Dinesh K. Pai

200 papers receiving 5.7k citations

Peers

Dinesh K. Pai
Comparison fields: 5 of 150
  • Computer Graphics and Computer-Aided Design 1.4k
  • Human-Computer Interaction 708
  • Computer Vision and Pattern Recognition 2.0k
  • Control and Systems Engineering 2.1k
  • Computational Mechanics 1.8k
Replace Javier Romero with:
Javier Romero Spain
Kostas Daniilidis United States
Taku Komura United Kingdom
Otmar Hilliges Switzerland
Jovan Popović United States
Michiel van de Panne Canada
Ulrich Neumann United States
Marcelo H. Ang Singapore
Ruigang Yang United States
Tomas Simon United States
Dinesh K. Pai relative to Javier Romero Spain Javier Romero's profile →
Citations per field
00.5×1.5×
Javier Romero · 1×
Citations per year

Countries citing papers authored by Dinesh K. Pai

Since Specialization
Citations

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

Fields of papers citing papers by Dinesh K. Pai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dinesh K. Pai. 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 Dinesh K. Pai. The network helps show where Dinesh K. Pai may publish in the future.

Co-authors

The 25 scholars most cited alongside Dinesh K. Pai, 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 Dinesh K. Pai Line = papers co-authored together Dinesh K. Pai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 206 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999402
2 2002267
3 2001228
4 2002216
5 2004173
6 2011173
7 2013161
8 2008155
9 2002145
10 2000136
11 2001136
12 2008136
13 2006123
14 2006113
15 1998107
16 2002101
17 200589
18 200379
19 200479
20 201177

About Dinesh K. Pai

Dinesh K. Pai is a scholar working on Control and Systems Engineering, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Human-Computer Interaction, having authored 206 papers that have together received 6.1k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (33 papers), 3D Shape Modeling and Analysis (32 papers), Human Motion and Animation (32 papers), Robotic Path Planning Algorithms (26 papers), Robotic Mechanisms and Dynamics (25 papers), Robot Manipulation and Learning (25 papers), Tactile and Sensory Interactions (23 papers) and Teleoperation and Haptic Systems (22 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (1.4k citations), Human-Computer Interaction (708 citations), Computer Vision and Pattern Recognition (2.0k citations), Control and Systems Engineering (2.1k citations) and Computational Mechanics (1.8k citations). Dinesh K. Pai has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Doug L. James, Kees van den Doel, Paul G. Kry, Shinjiro Sueda, Danny M. Kaufman, Timothy Edmunds, Benjamin J. Gilles, Andrea d’Avella, Andrew Jay Kaufman and KangKang Yin. Their work appears in journals such as ACM Transactions on Graphics, The International Journal of Robotics Research, IEEE Transactions on Robotics and Automation, Lecture notes in control and information sciences and Journal of Biomechanics.

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