Svetha Venkatesh
-
- Video Analysis and Summarization 65
- Advanced Image and Video Retrieval Techniques 47
- Video Surveillance and Tracking Methods 38
- Face and Expression Recognition 33
- Image Retrieval and Classification Techniques 32
- Advanced Vision and Imaging 25
- Signal Processing top 0.2%
- Music and Audio Processing 35
- Health Informatics top 0.5%
- Artificial Intelligence top 0.1%
- Anomaly Detection Techniques and Applications 43
- Health Information Management top 0.2%
- Journals
- Knowledge and Information Systems (12 papers)Pattern Recognition (12 papers)Knowledge-Based Systems (8 papers)
- 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
- Signal Processing 1.6k
- Health Informatics 197
- Artificial Intelligence 4.2k
- Health Information Management 494
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
The 25 scholars most cited alongside Svetha Venkatesh, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 5 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 1 | |
| 10 | 2022 | 18 | |
| 11 | 2021 | 24 | |
| 12 | GraphDTA: predicting drug–target binding affinity with graph neural networksbreakdown → | 2020 | 629 |
| 13 | 2020 | 11 | |
| 14 | 2019 | 210 | |
| 15 | 2016 | 4 | |
| 16 | Learning Parts-based Representations with Nonnegative Restricted Boltzmann Machine | 2013 | 17 |
| 17 | Multi-modal abnormality detection in video with unknown data segmentation | 2012 | 3 |
| 18 | Optimal metric selection for improved multi-pose face recognition with group information | 2012 | 1 |
| 19 | Learning From Ordered Sets and Applications in Collaborative Ranking | 2012 | 3 |
| 20 | Using selective memory to track concept drift effectively | 2003 | 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), Anomaly Detection Techniques and Applications (43 papers), Video Surveillance and Tracking Methods (38 papers), Music and Audio Processing (35 papers), Face and Expression Recognition (33 papers), Image Retrieval and Classification Techniques (32 papers) and Advanced Vision and Imaging (25 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 Knowledge and Information Systems, Pattern Recognition, Knowledge-Based Systems, IEEE Journal of Biomedical and Health Informatics and Pervasive and Mobile Computing.
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.