Anup Doshi
Impact in
- Human-Computer Interaction top 1%
- Gaze Tracking and Assistive Technology
- Automotive Engineering top 1%
- Autonomous Vehicle Technology and Safety
Papers in
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- Traffic and Road Safety 10
-
- Autonomous Vehicle Technology and Safety 13
- Co-authors
- Mohan M. TrivediBrendan MorrisErik Murphy-ChutorianCuong TranShinko Y. ChengMichael C. MozerThorsten O. ZanderAshish Tawari
- Journals
- Journal of Vision (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)IEEE Pervasive Computing (1 paper)Cognitive Science (1 paper)Computer Vision and Image Understanding (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Anup Doshi
21 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 87
- Human-Computer Interaction 299
- Automotive Engineering 589
- Safety, Risk, Reliability and Quality 284
- Computer Vision and Pattern Recognition 467
- Social Psychology 372
Countries citing papers authored by Anup Doshi
This map shows the geographic impact of Anup Doshi'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 Anup Doshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anup Doshi more than expected).
Fields of papers citing papers by Anup Doshi
This network shows the impact of papers produced by Anup Doshi. 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 Anup Doshi. The network helps show where Anup Doshi may publish in the future.
Co-authorship network
The 8 scholars most cited alongside Anup Doshi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A FACE RECOGNITION SYSTEM BY HIDDEN MARKOV MODEL AND DISCRIMINING SET APPROACH | 2015 | 0 |
| 2 | 2012 | 10 | |
| 3 | 2012 | 78 | |
| 4 | 2012 | 4 | |
| 5 | 2012 | 2 | |
| 6 | 2011 | 156 | |
| 7 | 2011 | 92 | |
| 8 | 2011 | 82 | |
| 9 | 2011 | 25 | |
| 10 | 2010 | 57 | |
| 11 | 2010 | 5 | |
| 12 | 2010 | 38 | |
| 13 | 2009 | 222 | |
| 14 | 2009 | 49 | |
| 15 | 2009 | 24 | |
| 16 | 2008 | 97 | |
| 17 | 2007 | 160 | |
| 18 | 2007 | 6 | |
| 19 | 2007 | 14 | |
| 20 | 2006 | 23 |
About Anup Doshi
Anup Doshi is a scholar working on Safety, Risk, Reliability and Quality, Automotive Engineering, Human-Computer Interaction, Social Psychology and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (13 papers), Human-Automation Interaction and Safety (12 papers), Traffic and Road Safety (10 papers), Video Surveillance and Tracking Methods (5 papers), Gaze Tracking and Assistive Technology (3 papers), Advanced Vision and Imaging (3 papers), Face recognition and analysis (3 papers) and Visual perception and processing mechanisms (2 papers). The work is most often cited by research in Human-Computer Interaction (299 citations), Automotive Engineering (589 citations), Safety, Risk, Reliability and Quality (284 citations), Computer Vision and Pattern Recognition (467 citations) and Social Psychology (372 citations). Anup Doshi has collaborated with scholars based in United States and Germany. Frequent co-authors include Mohan M. Trivedi, Brendan Morris, Erik Murphy-Chutorian, Cuong Tran, Shinko Y. Cheng, Michael C. Mozer, Thorsten O. Zander and Ashish Tawari. Their work appears in journals such as Journal of Vision, IEEE Transactions on Intelligent Transportation Systems, IEEE Pervasive Computing, Cognitive Science 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.