Mihir Kulkarni

1.2k total citations · 1 hit paper
21 papers, 324 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 324 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 Modular Robots and Swarm Intelligence (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 Modular Robots and Swarm Intelligence (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 Tranzatto, Marco Hutter, Roland Siegwart, Huan Nguyen, Shehryar Khattak, Paolo De Petris and Takahiro Miki 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 312 citations

Hit Papers

CERBERUS in the DARPA Sub... 2022 2026 2023 2024 2022 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. CERBERUS in the DARPA Subterranean Challenge
    2022 155 citations Marco Tranzatto, Takahiro Miki et al. Science Robotics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mihir Kulkarni Norway 8 196 185 65 46 39 21 324
Nikhil Khedekar Norway 10 235 1.2× 217 1.2× 51 0.8× 31 0.7× 43 1.1× 16 309
Mihir Dharmadhikari Norway 7 280 1.4× 265 1.4× 83 1.3× 52 1.1× 47 1.2× 13 400
Lukas Bernreiter Switzerland 7 169 0.9× 130 0.7× 51 0.8× 31 0.7× 22 0.6× 11 260
Michael Pantic Switzerland 8 215 1.1× 237 1.3× 70 1.1× 20 0.4× 28 0.7× 17 329
Marius Beul Germany 12 245 1.3× 228 1.2× 117 1.8× 64 1.4× 64 1.6× 17 383
Yvan Baudoin Belgium 11 120 0.6× 120 0.6× 95 1.5× 56 1.2× 42 1.1× 40 295
Aurélio G. Melo Brazil 13 185 0.9× 196 1.1× 103 1.6× 16 0.3× 48 1.2× 24 384
Pablo Ramón Soria Spain 12 218 1.1× 190 1.0× 124 1.9× 78 1.7× 79 2.0× 20 402
Zehui Meng Singapore 7 245 1.3× 238 1.3× 66 1.0× 15 0.3× 29 0.7× 14 332
Alexander Millane Switzerland 8 186 0.9× 174 0.9× 68 1.0× 17 0.4× 15 0.4× 12 290

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
1.
Kulkarni, Mihir, et al.. (2025). Aerial Gym Simulator: A Framework for Highly Parallelized Simulation of Aerial Robots. IEEE Robotics and Automation Letters. 10(4). 4093–4100. 2 indexed citations
2.
Kulkarni, Mihir, et al.. (2025). Semantically-Driven Deep Reinforcement Learning for Inspection Path Planning. IEEE Robotics and Automation Letters. 10(7). 7206–7213.
3.
Kulkarni, Mihir, et al.. (2024). Neural Control Barrier Functions for Safe Navigation. 10415–10422. 6 indexed citations
4.
Kulkarni, Mihir & Kostas Alexis. (2024). Reinforcement Learning for Collision-free Flight Exploiting Deep Collision Encoding. 15781–15788. 8 indexed citations
5.
Dharmadhikari, Mihir, Paolo De Petris, Huan Nguyen, et al.. (2023). Manhole Detection and Traversal for Exploration of Ballast Water Tanks using Micro Aerial Vehicles. 103–109. 3 indexed citations
6.
Dharmadhikari, Mihir, Paolo De Petris, Mihir Kulkarni, et al.. (2023). Autonomous Exploration and General Visual Inspection of Ship Ballast Water Tanks Using Aerial Robots. 409–416. 3 indexed citations
7.
Saha, Sujoy, et al.. (2023). Study of Endophytes as Biocontrol Agents Vis-a-Vis their Compatibility to Fungicides in Grapes. SHILAP Revista de lepidopterología. 14(Nov, 11). 1539–1549. 2 indexed citations
8.
Kulkarni, Mihir, Huan Nguyen, & Kostas Alexis. (2023). Semantically-Enhanced Deep Collision Prediction for Autonomous Navigation Using Aerial Robots. 7 indexed citations
9.
Kulkarni, Mihir, Mihir Dharmadhikari, Marco Tranzatto, et al.. (2022). Autonomous Teamed Exploration of Subterranean Environments using Legged and Aerial Robots. 2022 International Conference on Robotics and Automation (ICRA). 3306–3313. 61 indexed citations
10.
Tranzatto, Marco, Takahiro Miki, Mihir Dharmadhikari, et al.. (2022). CERBERUS in the DARPA Subterranean Challenge. Science Robotics. 7(66). eabp9742–eabp9742. 155 indexed citations breakdown →
11.
Kulkarni, Mihir, et al.. (2022). Deep Learning based end-to-end Grasping Pipeline on a lowcost 5-DOF Robotic arm. 2022 IEEE 19th India Council International Conference (INDICON). 1–6. 2 indexed citations
12.
Kulkarni, Mihir, et al.. (2022). Corrosion Detection using Deep Learning and Custom Object Detection. 2022 2nd Asian Conference on Innovation in Technology (ASIANCON). 1 indexed citations
13.
Mascarich, Frank, et al.. (2022). Autonomous mapping and spectroscopic analysis of distributed radiation fields using aerial robots. Autonomous Robots. 47(2). 139–160. 9 indexed citations
14.
Petris, Paolo De, Huan Nguyen, Mihir Dharmadhikari, et al.. (2022). RMF-Owl: A Collision-Tolerant Flying Robot for Autonomous Subterranean Exploration. 536–543. 22 indexed citations
15.
Kulkarni, Mihir, et al.. (2022). Vibro-acoustic analysis of metal and non-metal gears used in a powertrain. Materials Today Proceedings. 63. 202–206. 3 indexed citations
16.
Petris, Paolo De, Huan Nguyen, Mihir Kulkarni, Frank Mascarich, & Kostas Alexis. (2021). Resilient Collision-tolerant Navigation in Confined Environments. 2286–2292. 18 indexed citations
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19.
Kulkarni, Mihir, et al.. (2010). Fractal Image Compression Using Genetic Algorithm. 241–243. 4 indexed citations
20.
Kulkarni, Mihir, et al.. (2006). Fractal image compression performance synthesis through HV partitioning. 9. 636–637. 1 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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