Ajay Kumar Tanwani

54 total papers · 4.2k total citations
26 papers, 507 citations indexed

About

Ajay Kumar Tanwani is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ajay Kumar Tanwani has authored 26 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Control and Systems Engineering, 11 papers in Artificial Intelligence and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ajay Kumar Tanwani's work include Robot Manipulation and Learning (13 papers), Reinforcement Learning in Robotics (7 papers) and Modular Robots and Swarm Intelligence (4 papers). Ajay Kumar Tanwani is often cited by papers focused on Robot Manipulation and Learning (13 papers), Reinforcement Learning in Robotics (7 papers) and Modular Robots and Swarm Intelligence (4 papers). Ajay Kumar Tanwani collaborates with scholars based in United States, Switzerland and Germany. Ajay Kumar Tanwani's co-authors include Sylvain Calinon, Ken Goldberg, Paweł Wawrzyński, Joseph E. Gonzalez, Muddassar Farooq, Daniel Seita, John Kubiatowicz, Nawid Jamali, Soshi Iba and Ryan Hoque and has published in prestigious journals such as The International Journal of Robotics Research, Neural Networks and Autonomous Robots.

In The Last Decade

Ajay Kumar Tanwani

26 papers receiving 480 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ajay Kumar Tanwani	273	128	120	116	107	26	507
Alexis Maldonado	242 0.9×	135 1.1×	83 0.7×	101 0.9×	198 1.9×	20	516
Joe Falco	372 1.4×	75 0.6×	99 0.8×	177 1.5×	53 0.5×	33	589
Cihan Karakuzu	154 0.6×	181 1.4×	83 0.7×	68 0.6×	46 0.4×	34	509
J.R. Llata	230 0.8×	53 0.4×	76 0.6×	116 1.0×	90 0.8×	38	554
Petr Novák	185 0.7×	162 1.3×	138 1.1×	78 0.7×	129 1.2×	32	581
Sumit Kumar Das	135 0.5×	101 0.8×	51 0.4×	83 0.7×	154 1.4×	41	565
Ali Torabi	199 0.7×	48 0.4×	139 1.2×	195 1.7×	82 0.8×	31	521
Judy A. Franklin	305 1.1×	209 1.6×	62 0.5×	208 1.8×	82 0.8×	27	532
Takeshi Nishida	183 0.7×	116 0.9×	87 0.7×	211 1.8×	234 2.2×	61	559
H. Daniel Patiño	202 0.7×	121 0.9×	87 0.7×	38 0.3×	62 0.6×	29	551

Countries citing papers authored by Ajay Kumar Tanwani

Since Specialization

Citations

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

Fields of papers citing papers by Ajay Kumar Tanwani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ajay Kumar Tanwani. 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 Ajay Kumar Tanwani. The network helps show where Ajay Kumar Tanwani may publish in the future.

Co-authorship network of co-authors of Ajay Kumar Tanwani

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

All Works

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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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