Ashesh Jain

2.1k total citations · 1 hit paper
9 papers, 929 citations indexed

About

Ashesh Jain is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Ashesh Jain has authored 9 papers receiving a total of 929 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Automotive Engineering. Recurrent topics in Ashesh Jain's work include Autonomous Vehicle Technology and Safety (4 papers), Robotic Path Planning Algorithms (4 papers) and Reinforcement Learning in Robotics (3 papers). Ashesh Jain is often cited by papers focused on Autonomous Vehicle Technology and Safety (4 papers), Robotic Path Planning Algorithms (4 papers) and Reinforcement Learning in Robotics (3 papers). Ashesh Jain collaborates with scholars based in United States and India. Ashesh Jain's co-authors include Danfei Xu, Dragomir Anguelov, Ashutosh Saxena, Hema Swetha Koppula, Thorsten Joachims, Manik Varma, S. V. N. Vishwanathan, Shikhar Sharma, Błażej Osiński and Ana Ferreira and has published in prestigious journals such as The International Journal of Robotics Research, arXiv (Cornell University) and 2022 International Conference on Robotics and Automation (ICRA).

In The Last Decade

Ashesh Jain

9 papers receiving 896 citations

Hit Papers

PointFusion: Deep Sensor Fusion for 3D Bounding Box Estim... 2018 2026 2020 2023 2018 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashesh Jain United States 8 578 285 249 199 198 9 929
Soeren Kammel Germany 8 505 0.9× 226 0.8× 426 1.7× 209 1.1× 174 0.9× 13 1.1k
Alex Teichman United States 10 639 1.1× 316 1.1× 481 1.9× 214 1.1× 229 1.2× 11 1.3k
Jennifer Dolson United States 8 883 1.5× 270 0.9× 467 1.9× 186 0.9× 181 0.9× 12 1.5k
Jan Becker Germany 4 405 0.7× 184 0.6× 411 1.7× 204 1.0× 167 0.8× 6 948
Xinyu Huang United States 13 641 1.1× 184 0.6× 283 1.1× 76 0.4× 131 0.7× 36 991
Yibiao Zhao United States 17 855 1.5× 169 0.6× 313 1.3× 225 1.1× 298 1.5× 28 1.4k
David Stavens United States 8 686 1.2× 441 1.5× 529 2.1× 200 1.0× 227 1.1× 9 1.5k
Jacob Lambert Japan 6 506 0.9× 246 0.9× 530 2.1× 184 0.9× 216 1.1× 8 1.2k
Manuel Ocaña Spain 18 584 1.0× 378 1.3× 192 0.8× 111 0.6× 117 0.6× 75 1.3k
Alex Mouzakitis United Kingdom 10 336 0.6× 150 0.5× 226 0.9× 61 0.3× 123 0.6× 27 792

Countries citing papers authored by Ashesh Jain

Since Specialization
Citations

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

Fields of papers citing papers by Ashesh Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashesh Jain

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

All Works

9 of 9 papers shown
1.
Ye, Yawei, Ana Ferreira, Błażej Osiński, et al.. (2022). SafetyNet: Safe Planning for Real-World Self-Driving Vehicles Using Machine-Learned Policies. 2022 International Conference on Robotics and Automation (ICRA). 897–904. 42 indexed citations
2.
Houston, John A., Guido Zuidhof, Luca Bergamini, et al.. (2020). One Thousand and One Hours: Self-driving Motion Prediction Dataset. arXiv (Cornell University). 409–418. 2 indexed citations
3.
Xu, Danfei, Dragomir Anguelov, & Ashesh Jain. (2018). PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation. 244–253. 542 indexed citations breakdown →
4.
Jain, Ashesh, et al.. (2015). PlanIt: A crowdsourcing approach for learning to plan paths from large scale preference feedback. 877–884. 15 indexed citations
5.
Jain, Ashesh, Shikhar Sharma, Thorsten Joachims, & Ashutosh Saxena. (2015). Learning preferences for manipulation tasks from online coactive feedback. The International Journal of Robotics Research. 34(10). 1296–1313. 54 indexed citations
6.
Jain, Ashesh, et al.. (2015). Know Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models. 7 indexed citations
7.
Jain, Ashesh, et al.. (2015). Car that Knows Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models. 3182–3190. 174 indexed citations
8.
Jain, Ashesh, et al.. (2013). Learning Trajectory Preferences for Manipulators via Iterative Improvement. arXiv (Cornell University). 26. 575–583. 42 indexed citations
9.
Jain, Ashesh, S. V. N. Vishwanathan, & Manik Varma. (2012). SPF-GMKL. 750–758. 51 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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