Vijay Pawar

77 total papers · 1.3k total citations
46 papers, 608 citations indexed

About

Vijay Pawar is a scholar working on Mechanical Engineering, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Vijay Pawar has authored 46 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Mechanical Engineering, 12 papers in Computer Vision and Pattern Recognition and 8 papers in Cognitive Neuroscience. Recurrent topics in Vijay Pawar's work include Teleoperation and Haptic Systems (10 papers), Modular Robots and Swarm Intelligence (6 papers) and Genetics, Aging, and Longevity in Model Organisms (6 papers). Vijay Pawar is often cited by papers focused on Teleoperation and Haptic Systems (10 papers), Modular Robots and Swarm Intelligence (6 papers) and Genetics, Aging, and Longevity in Model Organisms (6 papers). Vijay Pawar collaborates with scholars based in United Kingdom, United States and Canada. Vijay Pawar's co-authors include Danail Stoyanov, David Swapp, Céline Loscos, Muna Elmi, Michael Shaw, Mandayam A. Srinivasan, Stephen Hailes, John C. Rothwell, Rory John Bufacchi and Giacomo Novembre and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Vijay Pawar

42 papers receiving 593 citations

Author Peers

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

Author Last Decade Papers Cites
Vijay Pawar 190 136 114 91 74 46 608
Miu-Ling Lam 157 0.8× 24 0.2× 176 1.5× 65 0.7× 42 0.6× 39 555
Yuan Luo 318 1.7× 62 0.5× 66 0.6× 37 0.4× 98 1.3× 77 613
Giuseppe Megali 214 1.1× 82 0.6× 335 2.9× 92 1.0× 60 0.8× 44 662
Keisuke Koyama 75 0.4× 123 0.9× 277 2.4× 107 1.2× 43 0.6× 57 571
Xiaopeng Sha 126 0.7× 26 0.2× 195 1.7× 82 0.9× 70 0.9× 51 655
Xinyue Tang 72 0.4× 117 0.9× 296 2.6× 56 0.6× 28 0.4× 22 580
Yoshihiro Nakabo 229 1.2× 27 0.2× 208 1.8× 111 1.2× 37 0.5× 53 624
Heinz Woern 77 0.4× 91 0.7× 271 2.4× 135 1.5× 23 0.3× 68 547
Oliver Tonet 163 0.9× 163 1.2× 368 3.2× 45 0.5× 53 0.7× 30 619
Adrian Burlacu 249 1.3× 114 0.8× 45 0.4× 53 0.6× 61 0.8× 71 527

Countries citing papers authored by Vijay Pawar

Since Specialization
Citations

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

Fields of papers citing papers by Vijay Pawar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vijay Pawar

This figure shows the co-authorship network connecting the top 25 collaborators of Vijay Pawar. A scholar is included among the top collaborators of Vijay Pawar 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 Vijay Pawar. Vijay Pawar 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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