Ayan Das
Impact in
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- Handwritten Text Recognition Techniques
- Image Processing and 3D Reconstruction
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Media Technology top 5%
- Vehicle License Plate Recognition
Papers in
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- Handwritten Text Recognition Techniques 5
- Generative Adversarial Networks and Image Synthesis 1
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- Natural Language Processing Techniques 3
- Artificial Intelligence in Games 2
- Co-authors
- Partha Pratim Roy (5 shared papers)Ayan Kumar Bhunia (4 shared papers)Umapada Pal (4 shared papers)Swagatam Das (1 shared paper)Prasenjit Dey (1 shared paper)Yi-Zhe Song (4 shared papers)Tao Xiang (3 shared papers)Yongxin Yang (2 shared papers)
- Journals
- Journal of Agronomy and Crop Science (1 paper)ACM Transactions on Graphics (1 paper)Pattern Recognition (1 paper)Journal of Applied Physics (1 paper)IEEE Transactions on Image Processing (1 paper)
- Partner nations
- IndiaUnited KingdomChina
In The Last Decade
Ayan Das
13 papers receiving 237 citations
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 141
- Media Technology 57
- Computer Graphics and Computer-Aided Design 21
- Human-Computer Interaction 17
- Artificial Intelligence 81
Countries citing papers authored by Ayan Das
This map shows the geographic impact of Ayan Das'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 Ayan Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayan Das more than expected).
Fields of papers citing papers by Ayan Das
This network shows the impact of papers produced by Ayan Das. 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 Ayan Das. The network helps show where Ayan Das may publish in the future.
Co-authors
The 21 scholars most cited alongside Ayan Das, 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 | 2016 | 69 | |
| 2 | 2017 | 36 | |
| 3 | 2020 | 32 | |
| 4 | 2020 | 23 | |
| 5 | 2021 | 21 | |
| 6 | 2017 | 19 | |
| 7 | 2015 | 14 | |
| 8 | 2009 | 11 | |
| 9 | 2024 | 8 | |
| 10 | 2024 | 5 | |
| 11 | 2015 | 4 | |
| 12 | 2015 | 2 | |
| 13 | 1987 | 1 |
About Ayan Das
Ayan Das is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Computational Mechanics and Soil Science, having authored 13 papers that have together received 245 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (5 papers), Vehicle License Plate Recognition (3 papers), Natural Language Processing Techniques (3 papers), Artificial Intelligence in Games (2 papers), 3D Shape Modeling and Analysis (2 papers), Plant Micronutrient Interactions and Effects (1 paper), Aluminum toxicity and tolerance in plants and animals (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (141 citations), Media Technology (57 citations), Computer Graphics and Computer-Aided Design (21 citations), Human-Computer Interaction (17 citations) and Artificial Intelligence (81 citations). Ayan Das has collaborated with scholars based in India, United Kingdom and China. Frequent co-authors include Partha Pratim Roy, Ayan Kumar Bhunia, Umapada Pal, Swagatam Das, Prasenjit Dey, Yi-Zhe Song, Tao Xiang, Yongxin Yang, Timothy M. Hospedales and Ayan Kumar Bhunia. Their work appears in journals such as Journal of Agronomy and Crop Science, ACM Transactions on Graphics, Pattern Recognition, Journal of Applied Physics and IEEE Transactions on Image Processing.
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.