Sumit Kumar Das

42 papers receiving 647 citations

Sumit Kumar Das's Hit Papers

Towards next generation digital twin in robotics: Trends, scopes, challenges, and future 2023 · 93 citations
930+1+2Years since publication255075

Peers

Sumit Kumar Das
Comparison fields: 5 of 98
  • Human-Computer Interaction 96
  • Computer Graphics and Computer-Aided Design 52
  • Industrial and Manufacturing Engineering 93
  • Computer Vision and Pattern Recognition 175
  • Control and Systems Engineering 151
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Countries citing papers authored by Sumit Kumar Das

Since Specialization
Citations

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

Fields of papers citing papers by Sumit Kumar Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sumit Kumar Das. 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 Sumit Kumar Das. The network helps show where Sumit Kumar Das may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993122
2 2013101
3
Towards next generation digital twin in robotics: Trends, scopes, challenges, and future
Hit paper breakdown →
202393
4 201957
5
Model based interactive sound for an immersive virtual environment
199436
6 202034
7 201727
8 202023
9 202022
10 201420
11 200216
12 201814
13 201512
14 202211
15 202010
16
An organization for high-level interactive control of sound
19946
17 20236
18 20196
19 20215
20 20165

About Sumit Kumar Das

Sumit Kumar Das is a scholar working on Control and Systems Engineering, Human-Computer Interaction, Computer Vision and Pattern Recognition, Biomedical Engineering and Computer Graphics and Computer-Aided Design, having authored 44 papers that have together received 684 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (12 papers), Muscle activation and electromyography studies (7 papers), Social Robot Interaction and HRI (6 papers), Prosthetics and Rehabilitation Robotics (5 papers), Robotics and Automated Systems (4 papers), Advanced Sensor and Energy Harvesting Materials (4 papers), Gaze Tracking and Assistive Technology (4 papers) and Teleoperation and Haptic Systems (4 papers). The work is most often cited by research in Human-Computer Interaction (96 citations), Computer Graphics and Computer-Aided Design (52 citations), Industrial and Manufacturing Engineering (93 citations), Computer Vision and Pattern Recognition (175 citations) and Control and Systems Engineering (151 citations). Sumit Kumar Das has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Dan Popa - UofL, Daniel J. Sandin, Michael E. Papka, Mohammad Nasser Saadatzi, Frank L. Lewis, Tom DeFanti, R. Ananthanarayanan, Haifeng Jiang, Ashish Kumar Gupta and Manpreet Singh. Their work appears in journals such as IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Robotics, Electronics, Intelligent Service Robotics and Journal of Intelligent & Robotic Systems.

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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