Subramanian Ramamoorthy

2.2k total citations
104 papers, 906 citations indexed

About

Subramanian Ramamoorthy is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Subramanian Ramamoorthy has authored 104 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Artificial Intelligence, 31 papers in Computer Vision and Pattern Recognition and 25 papers in Control and Systems Engineering. Recurrent topics in Subramanian Ramamoorthy's work include Reinforcement Learning in Robotics (36 papers), Robot Manipulation and Learning (17 papers) and Human Pose and Action Recognition (11 papers). Subramanian Ramamoorthy is often cited by papers focused on Reinforcement Learning in Robotics (36 papers), Robot Manipulation and Learning (17 papers) and Human Pose and Action Recognition (11 papers). Subramanian Ramamoorthy collaborates with scholars based in United Kingdom, United States and Australia. Subramanian Ramamoorthy's co-authors include Benjamin Rosman, Stefano V. Albrecht, Benjamin Kuipers, Florian T. Pokorny, Andy Clark, Jacob W. Crandall, Karl Friston, Katrin S. Lohan, Ronald P. A. Petrick and Èric Pairet and has published in prestigious journals such as Communications of the ACM, Optics Express and Expert Systems with Applications.

In The Last Decade

Subramanian Ramamoorthy

96 papers receiving 847 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Subramanian Ramamoorthy United Kingdom 17 359 254 233 118 91 104 906
Kaoru Hirota Japan 16 272 0.8× 328 1.3× 79 0.3× 58 0.5× 59 0.6× 76 827
Donald Sofge United States 13 444 1.2× 200 0.8× 383 1.6× 75 0.6× 75 0.8× 82 1.2k
Anssi Kanervisto Finland 7 349 1.0× 190 0.7× 218 0.9× 70 0.6× 37 0.4× 9 869
Tomoyuki Hiroyasu Japan 18 310 0.9× 152 0.6× 62 0.3× 55 0.5× 36 0.4× 162 1.1k
Lilian Weng United States 5 601 1.7× 231 0.9× 584 2.5× 281 2.4× 46 0.5× 9 1.4k
Sin-Chun Ng Hong Kong 16 461 1.3× 152 0.6× 161 0.7× 75 0.6× 108 1.2× 96 1.0k
Richard J. Duro Spain 18 468 1.3× 217 0.9× 182 0.8× 138 1.2× 19 0.2× 152 1.1k
Guanzheng Tan China 15 344 1.0× 309 1.2× 177 0.8× 72 0.6× 17 0.2× 87 952
Eduardo F. Morales Mexico 18 607 1.7× 491 1.9× 92 0.4× 52 0.4× 35 0.4× 89 1.2k
A. Meystel United States 14 432 1.2× 289 1.1× 293 1.3× 45 0.4× 37 0.4× 99 913

Countries citing papers authored by Subramanian Ramamoorthy

Since Specialization
Citations

This map shows the geographic impact of Subramanian Ramamoorthy'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 Subramanian Ramamoorthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subramanian Ramamoorthy more than expected).

Fields of papers citing papers by Subramanian Ramamoorthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Subramanian Ramamoorthy. 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 Subramanian Ramamoorthy. The network helps show where Subramanian Ramamoorthy may publish in the future.

