Pavan Chakraborty
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Molecular Biology
- Control and Systems Engineering top 10%
- Artificial Intelligence
- Co-authors
- Soumendu ChakrabortySatish Kumar SinghG. C. NandiAnup NandyRashmi TripathiPritish Kumar VaradwajKrishna Pratap SinghVijay Bhaskar Semwal
- Topics
- Gait Recognition and Analysis (10 papers)Face and Expression Recognition (9 papers)Image Retrieval and Classification Techniques (7 papers)
- Partner nations
- IndiaSwitzerlandItaly
In The Last Decade
Pavan Chakraborty
61 papers receiving 820 citations
Peers
Comparison fields: 5 of 124
- Computer Vision and Pattern Recognition 342
- Biomedical Engineering 205
- Molecular Biology 100
- Control and Systems Engineering 95
- Artificial Intelligence 90
Countries citing papers authored by Pavan Chakraborty
This map shows the geographic impact of Pavan Chakraborty'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 Pavan Chakraborty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pavan Chakraborty more than expected).
Fields of papers citing papers by Pavan Chakraborty
This network shows the impact of papers produced by Pavan Chakraborty. 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 Pavan Chakraborty. The network helps show where Pavan Chakraborty may publish in the future.
Co-authorship network of co-authors of Pavan Chakraborty
This figure shows the co-authorship network connecting the top 25 collaborators of Pavan Chakraborty. A scholar is included among the top collaborators of Pavan Chakraborty based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pavan Chakraborty. Pavan Chakraborty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 17 | |
| 8 | 14 | |
| 9 | 34 | |
| 10 | 1 | |
| 11 | 25 | |
| 12 | 46 | |
| 13 | 63 | |
| 14 | 31 | |
| 15 | 6 | |
| 16 | 46 | |
| 17 | 2 | |
| 18 | 23 | |
| 19 | 27 | |
| 20 | A model of the stellar radiation field in the UV | 5 |
About Pavan Chakraborty
Pavan Chakraborty is a scholar working on Computer Vision and Pattern Recognition, Instrumentation and Human-Computer Interaction, having authored 67 papers that have together received 859 indexed citations. Recurring topics across this work include Gait Recognition and Analysis (10 papers), Face and Expression Recognition (9 papers) and Image Retrieval and Classification Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (342 citations), Human-Computer Interaction (75 citations) and Media Technology (55 citations). Pavan Chakraborty has collaborated with scholars based in India, Switzerland and Italy. Frequent co-authors include Soumendu Chakraborty, Satish Kumar Singh, G. C. Nandi, Anup Nandy, Rashmi Tripathi, Pritish Kumar Varadwaj, Krishna Pratap Singh, Vijay Bhaskar Semwal, Rajesh Doriya and R. Vasundhara. Their work appears in journals such as The Astrophysical Journal, IEEE Access and The Astronomical Journal.
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.