The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Svetha Venkatesh sits on this spectrum.
This scientist: 797 publications — 99th percentile
99% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Svetha Venkatesh sits on this spectrum.
This scientist: 77 D-Index — 91st percentile
91% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Svetha Venkatesh is affiliated with Deakin University in Australia and has a substantial research output primarily in the field of Computer Science. Their main areas of study include Artificial Intelligence, Computer Vision and Pattern Recognition, Management Science and Operations Research, Molecular Biology, and Computational Theory and Mathematics.
Venkatesh has contributed extensively to various research topics, with a focus on Reinforcement Learning in Robotics, Machine Learning and Data Classification, Advanced Bandit Algorithms Research, Gaussian Processes and Bayesian Inference, Domain Adaptation and Few-Shot Learning, Advanced Multi-Objective Optimization Algorithms, and Machine Learning and Algorithms.
The scientist's frequent collaborators include Santu Rana, Sunil Gupta, Truyen Tran, Hung Lê, and Kien Do, with whom they have published numerous works.
Research publications by Svetha Venkatesh have appeared in several prominent venues. The most frequent publication outlets include arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence, Knowledge-Based Systems, bioRxiv (Cold Spring Harbor Laboratory), and Defence Technology.
Key recent papers authored or coauthored by Venkatesh include:
Venkatesh has been recognized as a Fellow of the International Association for Pattern Recognition (IAPR) since 2004, for contributions to the formulation and extraction of semantics in multimedia data.
Dong Gong;Lingqiao Liu;Vuong Le;Budhaditya Saha
Ba Tu Truong;Svetha Venkatesh
Thin Nguyen;Hang Le;Thomas P Quinn;Tri Nguyen
Wei Luo;Dinh Phung;Truyen Tran;Sunil Gupta
T.V. Duong;H.H. Bui;D.Q. Phung;S. Venkatesh
N.T. Nguyen;D.Q. Phung;S. Venkatesh;H. Bui
Trang Pham;Truyen Tran;Dinh Q. Phung;Svetha Venkatesh
Stewart Greenhill;Santu Rana;Sunil Gupta;Pratibha Vellanki
Phuoc Nguyen;Truyen Tran;Nilmini Wickramasinghe;Svetha Venkatesh
Kit Huckvale;Svetha Venkatesh;Helen Christensen
Hung H. Bui;Svetha Venkatesh;Geoff West
Senjian An;Wanquan Liu;Svetha Venkatesh
Trang Pham;Truyen Tran;Dinh Phung;Svetha Venkatesh
Romero Morais;Vuong Le;Truyen Tran;Budhaditya Saha
Duc-Son Pham;S. Venkatesh
Mandyam V. Srinivasan;Javaan S. Chahl;Keven Weber;Svetha Venkatesh
Senjian An;Wanquan Liu;S. Venkatesh
Thin Nguyen;Dinh Phung;Bo Dao;Svetha Venkatesh
Thao Minh Le;Vuong Le;Svetha Venkatesh;Truyen Tran
Truyen Tran;Tu Dinh Nguyen;Dinh Phung;Svetha Venkatesh
Ba Tu Truong;Chitra Dorai;Svetha Venkatesh
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