Co-authorship network of co-authors of Subramanian Ramamoorthy

This figure shows the co-authorship network connecting the top 25 collaborators of Subramanian Ramamoorthy. A scholar is included among the top collaborators of Subramanian Ramamoorthy 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 Subramanian Ramamoorthy. Subramanian Ramamoorthy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ramamoorthy, Subramanian, et al.. (2024). Achieving Dexterous Bidirectional Interaction in Uncertain Conditions for Medical Robotics. IEEE Transactions on Medical Robotics and Bionics. 7(1). 43–50.
2.
Burke, Michael, et al.. (2023). Learning rewards from exploratory demonstrations using probabilistic temporal ranking. Autonomous Robots. 47(6). 733–751. 9 indexed citations
3.
Hartley, John, Hubert P. H. Shum, Edmond S. L. Ho, He Wang, & Subramanian Ramamoorthy. (2022). Formation control for UAVs using a Flux Guided approach. Expert Systems with Applications. 205. 117665–117665. 6 indexed citations
4.
Cabrera, María Eugenia, Èric Pairet, Ronald P. A. Petrick, et al.. (2021). Affordance-Aware Handovers With Human Arm Mobility Constraints. IEEE Robotics and Automation Letters. 6(2). 3136–3143. 17 indexed citations
5.
Burke, Michael, et al.. (2019). Vid2Param: Online system identification from video for robotics applications. arXiv (Cornell University). 2 indexed citations
6.
Ramamoorthy, Subramanian, et al.. (2018). Towards robust grasps: Using the environment semantics for robotic object affordances. National Conference on Artificial Intelligence. 3 indexed citations
7.
Hastie, Helen, Katrin S. Lohan, Mike J. Chantler, et al.. (2018). The ORCA Hub: Explainable Offshore Robotics through Intelligent Interfaces. Human-Robot Interaction. 4 indexed citations
8.
Ramamoorthy, Subramanian, et al.. (2018). Learning from demonstration of trajectory preferences through causal modeling and inference. 1 indexed citations
9.
Arunkumar, M., et al.. (2017). Solution and Generalized Ulam-Hyers Stability of a n-Dimensional Additive Functional Equation in Banach Space and Banach Algebra: Direct and Fixed Point Methods. Annals of Pure and Applied Mathematics. 15(1). 25–40. 4 indexed citations
10.
Albrecht, Stefano V. & Subramanian Ramamoorthy. (2015). Are you doing what i think you are doing? criticising uncertain agent models. Edinburgh Research Explorer (University of Edinburgh). 52–61. 4 indexed citations
11.
Bianchi, Reinaldo A. C., H. Levent Akın, Subramanian Ramamoorthy, & Komei Sugiura. (2015). RoboCup 2014: Robot World Cup XVIII. Lecture notes in computer science. 13 indexed citations
12.
Mahmud, Maqsood, Benjamin Rosman, Subramanian Ramamoorthy, & Pushmeet Kohli. (2014). Adapting Interaction Environments to Diverse Users through Online Action Set Selection. Edinburgh Research Explorer (University of Edinburgh). 6 indexed citations
13.
Ramamoorthy, Subramanian, et al.. (2014). Linear Modulation Scheme in Multilevel Inverter. 1(2). 11. 2 indexed citations
14.
Albrecht, Stefano V. & Subramanian Ramamoorthy. (2013). A game-theoretic model and best-response learning method for ad hoc coordination in multiagent systems. arXiv (Cornell University). 1155–1156. 39 indexed citations
15.
Ramamoorthy, Subramanian, et al.. (2013). Lifelong Learning of Structure in the Space of Policies. National Conference on Artificial Intelligence. 4 indexed citations
16.
Mahmud, Maqsood & Subramanian Ramamoorthy. (2013). Learning in non-stationary MDPs as transfer learning. Adaptive Agents and Multi-Agents Systems. 1259–1260. 1 indexed citations
17.
Ramamoorthy, Subramanian, et al.. (2013). Evaluating the effects of limited perception on interactive decisions in mixed robotic domains. Human-Robot Interaction. 9–16. 4 indexed citations
18.
Albrecht, Stefano V. & Subramanian Ramamoorthy. (2013). Ad hoc coordination in multiagent systems with applications to human-machine interaction. Adaptive Agents and Multi-Agents Systems. 1415–1416. 1 indexed citations
19.
Rosman, Benjamin & Subramanian Ramamoorthy. (2012). A Multitask Representation Using Reusable Local Policy Templates.. National Conference on Artificial Intelligence. 5 indexed citations
20.
Albrecht, Stefano V. & Subramanian Ramamoorthy. (2012). Comparative evaluation of MAL algorithms in a diverse set of ad hoc team problems. Adaptive Agents and Multi-Agents Systems. 349–356. 17 indexed citations

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.

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