Mihir Kulkarni

60 total papers · 1.2k total citations
21 papers, 309 citations indexed

About

Mihir Kulkarni is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, Mihir Kulkarni has authored 21 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Aerospace Engineering, 9 papers in Computer Vision and Pattern Recognition and 5 papers in Mechanical Engineering. Recurrent topics in Mihir Kulkarni's work include Robotics and Sensor-Based Localization (9 papers), Robotic Path Planning Algorithms (8 papers) and Robot Manipulation and Learning (3 papers). Mihir Kulkarni is often cited by papers focused on Robotics and Sensor-Based Localization (9 papers), Robotic Path Planning Algorithms (8 papers) and Robot Manipulation and Learning (3 papers). Mihir Kulkarni collaborates with scholars based in Norway, India and United States. Mihir Kulkarni's co-authors include Kostas Alexis, Mihir Dharmadhikari, Frank Mascarich, Marco Hutter, Marco Tranzatto, Roland Siegwart, Paolo De Petris, Huan Nguyen, Shehryar Khattak and Lukas Bernreiter and has published in prestigious journals such as SHILAP Revista de lepidopterología, Science Robotics and Autonomous Robots.

In The Last Decade

Mihir Kulkarni

19 papers receiving 298 citations

Hit Papers

CERBERUS in the DARPA Sub... 2022 2026 2023 2024 2022 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Mihir Kulkarni 189 179 61 46 38 21 309
Nikhil Khedekar 230 1.2× 212 1.2× 49 0.8× 31 0.7× 43 1.1× 16 297
Olov Andersson 158 0.8× 170 0.9× 96 1.6× 40 0.9× 24 0.6× 24 357
Eric Heiden 129 0.7× 131 0.7× 65 1.1× 22 0.5× 30 0.8× 16 235
Michael Pantic 212 1.1× 232 1.3× 70 1.1× 19 0.4× 27 0.7× 17 324
Francisco J. Pérez-Grau 194 1.0× 132 0.7× 50 0.8× 58 1.3× 30 0.8× 18 323
L. Matthies 236 1.2× 204 1.1× 29 0.5× 36 0.8× 36 0.9× 15 315
Lukas Bernreiter 162 0.9× 124 0.7× 47 0.8× 31 0.7× 21 0.6× 11 249
Marko Car 171 0.9× 142 0.8× 82 1.3× 32 0.7× 69 1.8× 24 348
Yvan Baudoin 119 0.6× 120 0.7× 94 1.5× 55 1.2× 42 1.1× 40 293
Gangqi Dong 194 1.0× 116 0.6× 89 1.5× 39 0.8× 47 1.2× 26 319

Countries citing papers authored by Mihir Kulkarni

Since Specialization
Citations

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

Fields of papers citing papers by Mihir Kulkarni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mihir Kulkarni

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