Anirban Roy
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Media Technology top 5%
- Aerospace Engineering
- Information Systems
- Co-authors
- Siniša TodorovićSusmit JhaOleg SokolskyInsup LeeAmit SasturkarAnandarup MukherjeeHema Swetha KoppulaSachin Garg
- Topics
- Adversarial Robustness in Machine Learning (10 papers)Domain Adaptation and Few-Shot Learning (6 papers)Advanced Neural Network Applications (5 papers)
- Journals
- Electronics LettersInternational Journal of Advanced Computer Science and ApplicationsProceedings of the Thirty-First International Joint Conference on Artificial Intelligence
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Anirban Roy
23 papers receiving 367 citations
Peers
Comparison fields: 5 of 45
- Computer Vision and Pattern Recognition 290
- Artificial Intelligence 110
- Media Technology 109
- Aerospace Engineering 46
- Information Systems 25
Countries citing papers authored by Anirban Roy
This map shows the geographic impact of Anirban 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 Anirban Roy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anirban Roy more than expected).
Fields of papers citing papers by Anirban Roy
This network shows the impact of papers produced by Anirban 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 Anirban Roy. The network helps show where Anirban Roy may publish in the future.
Co-authorship network of co-authors of Anirban Roy
This figure shows the co-authorship network connecting the top 25 collaborators of Anirban Roy. A scholar is included among the top collaborators of Anirban 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 Anirban Roy. Anirban 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 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | 2 | |
| 8 | 9 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 7 | |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 69 | |
| 17 | 202 | |
| 18 | 7 | |
| 19 | 19 | |
| 20 | 4 |
About Anirban Roy
Anirban Roy is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 24 papers that have together received 380 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (10 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Advanced Neural Network Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (290 citations), Media Technology (109 citations) and Artificial Intelligence (110 citations). Anirban Roy has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Siniša Todorović, Susmit Jha, Oleg Sokolsky, Insup Lee, Amit Sasturkar, Anandarup Mukherjee, Hema Swetha Koppula, Sachin Garg, Sangdon Park and Edgar Dobriban. Their work appears in journals such as Electronics Letters, International Journal of Advanced Computer Science and Applications and Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
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.