A. K. Dhingra

1.1k citations
46 papers · 845 · h-index 16

Impact in

Papers in

A. K. Dhingra

45 papers receiving 765 citations

Peers

A. K. Dhingra
Comparison fields: 5 of 66
  • Software 84
  • Statistics, Probability and Uncertainty 136
  • Safety, Risk, Reliability and Quality 168
  • Control and Systems Engineering 301
  • Computational Theory and Mathematics 203
Replace Frédéric Kratz with:
Frédéric Kratz France
Matthew Daigle United States
Indranil Roychoudhury United States
Edward Balaban United States
Scott Poll United States
Carl S. Byington United States
Gregory J. Kacprzynski United States
Diyin Tang China
You Cao China
Shuaiwen Tang China
A. K. Dhingra relative to Frédéric Kratz France Frédéric Kratz's profile →
Citations per field
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Citations per year

Countries citing papers authored by A. K. Dhingra

Since Specialization
Citations

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

Fields of papers citing papers by A. K. Dhingra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside A. K. 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 A. K. Dhingra Line = papers co-authored together A. K. Dhingra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992172
2 1995104
3 199960
4 199555
5 199438
6 199537
7 199237
8 199429
9 199429
10 199527
11 200126
12 199226
13 200020
14 199019
15 199518
16 199515
17 198912
18 200010
19 199210
20 19909

About A. K. Dhingra

A. K. Dhingra is a scholar working on Control and Systems Engineering, Civil and Structural Engineering, Computational Theory and Mathematics, Management Science and Operations Research and Mechanical Engineering, having authored 46 papers that have together received 845 indexed citations. Recurring topics across this work include Robotic Mechanisms and Dynamics (22 papers), Iterative Learning Control Systems (10 papers), Dynamics and Control of Mechanical Systems (10 papers), Advanced Multi-Objective Optimization Algorithms (9 papers), Optimization and Mathematical Programming (8 papers), Topology Optimization in Engineering (8 papers), Multi-Criteria Decision Making (8 papers) and Probabilistic and Robust Engineering Design (6 papers). The work is most often cited by research in Software (84 citations), Statistics, Probability and Uncertainty (136 citations), Safety, Risk, Reliability and Quality (168 citations), Control and Systems Engineering (301 citations) and Computational Theory and Mathematics (203 citations). A. K. Dhingra has collaborated with scholars based in United States, Saudi Arabia and India. Frequent co-authors include S. S. Rao, D. Kohli, Hirokazu Miura, S. Srinivasa Rao, Vineet Kumar, Vikas Kumar, V. B. Venkayya, Vinay Kumar, Kavita Kavita and Peter Liggesmeyer. Their work appears in journals such as Journal of Mechanical Design, Engineering Optimization, Mechanism and Machine Theory, International Journal for Numerical Methods in Engineering and Reliability Engineering & System Safety.

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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