Ayan Kumar Bhunia
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Computational Mechanics
- Computer Graphics and Computer-Aided Design top 5%
- Media Technology top 10%
- Co-authors
- Yi-Zhe SongTao XiangAneeshan SainPinaki Nath ChowdhuryYongxin YangSubhadeep KoleyJun GuoYifeng Ding
- Topics
- Advanced Image and Video Retrieval Techniques (19 papers)Multimodal Machine Learning Applications (14 papers)Image Retrieval and Classification Techniques (8 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignArtificial Intelligence
- Journals
- IEEE Transactions on Image ProcessingACM Transactions on Graphics2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- Partner nations
- United KingdomChina
In The Last Decade
Ayan Kumar Bhunia
29 papers receiving 948 citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 787
- Artificial Intelligence 293
- Computational Mechanics 63
- Computer Graphics and Computer-Aided Design 55
- Media Technology 53
Countries citing papers authored by Ayan Kumar Bhunia
This map shows the geographic impact of Ayan Kumar Bhunia'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 Kumar Bhunia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayan Kumar Bhunia more than expected).
Fields of papers citing papers by Ayan Kumar Bhunia
This network shows the impact of papers produced by Ayan Kumar Bhunia. 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 Kumar Bhunia. The network helps show where Ayan Kumar Bhunia may publish in the future.
Co-authorship network of co-authors of Ayan Kumar Bhunia
This figure shows the co-authorship network connecting the top 25 collaborators of Ayan Kumar Bhunia. A scholar is included among the top collaborators of Ayan Kumar Bhunia 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 Ayan Kumar Bhunia. Ayan Kumar Bhunia 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 | 12 | |
| 3 | 11 | |
| 4 | 7 | |
| 5 | 4 | |
| 6 | 14 | |
| 7 | 37 | |
| 8 | 10 | |
| 9 | 69 | |
| 10 | 28 | |
| 11 | 17 | |
| 12 | 41 | |
| 13 | 35 | |
| 14 | 19 | |
| 15 | 73 | |
| 16 | 45 | |
| 17 | 40 | |
| 18 | 15 | |
| 19 | 80 | |
| 20 | 21 |
About Ayan Kumar Bhunia
Ayan Kumar Bhunia is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Geology, having authored 30 papers that have together received 970 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (19 papers), Multimodal Machine Learning Applications (14 papers) and Image Retrieval and Classification Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (787 citations), Computer Graphics and Computer-Aided Design (55 citations) and Artificial Intelligence (293 citations). Ayan Kumar Bhunia has collaborated with scholars based in United Kingdom and China. Frequent co-authors include Yi-Zhe Song, Tao Xiang, Aneeshan Sain, Pinaki Nath Chowdhury, Yongxin Yang, Subhadeep Koley, Jun Guo, Yifeng Ding, Jiyang Xie and Zhanyu Ma. Their work appears in journals such as IEEE Transactions on Image Processing, ACM Transactions on Graphics and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.