The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Mathukumalli Vidyasagar sits on this spectrum.
This scientist: 286 publications — 54th percentile
54% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 1,065 publications or more.
The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Mathukumalli Vidyasagar sits on this spectrum.
This scientist: 56 D-Index — 71st percentile
71% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 111 D-Index or more.
Mathukumalli Vidyasagar is affiliated with the Indian Institute of Technology Hyderabad in India. Their research spans several fields including Economics, Econometrics and Finance; Decision Sciences; and Mathematics. This multidisciplinary focus reflects an engagement with both theoretical and applied aspects of their work.
Their academic contributions cover various subfields such as Finance, Management Science and Operations Research, and Statistics and Probability. This breadth highlights an intersection of quantitative and decision-making methodologies.
Specific topics of interest in Vidyasagar's research include stochastic processes and financial applications, simulation techniques and applications, as well as Markov chains and Monte Carlo methods. These areas suggest a focus on probabilistic modeling and computational approaches relevant to finance and operations.
While detailed publication records are not provided, these topics guide the thematic scope of the published work. There are no listed frequent co-authors or recurring publication venues associated with their research.
They have been recognized with several awards including being named a Fellow of the International Federation of Automatic Control (IFAC) in 2014 and a Fellow of the Royal Society, United Kingdom, in 2012. Additionally, they received the Rufus Oldenburger Medal from The American Society of Mechanical Engineers in 2012 and the IEEE Control Systems Award in 2008 for contributions spanning control science, robust control, robotics, and statistical learning theory.
The range of awards reflects recognition across several domains including automatic control, mechanical engineering, and broader scientific excellence. Vidyasagar's work involves an interplay of theoretical insights and practical applications in systems control and computational finance.
Mark W. Spong;Seth Hutchinson;M. Vidyasagar
M. Vidyasagar;C. A. Desoer
Charles A. Desoer;M. Vidyasagar
Mathukumalli Vidyasagar
Mathukumalli Vidyasagar
M. Vidyasagar;S. H. Johnson
M. Vidyasagar
M. Vidyasagar
M. Vidyasagar;N. Viswanadham
Mathukumalli Vidyasagar
A. Vannelli;M. Vidyasagar
David Wang;M. Vidyasagar
M Vidyasagar;H Kimura
M. Vidyasagar;Hans Schneider;Bruce Francis
M. Vidyasagar
M. Spong;M. Vidyasagar
M. Vidyasagar
M. Vidyasagar
M. Vidyasagar
M. Vidyasagar
Sankar Basu;Guanrong Chen;Andreas G. Andreou
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