Ashish Tawari

1.5k total citations
36 papers, 1.1k citations indexed

About

Ashish Tawari is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Experimental and Cognitive Psychology. According to data from OpenAlex, Ashish Tawari has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 12 papers in Human-Computer Interaction and 10 papers in Experimental and Cognitive Psychology. Recurrent topics in Ashish Tawari's work include Video Surveillance and Tracking Methods (13 papers), Gaze Tracking and Assistive Technology (11 papers) and Autonomous Vehicle Technology and Safety (8 papers). Ashish Tawari is often cited by papers focused on Video Surveillance and Tracking Methods (13 papers), Gaze Tracking and Assistive Technology (11 papers) and Autonomous Vehicle Technology and Safety (8 papers). Ashish Tawari collaborates with scholars based in United States, Germany and Slovenia. Ashish Tawari's co-authors include Mohan M. Trivedi, Sujitha Martin, Eshed Ohn-Bar, Teruhisa Misu, Byeongkeun Kang, Yi-Ting Chen, John Canny, Jinkyu Kim, Hyungil Kim and Sayanan Sivaraman and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Multimedia and Computer Vision and Image Understanding.

In The Last Decade

Ashish Tawari

35 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashish Tawari United States 19 507 351 309 306 296 36 1.1k
Sujitha Martin United States 17 435 0.9× 288 0.8× 505 1.6× 156 0.5× 288 1.0× 36 1.1k
Anup Doshi United States 15 467 0.9× 299 0.9× 589 1.9× 114 0.4× 372 1.3× 22 1.3k
Erik Murphy-Chutorian United States 9 1.0k 2.1× 392 1.1× 100 0.3× 169 0.6× 192 0.6× 12 1.4k
Keiichi Uchimura Japan 11 325 0.6× 109 0.3× 235 0.8× 250 0.8× 238 0.8× 112 1.0k
Zhencheng Hu Japan 11 314 0.6× 125 0.4× 290 0.9× 269 0.9× 253 0.9× 60 961
J. Javier Yebes Spain 14 514 1.0× 117 0.3× 210 0.7× 147 0.5× 112 0.4× 21 973
Yanchao Dong China 10 166 0.3× 116 0.3× 174 0.6× 242 0.8× 237 0.8× 35 756
Ping Lan China 3 127 0.3× 174 0.5× 92 0.3× 484 1.6× 249 0.8× 6 715
Lisheng Jin China 16 217 0.4× 77 0.2× 421 1.4× 127 0.4× 185 0.6× 79 898

Countries citing papers authored by Ashish Tawari

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Yang, Jinyu, Ashish Tawari, Mubarak Shah, et al.. (2025). CoLLM: A Large Language Model for Composed Image Retrieval. 3994–4004.
2.
Kim, Hyungil, Sujitha Martin, Ashish Tawari, Teruhisa Misu, & Joseph L. Gabbard. (2020). Toward Real-Time Estimation of Driver Situation Awareness: An Eye-tracking Approach based on Moving Objects of Interest. 1035–1041. 14 indexed citations
3.
Gao, Mingfei, Ashish Tawari, & Sujitha Martin. (2019). Goal-oriented Object Importance Estimation in On-road Driving Videos. 20 indexed citations
4.
Kim, Jinkyu, Teruhisa Misu, Yi-Ting Chen, Ashish Tawari, & John Canny. (2019). Grounding Human-To-Vehicle Advice for Self-Driving Vehicles. 10583–10591. 67 indexed citations
5.
Martin, Sujitha & Ashish Tawari. (2018). Object of Fixation Estimation by Joint Analysis of Gaze and Object Dynamics. 2042–2047. 8 indexed citations
6.
Li, Nanxiang, et al.. (2016). Driving maneuver prediction using car sensor and driver physiological signals. 108–112. 7 indexed citations
7.
Ohn-Bar, Eshed, Ashish Tawari, Sujitha Martin, & Mohan M. Trivedi. (2015). On surveillance for safety critical events: In-vehicle video networks for predictive driver assistance systems. Computer Vision and Image Understanding. 134. 130–140. 59 indexed citations
8.
Martin, Sujitha, Ashish Tawari, & Mohan M. Trivedi. (2014). Toward Privacy-Protecting Safety Systems for Naturalistic Driving Videos. IEEE Transactions on Intelligent Transportation Systems. 15(4). 1811–1822. 18 indexed citations
9.
Ohn-Bar, Eshed, Ashish Tawari, Sujitha Martin, & Mohan M. Trivedi. (2014). Vision on Wheels: Looking at Driver, Vehicle, and Surround for On-Road Maneuver Analysis. 185–190. 13 indexed citations
10.
Ohn-Bar, Eshed, Sujitha Martin, Ashish Tawari, & Mohan M. Trivedi. (2014). Head, Eye, and Hand Patterns for Driver Activity Recognition. 660–665. 97 indexed citations
11.
Ohn-Bar, Eshed, Ashish Tawari, Sujitha Martin, & Mohan M. Trivedi. (2014). Predicting driver maneuvers by learning holistic features. 719–724. 47 indexed citations
12.
Tawari, Ashish, Andreas Møgelmose, Sujitha Martin, Thomas B. Moeslund, & Mohan M. Trivedi. (2014). Attention estimation by simultaneous analysis of viewer and view. VBN Forskningsportal (Aalborg Universitet). 1381–1387. 20 indexed citations
13.
Martin, Sujitha, Eshed Ohn-Bar, Ashish Tawari, & Mohan M. Trivedi. (2014). Understanding head and hand activities and coordination in naturalistic driving videos. 884–889. 36 indexed citations
14.
Tawari, Ashish & Mohan M. Trivedi. (2014). Robust and continuous estimation of driver gaze zone by dynamic analysis of multiple face videos. 344–349. 73 indexed citations
15.
Martin, Sujitha, Ashish Tawari, & Mohan M. Trivedi. (2013). Monitoring head dynamics for driver assistance systems: A multi-perspective approach. 2286–2291. 15 indexed citations
16.
Tawari, Ashish & Mohan M. Trivedi. (2012). Audio-visual data association for face expression analysis. 1120–1123. 3 indexed citations
17.
Tawari, Ashish, Cuong Tran, Anup Doshi, Thorsten O. Zander, & Mohan M. Trivedi. (2012). Distributed multisensory signals acquisition and analysis in dyadic interactions. 2261–2266. 2 indexed citations
18.
Martin, Sujitha, Ashish Tawari, Erik Murphy-Chutorian, Shinko Y. Cheng, & Mohan M. Trivedi. (2012). On the design and evaluation of robust head pose for visual user interfaces. 149–154. 31 indexed citations
19.
Martin, Sujitha, et al.. (2012). Optical flow based head movement and gesture analysis in automotive environment. 882–887. 13 indexed citations
20.
Tawari, Ashish & Mohan M. Trivedi. (2010). Speech based emotion classification framework for driver assistance system. 174–178. 37 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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