Ashish Tawari
- Computer Vision and Pattern Recognition top 2%
- Human-Computer Interaction top 1%
- Automotive Engineering top 2%
- Experimental and Cognitive Psychology top 5%
- Social Psychology top 5%
- Co-authors
- Mohan M. TrivediSujitha MartinEshed Ohn-BarTeruhisa MisuByeongkeun KangJinkyu KimYi-Ting ChenJohn Canny
- Topics
- Video Surveillance and Tracking Methods (13 papers)Gaze Tracking and Assistive Technology (11 papers)Autonomous Vehicle Technology and Safety (8 papers)
- Journals
- IEEE Transactions on Intelligent Transportation SystemsIEEE Transactions on MultimediaComputer Vision and Image Understanding
- Partner nations
- United StatesGermanyDenmark
In The Last Decade
Ashish Tawari
35 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 507
- Human-Computer Interaction 351
- Automotive Engineering 309
- Experimental and Cognitive Psychology 306
- Social Psychology 296
Countries citing papers authored by Ashish Tawari
This map shows the geographic impact of Ashish Tawari'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 Ashish Tawari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashish Tawari more than expected).
Fields of papers citing papers by Ashish Tawari
This network shows the impact of papers produced by Ashish Tawari. 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 Ashish Tawari. The network helps show where Ashish Tawari may publish in the future.
Co-authorship network of co-authors of Ashish Tawari
This figure shows the co-authorship network connecting the top 25 collaborators of Ashish Tawari. A scholar is included among the top collaborators of Ashish Tawari 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 Ashish Tawari. Ashish Tawari 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 | 14 | |
| 3 | 20 | |
| 4 | 67 | |
| 5 | 7 | |
| 6 | 32 | |
| 7 | 59 | |
| 8 | Vision for Intelligent Vehicles and Application | 2 |
| 9 | 18 | |
| 10 | 20 | |
| 11 | 47 | |
| 12 | 13 | |
| 13 | 36 | |
| 14 | 97 | |
| 15 | 3 | |
| 16 | 15 | |
| 17 | Audio-visual data association for face expression analysis | 3 |
| 18 | 13 | |
| 19 | 2 | |
| 20 | 37 |
About Ashish Tawari
Ashish Tawari is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (13 papers), Gaze Tracking and Assistive Technology (11 papers) and Autonomous Vehicle Technology and Safety (8 papers). The work is most often cited by research in Human-Computer Interaction (351 citations), Automotive Engineering (309 citations) and Computer Vision and Pattern Recognition (507 citations). Ashish Tawari has collaborated with scholars based in United States, Germany and Denmark. Frequent co-authors include Mohan M. Trivedi, Sujitha Martin, Eshed Ohn-Bar, Teruhisa Misu, Byeongkeun Kang, Jinkyu Kim, Yi-Ting Chen, John Canny, Hyungil Kim and Sayanan Sivaraman. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Multimedia and Computer Vision and Image Understanding.
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.