M. Vidyasagar

11.7k citations
127 papers · 8.6k indexed · 3 hit papers · h-index 33
Topics
Stability and Control of Uncertain Systems (50 papers)Control and Stability of Dynamical Systems (37 papers)Stability and Controllability of Differential Equations (19 papers)
Partner nations
CanadaIndiaUnited States

In The Last Decade

M. Vidyasagar

123 papers receiving 7.9k citations

Hit Papers

Feedback Systems: Input-Output Properties197120261989200719751980197150010001.5k2.0k2.5k

Peers

M. Vidyasagar
Comparison fields: 5 of 120
  • Control and Systems Engineering 6.8k
  • Statistical and Nonlinear Physics 963
  • Computational Theory and Mathematics 839
  • Computer Networks and Communications 788
  • Numerical Analysis 733
Replace E.J. Davison with:
E.J. Davison Canada
C. Desoer United States
D.D. Šiljak United States
R. Brockett United States
Hassan K. Khalil United States
E.I. Jury United States
G. Zames Canada
Anders Rantzer Sweden
M. Vidyasagar India
George C. Verghese United States
M. Vidyasagar relative to E.J. Davison Canada E.J. Davison's profile →
Citations per field
00.5×1.5×
E.J. Davison · 1×
Citations per year

Countries citing papers authored by M. Vidyasagar

Since Specialization
Citations

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

Fields of papers citing papers by M. Vidyasagar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Vidyasagar

This figure shows the co-authorship network connecting the top 25 collaborators of M. Vidyasagar. A scholar is included among the top collaborators of M. Vidyasagar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Vidyasagar. M. Vidyasagar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 41
2 4
3 46
4 74
5 2
6 5
7 5
8 189
9 1
10
A parametrization of all stable stabilizing compensators for single-input-output systems
2
11 14
12 5
13 30
14 25
15 12
16 16
17 1
18 19
19 5
20 6

About M. Vidyasagar

M. Vidyasagar is a scholar working on Control and Systems Engineering, Numerical Analysis and Statistical and Nonlinear Physics, having authored 127 papers that have together received 8.6k indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (50 papers), Control and Stability of Dynamical Systems (37 papers) and Stability and Controllability of Differential Equations (19 papers). The work is most often cited by research in Control and Systems Engineering (6.8k citations), Numerical Analysis (733 citations) and Statistical and Nonlinear Physics (963 citations). M. Vidyasagar has collaborated with scholars based in Canada, India and United States. Frequent co-authors include C. Desoer, A.N. Willson, N. Viswanadham, Anthony Vannelli, Mark W. Spong, Hidenori Kimura, David Wang, Hans Schneider, Brian Francis and D. Wang. Their work appears in journals such as IEEE Transactions on Automatic Control, Proceedings of the IEEE and Automatica.

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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