M.S. Verma

603 citations
25 papers · 427 indexed · h-index 11

M.S. Verma

21 papers receiving 393 citations

Peers

M.S. Verma
Comparison fields: 5 of 36
  • Numerical Analysis 82
  • Control and Systems Engineering 333
  • Statistical and Nonlinear Physics 106
  • Statistics, Probability and Uncertainty 43
  • Computational Theory and Mathematics 80
Replace Mark R. Opmeer with:
Mark R. Opmeer United Kingdom
Orest Iftime Netherlands
Denis Mustafa United Kingdom
Norio Fukuma Japan
H. Chapellat United States
Hideki Sano Japan
Cristian Oarâ Romania
Georg Vossen Germany
Qian Jiang China
Aristide Halanay Romania
M.S. Verma relative to Mark R. Opmeer United Kingdom Mark R. Opmeer's profile →
Citations per field
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Mark R. Opmeer · 1×
Citations per year

Countries citing papers authored by M.S. Verma

Since Specialization
Citations

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

Fields of papers citing papers by M.S. Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.S. Verma. 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 M.S. Verma. The network helps show where M.S. Verma may publish in the future.

Co-authorship network

The 13 scholars most cited alongside M.S. Verma, 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 M.S. Verma Line = papers co-authored together M.S. Verma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 200410
3 20030
4 20032
5 20030
6 199410
7 19936
8 199345
9 199217
10 199136
11 19911
12 19917
13 19901
14 19897
15 19881
16 198882
17 19872
18 198615
19 198530
20 198479

About M.S. Verma

M.S. Verma is a scholar working on Control and Systems Engineering, Statistical and Nonlinear Physics, Numerical Analysis, Statistics, Probability and Uncertainty and Mathematical Physics, having authored 25 papers that have together received 427 indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (12 papers), Model Reduction and Neural Networks (9 papers), Advanced Control Systems Optimization (7 papers), Control Systems and Identification (6 papers), Adaptive Control of Nonlinear Systems (5 papers), Numerical methods for differential equations (4 papers), Probabilistic and Robust Engineering Design (4 papers) and Stability and Controllability of Differential Equations (3 papers). The work is most often cited by research in Numerical Analysis (82 citations), Control and Systems Engineering (333 citations), Statistical and Nonlinear Physics (106 citations), Statistics, Probability and Uncertainty (43 citations) and Computational Theory and Mathematics (80 citations). M.S. Verma has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Edmond Jonckheere, L.R. Hunt, Michael G. Safonov, J. William Helton, Joseph A. Ball, Gilead Tadmor, Zaheeruddin Mohammed, Leiba Rodman, D.A. Linebarger and Rajni V. Patel. Their work appears in journals such as IEEE Transactions on Automatic Control, International Journal of Control, Theory of Computing Systems, Systems & Control Letters and Mathematics of Control Signals and 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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