Mihir Kulkarni

1.2k citations
21 papers · 324 indexed · 1 hit paper · h-index 8
Topics
Robotics and Sensor-Based Localization (9 papers)Robotic Path Planning Algorithms (8 papers)Modular Robots and Swarm Intelligence (3 papers)
Journals
SHILAP Revista de lepidopterologíaScience RoboticsAutonomous Robots
Partner nations
NorwayIndiaUnited States

In The Last Decade

Mihir Kulkarni

19 papers receiving 312 citations

Hit Papers

CERBERUS in the DARPA Subterranean Challenge2022202620232024202250100150

Peers

Mihir Kulkarni
Comparison fields: 5 of 50
  • Aerospace Engineering 196
  • Computer Vision and Pattern Recognition 185
  • Control and Systems Engineering 65
  • Biomedical Engineering 46
  • Mechanical Engineering 39
Replace Michael Pantic with:
Michael Pantic Switzerland
Mihir Dharmadhikari Norway
Vladimír Kubelka Czechia
Zehui Meng Singapore
Alexander Millane Switzerland
Lukas Bernreiter Switzerland
Kyel Ok United States
Marius Beul Germany
Marco Tranzatto Switzerland
Nikhil Khedekar Norway
Mihir Kulkarni relative to Michael Pantic Switzerland Michael Pantic's profile →
Citations per field
00.5×1.5×2.3×
Michael Pantic · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 2
2 0
3 6
4 8
5 2
6 3
7 3
8 7
9
CERBERUS in the DARPA Subterranean Challengebreakdown →
155
10 61
11 2
12 1
13 3
14 9
15 22
16 18
17 5
18 0
19 4
20 1

About Mihir Kulkarni

Mihir Kulkarni is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Mathematical Physics, having authored 21 papers that have together received 324 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (9 papers), Robotic Path Planning Algorithms (8 papers) and Modular Robots and Swarm Intelligence (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (185 citations), Aerospace Engineering (196 citations) and Geology (28 citations). Mihir Kulkarni has collaborated with scholars based in Norway, India and United States. Frequent co-authors include Kostas Alexis, Mihir Dharmadhikari, Frank Mascarich, Roland Siegwart, Marco Hutter, Marco Tranzatto, Huan Nguyen, Olov Andersson, Takahiro Miki and Shehryar Khattak. Their work appears in journals such as SHILAP Revista de lepidopterología, Science Robotics and Autonomous Robots.

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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