Anoop Kumar Dhingra

61 papers receiving 817 citations

Peers

Anoop Kumar Dhingra
Comparison fields: 5 of 72
  • Management of Technology and Innovation 213
  • Management Science and Operations Research 229
  • Civil and Structural Engineering 224
  • Statistics, Probability and Uncertainty 72
  • Rehabilitation 60
Replace Masataka Yoshimura with:
Masataka Yoshimura Japan
Gary A. Gabriele United States
Grant Soremekun United States
Tobias Brückmann Germany
Pingshu Ge China
Weiqiang Jia China
A.J. Dentsoras Greece
Yongsu Jung South Korea
S. Khodaygan Iran
Lemiao Qiu China
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Citations per field
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Citations per year

Countries citing papers authored by Anoop Kumar Dhingra

Since Specialization
Citations

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

Fields of papers citing papers by Anoop Kumar Dhingra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Anoop Kumar Dhingra, 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 Anoop Kumar Dhingra Line = papers co-authored together Anoop Kumar Dhingra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000215
2 199357
3 201350
4 199246
5 201537
6 199127
7 202227
8 201222
9 201221
10 200719
11 200516
12 202116
13 202215
14 201415
15 202014
16 199614
17 201913
18 202013
19 201312
20 200812

About Anoop Kumar Dhingra

Anoop Kumar Dhingra is a scholar working on Civil and Structural Engineering, Rehabilitation, Automotive Engineering, Mechanical Engineering and Statistics, Probability and Uncertainty, having authored 65 papers that have together received 858 indexed citations. Recurring topics across this work include Structural Health Monitoring Techniques (20 papers), Advanced Multi-Objective Optimization Algorithms (14 papers), Stroke Rehabilitation and Recovery (10 papers), Probabilistic and Robust Engineering Design (10 papers), Muscle activation and electromyography studies (9 papers), Prosthetics and Rehabilitation Robotics (9 papers), Hydraulic and Pneumatic Systems (9 papers) and Mechanical Engineering and Vibrations Research (8 papers). The work is most often cited by research in Management of Technology and Innovation (213 citations), Management Science and Operations Research (229 citations), Civil and Structural Engineering (224 citations), Statistics, Probability and Uncertainty (72 citations) and Rehabilitation (60 citations). Anoop Kumar Dhingra has collaborated with scholars based in United States, South Africa and South Korea. Frequent co-authors include Herbert Moskowitz, Kwang-Jae Kim, Gerald W. Evans, Singiresu S. Rao, Nathan Picchietti Salowitz, Wilkistar A. Otieno, Kevin D. Hill, Gunol Kojasoy, Fred Landis and Trevor Williams. Their work appears in journals such as Engineering Optimization, Journal of vibration and acoustics, Journal of Vacuum Science & Technology A Vacuum Surfaces and Films, Shock and Vibration and Journal of Vibration and Control.

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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