K.S.P. Kumar

922 citations
41 papers · 696 · h-index 13

Impact in

Papers in

K.S.P. Kumar

38 papers receiving 629 citations

Peers

K.S.P. Kumar
Comparison fields: 5 of 86
  • Control and Systems Engineering 338
  • Numerical Analysis 49
  • Aerospace Engineering 207
  • Artificial Intelligence 202
  • Transportation 38
Replace Mario Edgardo Magana with:
Mario Edgardo Magana United States
Victor H. L. Cheng United States
Uros V. Kalabic United States
Leonardo Amaral Mozelli Brazil
Torsten Bohlin Sweden
Binbin Qiu China
Finn Ankersen Netherlands
Jacob Deleuran Grunnet Denmark
Srdjan S. Stanković Serbia
K.S.P. Kumar relative to Mario Edgardo Magana United States Mario Edgardo Magana's profile →
Citations per field
00.5×2×2.6×
Mario Edgardo Magana · 1×
Citations per year

Countries citing papers authored by K.S.P. Kumar

Since Specialization
Citations

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

Fields of papers citing papers by K.S.P. Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.S.P. Kumar. 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 K.S.P. Kumar. The network helps show where K.S.P. Kumar may publish in the future.

Co-authors

The 21 scholars most cited alongside K.S.P. Kumar, 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 K.S.P. Kumar Line = papers co-authored together K.S.P. Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984176
2 197167
3 196962
4 198255
5 196436
6 197429
7 198128
8 196526
9 197218
10 202117
11 202116
12 198616
13 196714
14 202112
15 198811
16 202211
17 198110
18 202210
19 196610
20 20229

About K.S.P. Kumar

K.S.P. Kumar is a scholar working on Control and Systems Engineering, Aerospace Engineering, Artificial Intelligence, Automotive Engineering and Electrical and Electronic Engineering, having authored 41 papers that have together received 696 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (7 papers), Control Systems and Identification (7 papers), Advanced Control Systems Optimization (6 papers), Adaptive Control of Nonlinear Systems (5 papers), Sensorless Control of Electric Motors (5 papers), Electric Motor Design and Analysis (5 papers), Control and Dynamics of Mobile Robots (4 papers) and Multilevel Inverters and Converters (3 papers). The work is most often cited by research in Control and Systems Engineering (338 citations), Numerical Analysis (49 citations), Aerospace Engineering (207 citations), Artificial Intelligence (202 citations) and Transportation (38 citations). K.S.P. Kumar has collaborated with scholars based in United States, Italy and Fiji. Frequent co-authors include L. Keviczky, Radhakrishnan Sridhar, Sheikh Izzal Azid, Adriano Fagiolini, Maurizio Cirrincione, Gary B. Lamont, Mario Marchesoni, Massimiliano Passalacqua, Luis Vaccaro and James M. Krause. Their work appears in journals such as International Journal of Control, IEEE Transactions on Automatic Control, Energies, Journal of Guidance Control and Dynamics and IEEE Transactions on Aerospace and Electronic 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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