Pradipta Kumar Nanda
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- Medical Image Segmentation Techniques 20
- Image Retrieval and Classification Techniques 20
- Advanced Image and Video Retrieval Techniques 14
- Video Surveillance and Tracking Methods 13
- Image Enhancement Techniques 8
- Image and Object Detection Techniques 5
- Media Technology top 5%
- Remote-Sensing Image Classification 15
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- Mobile Ad Hoc Networks 5
Pradipta Kumar Nanda
71 papers receiving 796 citations
Peers
Comparison fields: 5 of 107
- Fluid Flow and Transfer Processes 91
- Computer Vision and Pattern Recognition 219
- Media Technology 63
- Biomedical Engineering 210
- Automotive Engineering 53
Countries citing papers authored by Pradipta Kumar Nanda
This map shows the geographic impact of Pradipta Kumar Nanda'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 Pradipta Kumar Nanda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pradipta Kumar Nanda more than expected).
Fields of papers citing papers by Pradipta Kumar Nanda
This network shows the impact of papers produced by Pradipta Kumar Nanda. 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 Pradipta Kumar Nanda. The network helps show where Pradipta Kumar Nanda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pradipta Kumar Nanda, 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 | 2025 | 8 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 2 | |
| 6 | 2025 | 9 | |
| 7 | 2024 | 0 | |
| 8 | 2021 | 39 | |
| 9 | 2015 | 17 | |
| 10 | Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing | 2012 | 2 |
| 11 | 2011 | 13 | |
| 12 | 2010 | 16 | |
| 13 | 2008 | 2 | |
| 14 | 2008 | 1 | |
| 15 | Moving Object Detection using Compound Markov Random Field Model | 2008 | 1 |
| 16 | 2008 | 3 | |
| 17 | 2007 | 92 | |
| 18 | 2007 | 97 | |
| 19 | Color Image Segmentation Using MRF Model and Simulated Annealing | 2006 | 2 |
| 20 | 2002 | 13 |
About Pradipta Kumar Nanda
Pradipta Kumar Nanda is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Safety, Risk, Reliability and Quality, having authored 80 papers that have together received 849 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (20 papers), Image Retrieval and Classification Techniques (20 papers), Remote-Sensing Image Classification (15 papers), Advanced Image and Video Retrieval Techniques (14 papers), Video Surveillance and Tracking Methods (13 papers), Image Enhancement Techniques (8 papers), Image and Object Detection Techniques (5 papers) and Mobile Ad Hoc Networks (5 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (91 citations), Computer Vision and Pattern Recognition (219 citations) and Media Technology (63 citations). Pradipta Kumar Nanda has collaborated with scholars based in India, Singapore and Australia. Frequent co-authors include S. Panda, Ashish Ghosh, Badri Narayan Subudhi, Priyadarshi Kanungo, Subhamoy Bhattacharya, Anil Kumar Singh, C. Sharma, S Gangopadhyay, Soumyashree Pany and Amtul Nashim. Their work appears in journals such as The Science of The Total Environment, Expert Systems with Applications and IEEE Access.
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.