Swapan Kumar Parui
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 2%
- Artificial Intelligence top 10%
- Human-Computer Interaction top 10%
- Information Systems
- Co-authors
- Ujjwal BhattacharyaAnandarup RoyM. ShridharKripabandhu GhoshPrasenjit MajumderB.B. ChaudhuriAmitava DattaUtpal Roy
- Topics
- Handwritten Text Recognition Techniques (16 papers)Vehicle License Plate Recognition (8 papers)Natural Language Processing Techniques (5 papers)
- Journals
- Information Processing & ManagementDigital Signal ProcessingInternational Journal on Document Analysis and Recognition (IJDAR)
- Partner nations
- IndiaUnited StatesNetherlands
In The Last Decade
Swapan Kumar Parui
25 papers receiving 311 citations
Peers
Comparison fields: 5 of 53
- Computer Vision and Pattern Recognition 296
- Media Technology 179
- Artificial Intelligence 117
- Human-Computer Interaction 51
- Information Systems 20
Countries citing papers authored by Swapan Kumar Parui
This map shows the geographic impact of Swapan Kumar Parui'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 Swapan Kumar Parui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swapan Kumar Parui more than expected).
Fields of papers citing papers by Swapan Kumar Parui
This network shows the impact of papers produced by Swapan Kumar Parui. 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 Swapan Kumar Parui. The network helps show where Swapan Kumar Parui may publish in the future.
Co-authorship network of co-authors of Swapan Kumar Parui
This figure shows the co-authorship network connecting the top 25 collaborators of Swapan Kumar Parui. A scholar is included among the top collaborators of Swapan Kumar Parui 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 Swapan Kumar Parui. Swapan Kumar Parui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 19 | |
| 3 | 13 | |
| 4 | 13 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 13 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 71 | |
| 13 | 47 | |
| 14 | 25 | |
| 15 | 3 | |
| 16 | 10 | |
| 17 | Initiative for Indian Language IR Evaluation | 4 |
| 18 | 4 | |
| 19 | 2 | |
| 20 | 2 |
About Swapan Kumar Parui
Swapan Kumar Parui is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 26 papers that have together received 347 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (16 papers), Vehicle License Plate Recognition (8 papers) and Natural Language Processing Techniques (5 papers). The work is most often cited by research in Media Technology (179 citations), Computer Vision and Pattern Recognition (296 citations) and Human-Computer Interaction (51 citations). Swapan Kumar Parui has collaborated with scholars based in India, United States and Netherlands. Frequent co-authors include Ujjwal Bhattacharya, Anandarup Roy, M. Shridhar, Kripabandhu Ghosh, Prasenjit Majumder, B.B. Chaudhuri, Amitava Datta, Utpal Roy, Tanmoy Kanti Das and Runu Banerjee Roy. Their work appears in journals such as Information Processing & Management, Digital Signal Processing and International Journal on Document Analysis and Recognition (IJDAR).
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.