Misha Sra

2.0k citations
75 papers · 1.2k · h-index 19

Impact in

Papers in

Misha Sra

65 papers receiving 1.2k citations

Peers

Misha Sra
Comparison fields: 5 of 111
  • Human-Computer Interaction 663
  • Health Informatics 27
  • Cognitive Neuroscience 309
  • Computer Vision and Pattern Recognition 331
  • Computer Science Applications 54
Replace Parinya Punpongsanon with:
Parinya Punpongsanon Japan
Morten Fjeld Sweden
Thomas Kosch Germany
Manolya Kavakli Australia
Irene Alice Chicchi Giglioli Spain
Lingyun Sun China
Tassos A. Mikropoulos Greece
Roy A. Ruddle United Kingdom
Fraser Anderson Canada
Lik‐Hang Lee Hong Kong
Misha Sra relative to Parinya Punpongsanon Japan Parinya Punpongsanon's profile →
Citations per field
00.5×2.7×
Parinya Punpongsanon · 1×
Citations per year

Countries citing papers authored by Misha Sra

Since Specialization
Citations

This map shows the geographic impact of Misha Sra'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 Misha Sra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Misha Sra more than expected).

Fields of papers citing papers by Misha Sra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Misha Sra. 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 Misha Sra. The network helps show where Misha Sra may publish in the future.

Co-authors

The 25 scholars most cited alongside Misha Sra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Misha Sra Line = papers co-authored together Misha Sra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021207
2 201686
3 201867
4 201866
5 201865
6 201955
7 202052
8 201651
9 201639
10 201536
11 201736
12 202033
13 201832
14 202130
15 202328
16 202226
17 202221
18 202119
19 202118
20 202216

About Misha Sra

Misha Sra is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Mechanical Engineering and Control and Systems Engineering, having authored 75 papers that have together received 1.2k indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (24 papers), Interactive and Immersive Displays (17 papers), Augmented Reality Applications (16 papers), Tactile and Sensory Interactions (15 papers), Innovative Human-Technology Interaction (15 papers), Teleoperation and Haptic Systems (7 papers), Human Motion and Animation (6 papers) and Evacuation and Crowd Dynamics (5 papers). The work is most often cited by research in Human-Computer Interaction (663 citations), Health Informatics (27 citations), Cognitive Neuroscience (309 citations), Computer Vision and Pattern Recognition (331 citations) and Computer Science Applications (54 citations). Misha Sra has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Pattie Maes, Chris Schmandt, Pat Pataranutaporn, Valdemar Danry, Joanne Leong, Xuhai Xu, Sergio Garrido-Jurado, Parinya Punpongsanon, Aske Mottelson and Abhinandan Jain. Their work appears in journals such as IEEE Computer Graphics and Applications, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Nature Machine Intelligence, IEEE Journal on Selected Areas in Communications and Personal and Ubiquitous Computing.

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.

Explore authors with similar magnitude of impact