Sukalpa Chanda
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Artificial Intelligence top 10%
- Human-Computer Interaction top 10%
- Signal Processing
- Co-authors
- Umapada PalKatrin FrankeSrikanta PalMichael BlumensteinOriol Ramos TerradesFumitaka KimuraTetsushi WakabayashiNabin Sharma
- Topics
- Handwritten Text Recognition Techniques (24 papers)Image Processing and 3D Reconstruction (12 papers)Natural Language Processing Techniques (8 papers)
- Partner nations
- IndiaNorwayUnited States
In The Last Decade
Sukalpa Chanda
30 papers receiving 333 citations
Peers
Comparison fields: 5 of 47
- Computer Vision and Pattern Recognition 299
- Media Technology 104
- Artificial Intelligence 98
- Human-Computer Interaction 34
- Signal Processing 23
Countries citing papers authored by Sukalpa Chanda
This map shows the geographic impact of Sukalpa Chanda'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 Sukalpa Chanda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sukalpa Chanda more than expected).
Fields of papers citing papers by Sukalpa Chanda
This network shows the impact of papers produced by Sukalpa Chanda. 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 Sukalpa Chanda. The network helps show where Sukalpa Chanda may publish in the future.
Co-authorship network of co-authors of Sukalpa Chanda
This figure shows the co-authorship network connecting the top 25 collaborators of Sukalpa Chanda. A scholar is included among the top collaborators of Sukalpa Chanda 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 Sukalpa Chanda. Sukalpa Chanda 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 | 2 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 0 | |
| 11 | 28 | |
| 12 | 20 | |
| 13 | Font identification — In context of an Indic script | 3 |
| 14 | 6 | |
| 15 | 31 | |
| 16 | 4 | |
| 17 | 5 | |
| 18 | 12 | |
| 19 | 32 | |
| 20 | 11 |
About Sukalpa Chanda
Sukalpa Chanda is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Media Technology, having authored 35 papers that have together received 351 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (24 papers), Image Processing and 3D Reconstruction (12 papers) and Natural Language Processing Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (299 citations), Media Technology (104 citations) and Human-Computer Interaction (34 citations). Sukalpa Chanda has collaborated with scholars based in India, Norway and United States. Frequent co-authors include Umapada Pal, Katrin Franke, Srikanta Pal, Michael Blumenstein, Oriol Ramos Terrades, Fumitaka Kimura, Tetsushi Wakabayashi, Nabin Sharma, Alain Rakotomamonjy and Sharib Ali. Their work appears in journals such as IEEE Transactions on Cybernetics, Neurocomputing and Image and Vision Computing.
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.