Svetha Venkatesh
- Computer Vision and Pattern Recognition top 0.1%
- Artificial Intelligence top 0.1%
- Signal Processing top 0.2%
- Computer Networks and Communications top 1%
- Molecular Biology top 10%
- Topics
- Video Analysis and Summarization (65 papers)Advanced Image and Video Retrieval Techniques (47 papers)Anomaly Detection Techniques and Applications (43 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaBioinformatics
- Partner nations
- AustraliaUnited StatesIndia
In The Last Decade
Svetha Venkatesh
465 papers receiving 11.4k citations
Hit Papers
Peers
Comparison fields: 5 of 214
- Computer Vision and Pattern Recognition 4.4k
- Artificial Intelligence 4.2k
- Signal Processing 1.6k
- Computer Networks and Communications 1.2k
- Molecular Biology 959
Countries citing papers authored by Svetha Venkatesh
This map shows the geographic impact of Svetha Venkatesh'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 Svetha Venkatesh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Svetha Venkatesh more than expected).
Fields of papers citing papers by Svetha Venkatesh
This network shows the impact of papers produced by Svetha Venkatesh. 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 Svetha Venkatesh. The network helps show where Svetha Venkatesh may publish in the future.
Co-authorship network of co-authors of Svetha Venkatesh
This figure shows the co-authorship network connecting the top 25 collaborators of Svetha Venkatesh. A scholar is included among the top collaborators of Svetha Venkatesh 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 Svetha Venkatesh. Svetha Venkatesh 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 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 18 | |
| 11 | 24 | |
| 12 | GraphDTA: predicting drug–target binding affinity with graph neural networksbreakdown → | 629 |
| 13 | 11 | |
| 14 | 210 | |
| 15 | 4 | |
| 16 | Learning Parts-based Representations with Nonnegative Restricted Boltzmann Machine | 17 |
| 17 | Multi-modal abnormality detection in video with unknown data segmentation | 3 |
| 18 | Optimal metric selection for improved multi-pose face recognition with group information | 1 |
| 19 | Learning From Ordered Sets and Applications in Collaborative Ranking | 3 |
| 20 | Using selective memory to track concept drift effectively | 5 |
About Svetha Venkatesh
Svetha Venkatesh is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 491 papers that have together received 12.0k indexed citations. Recurring topics across this work include Video Analysis and Summarization (65 papers), Advanced Image and Video Retrieval Techniques (47 papers) and Anomaly Detection Techniques and Applications (43 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.4k citations), Signal Processing (1.6k citations) and Health Informatics (197 citations). Svetha Venkatesh has collaborated with scholars based in Australia, United States and India. Frequent co-authors include Dinh Phung, Truyen Tran, Ba Tu Truong, Santu Rana, Geoff West, Hung Bui, Budhaditya Saha, Thin Nguyen, Sunil Gupta and Wanquan Liu. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Bioinformatics.
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.