Arun Venkatraman
- Control and Systems Engineering top 10%
- Artificial Intelligence top 10%
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience
- Biomedical Engineering
- Co-authors
- J. Andrew BagnellMartial HebertJean‐Sebastien ValoisJeffrey M. WeissAndrew B. SchwartzJennifer L. CollingerJohn E. DowneyMoslem Kazemi
- Topics
- Machine Learning and Algorithms (4 papers)Gaussian Processes and Bayesian Inference (4 papers)Neuroscience and Neural Engineering (3 papers)
- Journals
- Journal of NeuroEngineering and RehabilitationAutonomous RobotsarXiv (Cornell University)
- Partner nations
- United States
In The Last Decade
Arun Venkatraman
12 papers receiving 373 citations
Peers
Comparison fields: 5 of 66
- Control and Systems Engineering 133
- Artificial Intelligence 122
- Cognitive Neuroscience 112
- Cellular and Molecular Neuroscience 81
- Biomedical Engineering 70
Countries citing papers authored by Arun Venkatraman
This map shows the geographic impact of Arun Venkatraman'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 Arun Venkatraman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arun Venkatraman more than expected).
Fields of papers citing papers by Arun Venkatraman
This network shows the impact of papers produced by Arun Venkatraman. 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 Arun Venkatraman. The network helps show where Arun Venkatraman may publish in the future.
Co-authorship network of co-authors of Arun Venkatraman
This figure shows the co-authorship network connecting the top 25 collaborators of Arun Venkatraman. A scholar is included among the top collaborators of Arun Venkatraman 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 Arun Venkatraman. Arun Venkatraman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 67 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 32 | |
| 6 | Learning to filter with predictive state inference machines | 8 |
| 7 | 74 | |
| 8 | 4 | |
| 9 | 30 | |
| 10 | 93 | |
| 11 | 52 | |
| 12 | 25 |
About Arun Venkatraman
Arun Venkatraman is a scholar working on Human-Computer Interaction, Artificial Intelligence and Management Science and Operations Research, having authored 12 papers that have together received 388 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (4 papers), Gaussian Processes and Bayesian Inference (4 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Human-Computer Interaction (61 citations), Cognitive Neuroscience (112 citations) and Control and Systems Engineering (133 citations). Arun Venkatraman has collaborated with scholars based in United States. Frequent co-authors include J. Andrew Bagnell, Martial Hebert, Jean‐Sebastien Valois, Jeffrey M. Weiss, Andrew B. Schwartz, Jennifer L. Collinger, John E. Downey, Moslem Kazemi, Dov Katz and Katharina Muelling. Their work appears in journals such as Journal of NeuroEngineering and Rehabilitation, Autonomous Robots and arXiv (Cornell University).
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.