Deepak Sharma

63 papers receiving 657 citations

Peers

Deepak Sharma
Comparison fields: 5 of 89
  • Computational Theory and Mathematics 233
  • Civil and Structural Engineering 136
  • Statistics, Probability and Uncertainty 42
  • Control and Systems Engineering 112
  • Artificial Intelligence 129
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Alan D. Christiansen United States
G. Narayana Naik India
Wensheng Xiao China
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Citations per year

Countries citing papers authored by Deepak Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201857
2 200638
3 201036
4 201233
5 201329
6 201525
7 200725
8 201325
9 201625
10 200724
11 201821
12 201719
13 201419
14 202019
15 201116
16 200816
17 201115
18 201315
19 201815
20 201814

About Deepak Sharma

Deepak Sharma is a scholar working on Computational Theory and Mathematics, Electrical and Electronic Engineering, Civil and Structural Engineering, Control and Systems Engineering and Computational Mechanics, having authored 69 papers that have together received 688 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (22 papers), Topology Optimization in Engineering (13 papers), Multilevel Inverters and Converters (12 papers), Advanced DC-DC Converters (11 papers), Metaheuristic Optimization Algorithms Research (9 papers), Microgrid Control and Optimization (8 papers), Advanced Numerical Methods in Computational Mathematics (8 papers) and Piezoelectric Actuators and Control (6 papers). The work is most often cited by research in Computational Theory and Mathematics (233 citations), Civil and Structural Engineering (136 citations), Statistics, Probability and Uncertainty (42 citations), Control and Systems Engineering (112 citations) and Artificial Intelligence (129 citations). Deepak Sharma has collaborated with scholars based in India, Singapore and United States. Frequent co-authors include Kalyanmoy Deb, N. N. Kishore, Dipti Srinivasan, Anupam Trivedi, Rajkumar Kaushik, Sachin Singh Gautam, Abdul Hamid Bhat, Chanan Singh, T. Logenthiran and Olle Inganäs. Their work appears in journals such as Swarm and Evolutionary Computation, Engineering Optimization, Journal of Computing and Information Science in Engineering, International Journal for Numerical Methods in Engineering and Applied Soft Computing.

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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