Vikas Panwar

637 citations
35 papers · 460 · h-index 10

Impact in

Papers in

Vikas Panwar

33 papers receiving 445 citations

Peers

Vikas Panwar
Comparison fields: 5 of 59
  • Control and Systems Engineering 347
  • Computer Vision and Pattern Recognition 79
  • Mechanical Engineering 132
  • Biomedical Engineering 117
  • Aerospace Engineering 57
Replace Seyed Alireza Moezi with:
Seyed Alireza Moezi Iran
Qingxin Meng China
Jin-Hwan Borm South Korea
Ricardo Campa Mexico
L. Ángel Colombia
Kunming Zheng China
Hejia Gao China
Samer Yahya Malaysia
Chala Merga Abdissa Ethiopia
Curtis Collins United States
Vikas Panwar relative to Seyed Alireza Moezi Iran Seyed Alireza Moezi's profile →
Citations per field
00.5×1.7×
Seyed Alireza Moezi · 1×
Citations per year

Countries citing papers authored by Vikas Panwar

Since Specialization
Citations

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

Fields of papers citing papers by Vikas Panwar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Vikas Panwar, 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 Vikas Panwar Line = papers co-authored together Vikas Panwar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201176
2 201157
3 201154
4 201453
5 202042
6 201231
7 201222
8 201618
9 200714
10 201410
11 20079
12 20037
13 20147
14 20126
15 20216
16 20225
17 20205
18 20215
19 20164
20 20104

About Vikas Panwar

Vikas Panwar is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Mechanical Engineering, Artificial Intelligence and Biomedical Engineering, having authored 35 papers that have together received 460 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (12 papers), Robotic Path Planning Algorithms (8 papers), Robot Manipulation and Learning (8 papers), Robotic Mechanisms and Dynamics (7 papers), Iterative Learning Control Systems (6 papers), Teleoperation and Haptic Systems (5 papers), Control and Dynamics of Mobile Robots (5 papers) and Fuzzy Logic and Control Systems (4 papers). The work is most often cited by research in Control and Systems Engineering (347 citations), Computer Vision and Pattern Recognition (79 citations), Mechanical Engineering (132 citations), Biomedical Engineering (117 citations) and Aerospace Engineering (57 citations). Vikas Panwar has collaborated with scholars based in India, South Korea and United States. Frequent co-authors include N. Sukavanam, Naveen Kumar, Jin-Hwan Borm, Anish Pandey, Rajendra Prasad, Himanshu Chaudhary, Dayal R. Parhi, S.P. Sharma, Jungwon Yoon and Pramendra Kumar. Their work appears in journals such as International Journal of Precision Engineering and Manufacturing, Robotica, Journal of Intelligent Manufacturing, Journal of Computational Design and Engineering and Mathematical and Computer Modelling.

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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