Narendra Kumar Dhar

645 citations
31 papers · 424 · h-index 10

Impact in

Papers in

Narendra Kumar Dhar

26 papers receiving 415 citations

Peers

Narendra Kumar Dhar
Comparison fields: 5 of 66
  • Control and Systems Engineering 235
  • Computer Networks and Communications 108
  • Computer Vision and Pattern Recognition 96
  • Media Technology 37
  • Computational Theory and Mathematics 63
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Citations per field
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Citations per year

Countries citing papers authored by Narendra Kumar Dhar

Since Specialization
Citations

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

Fields of papers citing papers by Narendra Kumar Dhar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Narendra Kumar Dhar, 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 Narendra Kumar Dhar Line = papers co-authored together Narendra Kumar Dhar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201879
2 201775
3 201955
4 201937
5 201825
6 202023
7 202116
8 202316
9 202011
10 201610
11 20179
12 20219
13 20227
14 20157
15 20176
16 20166
17 20166
18 20185
19 20165
20 20214

About Narendra Kumar Dhar

Narendra Kumar Dhar is a scholar working on Control and Systems Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Electrical and Electronic Engineering, having authored 31 papers that have together received 424 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (11 papers), Distributed Control Multi-Agent Systems (9 papers), Robotic Path Planning Algorithms (7 papers), Adaptive Dynamic Programming Control (5 papers), Advanced Control Systems Optimization (4 papers), Stability and Control of Uncertain Systems (3 papers), Robotics and Sensor-Based Localization (3 papers) and Control and Dynamics of Mobile Robots (3 papers). The work is most often cited by research in Control and Systems Engineering (235 citations), Computer Networks and Communications (108 citations), Computer Vision and Pattern Recognition (96 citations), Media Technology (37 citations) and Computational Theory and Mathematics (63 citations). Narendra Kumar Dhar has collaborated with scholars based in India, United States and Russia. Frequent co-authors include Nishchal K. Verma, Laxmidhar Behera, Aquib Mustafa, Pooja Agrawal, Vikas Singh, Pankaj Kumar Mishra, Larisa Rybak, Ashish R. Hota, Vaibhav Srivastava and Al Salour. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Systems Journal, IEEE Transactions on Industrial Informatics, IEEE Transactions on Control of Network Systems and IEEE Transactions on Fuzzy 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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