Eshed Ohn-Bar
- Computer Vision and Pattern Recognition top 0.5%
- Human-Computer Interaction top 0.5%
- Automotive Engineering top 1%
- Artificial Intelligence top 5%
- Biomedical Engineering top 10%
- Co-authors
- Mohan M. TrivediSujitha MartinAshish TawariKris KitaniChieko AsakawaJoão GuerreiroDragan AhmetovicAseem Behl
- Topics
- Video Surveillance and Tracking Methods (29 papers)Advanced Neural Network Applications (24 papers)Autonomous Vehicle Technology and Safety (20 papers)
- Journals
- Pattern RecognitionIEEE Transactions on Intelligent Transportation SystemsInternational Journal of Human-Computer Studies
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Eshed Ohn-Bar
61 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Computer Vision and Pattern Recognition 1.2k
- Human-Computer Interaction 696
- Automotive Engineering 608
- Artificial Intelligence 308
- Biomedical Engineering 283
Countries citing papers authored by Eshed Ohn-Bar
This map shows the geographic impact of Eshed Ohn-Bar'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 Eshed Ohn-Bar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eshed Ohn-Bar more than expected).
Fields of papers citing papers by Eshed Ohn-Bar
This network shows the impact of papers produced by Eshed Ohn-Bar. 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 Eshed Ohn-Bar. The network helps show where Eshed Ohn-Bar may publish in the future.
Co-authorship network of co-authors of Eshed Ohn-Bar
This figure shows the co-authorship network connecting the top 25 collaborators of Eshed Ohn-Bar. A scholar is included among the top collaborators of Eshed Ohn-Bar 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 Eshed Ohn-Bar. Eshed Ohn-Bar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 16 | |
| 6 | Personalized Dynamics Models for Adaptive Assistive Navigation Systems | 2 |
| 7 | 38 | |
| 8 | 136 | |
| 9 | 39 | |
| 10 | 2 | |
| 11 | 77 | |
| 12 | 6 | |
| 13 | 9 | |
| 14 | 59 | |
| 15 | Hand Gesture Recognition in Real Time for Automotive Interfaces: A Multimodal Vision-Based Approach and Evaluationsbreakdown → | 308 |
| 16 | 4 | |
| 17 | 47 | |
| 18 | 13 | |
| 19 | 4 | |
| 20 | 31 |
About Eshed Ohn-Bar
Eshed Ohn-Bar is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Automotive Engineering, having authored 64 papers that have together received 2.0k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (29 papers), Advanced Neural Network Applications (24 papers) and Autonomous Vehicle Technology and Safety (20 papers). The work is most often cited by research in Human-Computer Interaction (696 citations), Computer Vision and Pattern Recognition (1.2k citations) and Automotive Engineering (608 citations). Eshed Ohn-Bar has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Mohan M. Trivedi, Sujitha Martin, Ashish Tawari, Kris Kitani, Chieko Asakawa, João Guerreiro, Dragan Ahmetovic, Aseem Behl, Andreas Geiger and Kashyap Chitta. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Intelligent Transportation Systems and International Journal of Human-Computer Studies.
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.