations. Recurring topics across this work include Face recognition and analysis (4 papers), Face and Expression Recognition (4 papers), Acute Ischemic Stroke Management (4 papers), COVID-19 Clinical Research Studies (2 papers), Long-Term Effects of COVID-19 (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Hermeneutics and Narrative Identity (1 paper) and Infection Control and Ventilation (1 paper). The work is most often cited by research in Internal Medicine (15 citations), Computer Vision and Pattern Recognition (64 citations), Epidemiology (57 citations), Signal Processing (19 citations) and Nephrology (11 citations). Arindam Kar has collaborated with scholars based in United Kingdom, India and United States. Frequent co-authors include Dipender Gill, Roland Veltkamp, Debotosh Bhattacharjee, Joe Devine, Albert Power, Daniel Epstein, Raj Bathula, Peter Wilding, David Taube and David Cohen. Their work appears in journals such as Journal of Stroke and Cerebrovascular Diseases, Applied Intelligence, Expert Systems with Applications, Multimedia Tools and Applications and IEEE Transactions on Information Forensics and Security.
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.