Partha Pratim Roy
- Computer Vision and Pattern Recognition top 0.5%
- Human-Computer Interaction top 0.1%
- Cognitive Neuroscience top 2%
- Artificial Intelligence top 1%
- Media Technology top 0.5%
- Co-authors
- Debi Prosad DograPradeep KumarRajkumar SainiUmapada PalByung‐Gyu KimBalasubramanian RamanDebashis Das ChakladarAyan Kumar Bhunia
- Topics
- Handwritten Text Recognition Techniques (91 papers)Image Retrieval and Classification Techniques (42 papers)EEG and Brain-Computer Interfaces (39 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaScientific Reports
- Partner nations
- IndiaSouth KoreaJapan
In The Last Decade
Partha Pratim Roy
224 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 171
- Computer Vision and Pattern Recognition 2.3k
- Human-Computer Interaction 1.2k
- Cognitive Neuroscience 1.1k
- Artificial Intelligence 993
- Media Technology 623
Countries citing papers authored by Partha Pratim Roy
This map shows the geographic impact of Partha Pratim Roy'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 Partha Pratim Roy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Partha Pratim Roy more than expected).
Fields of papers citing papers by Partha Pratim Roy
This network shows the impact of papers produced by Partha Pratim Roy. 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 Partha Pratim Roy. The network helps show where Partha Pratim Roy may publish in the future.
Co-authorship network of co-authors of Partha Pratim Roy
This figure shows the co-authorship network connecting the top 25 collaborators of Partha Pratim Roy. A scholar is included among the top collaborators of Partha Pratim Roy 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 Partha Pratim Roy. Partha Pratim Roy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 20 | |
| 4 | 19 | |
| 5 | 45 | |
| 6 | 39 | |
| 7 | 41 | |
| 8 | 29 | |
| 9 | 72 | |
| 10 | 15 | |
| 11 | 19 | |
| 12 | 14 | |
| 13 | 67 | |
| 14 | 16 | |
| 15 | 20 | |
| 16 | 24 | |
| 17 | 147 | |
| 18 | 20 | |
| 19 | 28 | |
| 20 | 161 |
About Partha Pratim Roy
Partha Pratim Roy is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Media Technology, having authored 233 papers that have together received 5.0k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (91 papers), Image Retrieval and Classification Techniques (42 papers) and EEG and Brain-Computer Interfaces (39 papers). The work is most often cited by research in Human-Computer Interaction (1.2k citations), Computer Vision and Pattern Recognition (2.3k citations) and Media Technology (623 citations). Partha Pratim Roy has collaborated with scholars based in India, South Korea and Japan. Frequent co-authors include Debi Prosad Dogra, Pradeep Kumar, Rajkumar Saini, Umapada Pal, Byung‐Gyu Kim, Balasubramanian Raman, Debashis Das Chakladar, Ayan Kumar Bhunia, Sudhanshu Kumar and Barjinder Kaur. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Scientific Reports.
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.