Shyamal Buch
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Control and Systems Engineering
- Biomedical Engineering
- Aerospace Engineering
- Co-authors
- Juan Carlos NieblesBernard GhanemVíctor EscorciaChuanqi ShenLi Fei-FeiAdrien GaidonJiajun WuAnimesh Garg
- Topics
- Multimodal Machine Learning Applications (4 papers)Human Pose and Action Recognition (4 papers)Anomaly Detection Techniques and Applications (2 papers)
- Journals
- Transactions of the Association for Computational Linguistics2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology)
- Partner nations
- United StatesSaudi Arabia
In The Last Decade
Shyamal Buch
6 papers receiving 593 citations
Peers
Comparison fields: 5 of 46
- Computer Vision and Pattern Recognition 563
- Artificial Intelligence 281
- Control and Systems Engineering 54
- Biomedical Engineering 36
- Aerospace Engineering 31
Countries citing papers authored by Shyamal Buch
This map shows the geographic impact of Shyamal Buch'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 Shyamal Buch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shyamal Buch more than expected).
Fields of papers citing papers by Shyamal Buch
This network shows the impact of papers produced by Shyamal Buch. 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 Shyamal Buch. The network helps show where Shyamal Buch may publish in the future.
Co-authorship network of co-authors of Shyamal Buch
This figure shows the co-authorship network connecting the top 25 collaborators of Shyamal Buch. A scholar is included among the top collaborators of Shyamal Buch 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 Shyamal Buch. Shyamal Buch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 69 | |
| 2 | 4 | |
| 3 | 94 | |
| 4 | 45 | |
| 5 | 256 | |
| 6 | 135 |
About Shyamal Buch
Shyamal Buch is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering, having authored 6 papers that have together received 603 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (4 papers), Human Pose and Action Recognition (4 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (563 citations), Artificial Intelligence (281 citations) and Human-Computer Interaction (21 citations). Shyamal Buch has collaborated with scholars based in United States and Saudi Arabia. Frequent co-authors include Juan Carlos Niebles, Bernard Ghanem, Víctor Escorcia, Chuanqi Shen, Li Fei-Fei, Adrien Gaidon, Jiajun Wu, Animesh Garg, De-An Huang and Claudia Pérez-D’Arpino. Their work appears in journals such as Transactions of the Association for Computational Linguistics, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology).
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.