Aseem Behl

1.3k total citations · 1 hit paper
8 papers, 519 citations indexed

About

Aseem Behl is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Artificial Intelligence. According to data from OpenAlex, Aseem Behl has authored 8 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 2 papers in Automotive Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Aseem Behl's work include Advanced Neural Network Applications (5 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Autonomous Vehicle Technology and Safety (2 papers). Aseem Behl is often cited by papers focused on Advanced Neural Network Applications (5 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Autonomous Vehicle Technology and Safety (2 papers). Aseem Behl collaborates with scholars based in Germany, India and Switzerland. Aseem Behl's co-authors include Andreas Geiger, Joel Janai, Fatma Güney, Eshed Ohn-Bar, Kashyap Chitta, Carsten Rother, Siva Karthik Mustikovela, Omid Hosseini Jafari, Hassan Abu Alhaija and Aditya Prakash and has published in prestigious journals such as PubMed and arXiv (Cornell University).

In The Last Decade

Aseem Behl

8 papers receiving 504 citations

Hit Papers

Computer Vision for Autonomous Vehicles 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aseem Behl Germany 6 328 148 125 80 43 8 519
Fatma Güney Türkiye 7 421 1.3× 125 0.8× 128 1.0× 94 1.2× 30 0.7× 16 634
Yiqi Zhong China 8 261 0.8× 100 0.7× 122 1.0× 87 1.1× 31 0.7× 12 459
Joel Janai Germany 5 261 0.8× 107 0.7× 128 1.0× 48 0.6× 24 0.6× 5 449
Botian Shi China 12 317 1.0× 78 0.5× 164 1.3× 84 1.1× 33 0.8× 34 546
Jirui Yuan China 7 291 0.9× 139 0.9× 51 0.4× 91 1.1× 41 1.0× 10 448
Yihan Hu China 4 263 0.8× 169 1.1× 102 0.8× 87 1.1× 44 1.0× 8 470
Abhishek Gupta Canada 9 199 0.6× 107 0.7× 95 0.8× 103 1.3× 45 1.0× 22 498
Liping Zheng China 13 245 0.7× 55 0.4× 71 0.6× 61 0.8× 55 1.3× 74 477
Yaodong Cui Canada 5 212 0.6× 102 0.7× 66 0.5× 84 1.1× 21 0.5× 10 496

Countries citing papers authored by Aseem Behl

Since Specialization
Citations

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

Fields of papers citing papers by Aseem Behl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aseem Behl

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

All Works

8 of 8 papers shown
1.
Janai, Joel, Fatma Güney, Aseem Behl, & Andreas Geiger. (2020). Computer Vision for Autonomous Vehicles. 12(1-3). 1–308. 341 indexed citations breakdown →
2.
Prakash, Aditya, Aseem Behl, Eshed Ohn-Bar, Kashyap Chitta, & Andreas Geiger. (2020). Exploring Data Aggregation in Policy Learning for Vision-Based Urban Autonomous Driving. 11760–11770. 46 indexed citations
3.
Ohn-Bar, Eshed, et al.. (2020). Learning Situational Driving. 11293–11302. 35 indexed citations
4.
Behl, Aseem, et al.. (2018). PointFlowNet: Learning Representations for 3D Scene Flow Estimation from Point Clouds.. arXiv (Cornell University). 6 indexed citations
5.
Behl, Aseem, Omid Hosseini Jafari, Siva Karthik Mustikovela, et al.. (2017). Bounding Boxes, Segmentations and Object Coordinates: How Important is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios?. 2593–2602. 81 indexed citations
6.
Behl, Aseem & Monojit Choudhury. (2016). A Corpus Linguistic Study of Bollywood Song Lyrics in the Framework of Complex Network Theory. 1 indexed citations
7.
Behl, Aseem, C. V. Jawahar, & Manish Kumar. (2014). Optimizing Average Precision Using Weakly Supervised Data. PubMed. 37(12). 1011–1018. 5 indexed citations
8.
Singh, Suriya, et al.. (2014). Monocular vision based road marking recognition for driver assistance and safety. 11–16. 4 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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