T. S. Ashwin

818 total citations
38 papers, 484 citations indexed

About

T. S. Ashwin is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Human-Computer Interaction. According to data from OpenAlex, T. S. Ashwin has authored 38 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 10 papers in Experimental and Cognitive Psychology and 10 papers in Human-Computer Interaction. Recurrent topics in T. S. Ashwin's work include Emotion and Mood Recognition (9 papers), Video Surveillance and Tracking Methods (7 papers) and Gaze Tracking and Assistive Technology (6 papers). T. S. Ashwin is often cited by papers focused on Emotion and Mood Recognition (9 papers), Video Surveillance and Tracking Methods (7 papers) and Gaze Tracking and Assistive Technology (6 papers). T. S. Ashwin collaborates with scholars based in India, United States and Japan. T. S. Ashwin's co-authors include Ram Mohana Reddy Guddeti, Shridhar G. Domanal, Gautam Biswas, Ramkumar Rajendran, C. R. Snyder, S. Ashok, Rotti Srinivasamurthy Swathi, Siddharth Jain, Joshua Danish and Namrata Srivastava and has published in prestigious journals such as IEEE Access, British Journal of Educational Technology and Multimedia Tools and Applications.

In The Last Decade

T. S. Ashwin

31 papers receiving 464 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
T. S. Ashwin India	12	138	129	107	98	80	38	484
Barbara Bruno Switzerland	17	211 1.5×	247 1.9×	25 0.2×	147 1.5×	47 0.6×	71	770
Ahmad Hoirul Basori Saudi Arabia	11	168 1.2×	55 0.4×	65 0.6×	28 0.3×	39 0.5×	71	437
Mahmoud Néji Tunisia	9	110 0.8×	152 1.2×	49 0.5×	44 0.4×	43 0.5×	50	387
Matúš Pleva Slovakia	14	127 0.9×	321 2.5×	72 0.7×	30 0.3×	65 0.8×	92	632
Paul Lukowicz Germany	8	198 1.4×	45 0.3×	168 1.6×	20 0.2×	103 1.3×	12	527
Kamal Bijlani India	12	121 0.9×	109 0.8×	24 0.2×	119 1.2×	75 0.9×	50	442
Yelin Kim United States	11	203 1.5×	245 1.9×	359 3.4×	39 0.4×	33 0.4×	21	644
Ioana Ghergulescu Ireland	12	141 1.0×	54 0.4×	15 0.1×	94 1.0×	56 0.7×	37	426
Martin Magdin Slovakia	10	42 0.3×	52 0.4×	43 0.4×	41 0.4×	58 0.7×	42	300
Roghayeh Barmaki United States	11	117 0.8×	89 0.7×	24 0.2×	35 0.4×	97 1.2×	40	477

Countries citing papers authored by T. S. Ashwin

Since Specialization

Citations

This map shows the geographic impact of T. S. Ashwin'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 T. S. Ashwin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. S. Ashwin more than expected).

Fields of papers citing papers by T. S. Ashwin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. S. Ashwin. 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 T. S. Ashwin. The network helps show where T. S. Ashwin may publish in the future.

Co-authorship network of co-authors of T. S. Ashwin

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

All Works

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20 of 20 papers shown

Ashwin, T. S., et al.. (2024). The Interplay of Affective States and Cognitive Processes in an Open-Ended Learning Environment: A Case Study. Proceedings.. 873–880. 2 indexed citations

Snyder, C. R., et al.. (2024). A multimodal approach to support teacher, researcher and AI collaboration in STEM +C learning environments. British Journal of Educational Technology. 56(2). 595–620. 11 indexed citations

Ashwin, T. S., et al.. (2024). Combining Multimodal Analyses of Students' Emotional and Cognitive States to Understand Their Learning Behaviors. International Conference on Computers in Education.

Ashwin, T. S., et al.. (2024). Real-Time Stress Detection Using Facial Images and Convolutional Neural Networks. 432–437.

Ashwin, T. S. & Gautam Biswas. (2024). Relating Students Cognitive Processes and Learner-Centered Emotions: An Advanced Deep Learning Approach. 575–584.

Ashwin, T. S., et al.. (2024). 3D Gaze Tracking for Studying Collaborative Interactions in Mixed-Reality Environments. 175–183.

Ashwin, T. S., et al.. (2023). A systematic review of intelligent tutoring systems based on Gross body movement detected using computer vision. Computers and Education Artificial Intelligence. 4. 100125–100125. 9 indexed citations

Ashwin, T. S., et al.. (2023). DLOT: An open-source application to assist human observers. International Conference on Computers in Education.

Ashwin, T. S., et al.. (2021). A Google Glass Based Real-Time Scene Analysis for the Visually Impaired. IEEE Access. 9. 166351–166369. 32 indexed citations

10.

Ashwin, T. S., et al.. (2020). A Multi-Protocol Home Automation System Using Smart Gateway. Wireless Personal Communications. 116(3). 2367–2390. 8 indexed citations

11.

Ashwin, T. S., et al.. (2020). Multimodal behavior analysis in computer-enabled laboratories using nonverbal cues. Signal Image and Video Processing. 14(8). 1617–1624. 9 indexed citations

12.

Ashwin, T. S., et al.. (2019). EmoWare: A Context-Aware Framework for Personalized Video Recommendation Using Affective Video Sequences. IEEE Access. 7. 51185–51200. 25 indexed citations

13.

Ashwin, T. S., et al.. (2019). Students’ affective content analysis in smart classroom environment using deep learning techniques. Multimedia Tools and Applications. 78(18). 25321–25348. 68 indexed citations

14.

Ashwin, T. S., et al.. (2018). A Reinforcement Learning and Recurrent Neural Network Based Dynamic User Modeling System. 4467. 411–415. 2 indexed citations

15.

Ashwin, T. S. & Ram Mohana Reddy Guddeti. (2018). Unobtrusive Students' Engagement Analysis in Computer Science Laboratory Using Deep Learning Techniques. 436–440. 10 indexed citations

16.

Ashwin, T. S., et al.. (2018). CVUCAMS: Computer Vision Based Unobtrusive Classroom Attendance Management System. 101–102. 15 indexed citations

17.

Swathi, Rotti Srinivasamurthy, et al.. (2016). Kinect Based Real Time Gesture Recognition Tool for Air Marshallers and Traffic Policemen. 5 indexed citations

18.

Ashwin, T. S., et al.. (2016). Detection and analysis model for grammatical facial expressions in sign language. 155–160. 6 indexed citations

19.

Jain, Siddharth, et al.. (2015). Semantic sentiment analysis using context specific grammar. 11. 28–35. 6 indexed citations

20.

Guddeti, Ram Mohana Reddy, et al.. (2014). An Android GPS-Based Navigation Application For Blind. 240–241. 6 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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