M. Vidyasagar

10.9k total citations · 3 hit papers
141 papers, 7.5k citations indexed

About

M. Vidyasagar is a scholar working on Artificial Intelligence, Control and Systems Engineering and Molecular Biology. According to data from OpenAlex, M. Vidyasagar has authored 141 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Artificial Intelligence, 38 papers in Control and Systems Engineering and 26 papers in Molecular Biology. Recurrent topics in M. Vidyasagar's work include Neural Networks and Applications (20 papers), Machine Learning and Algorithms (16 papers) and Control Systems and Identification (14 papers). M. Vidyasagar is often cited by papers focused on Neural Networks and Applications (20 papers), Machine Learning and Algorithms (16 papers) and Control Systems and Identification (14 papers). M. Vidyasagar collaborates with scholars based in India, United States and Canada. M. Vidyasagar's co-authors include Seth Hutchinson, Mark W. Spong, S. H. Johnson, George Williams, Jan C. Willems, Hans Schneider, Susanta Dutta, Vincent D. Blondel, D. Wang and Rajeeva L. Karandikar and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Automatic Control.

In The Last Decade

M. Vidyasagar

138 papers receiving 7.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Robot Modeling and Control

2006 2.4k citations M. Vidyasagar et al. profile →
Nonlinear Systems Analysis

1978 1.4k citations M. Vidyasagar et al. profile →
Nonlinear Systems Analysis

2002 606 citations M. Vidyasagar profile →

Peers

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Convergence Rates for Stochastic Approximation: Biased Noise with Unbounded Variance, and Applications 2024 ·Journal of Optimization Theory and Applications ·(unknown), M. Vidyasagar	1
2	A prospective evaluation of breast thermography enhanced by a novel machine learning technique for screening breast abnormalities in a general population of women presenting to a secondary care hospital 2023 ·Frontiers in Artificial Intelligence ·(unknown), (unknown), Lakshmi Krishnan, Bharat B. Aggarwal, M. Vidyasagar, (unknown), (unknown)	6
3	Modelling the spread of SARS-CoV-2 pandemic - Impact of lockdowns & interventions 2021 ·The Indian Journal of Medical Research ·Manindra Agrawal, Madhuri Kanitkar, M. Vidyasagar	16
4	Modelling the COVID-19 Pandemic: Asymptomatic Patients, Lockdown and Herd Immunity 2020 ·IFAC-PapersOnLine ·Santosh Ansumali, (unknown), Aloke Kumar, Meher K. Prakash, M. Vidyasagar	2
5	A Review on the Challenges in Indian Genomics Research for Variant Identification and Interpretation 2020 ·Frontiers in Genetics ·(unknown), (unknown), (unknown), M. Vidyasagar, (unknown)	8
6	Estimating the herd immunity threshold by accounting for the hidden asymptomatics using a COVID-19 specific model 2020 ·PLoS ONE ·(unknown), (unknown), S. Bhattacharya, M. Vidyasagar, Aloke Kumar, (unknown), Santosh Ansumali	12
7	Inferring Genome-Wide Interaction Networks Using the Phi-Mixing Coefficient, and Applications to Lung and Breast Cancer 2018 ·IEEE Transactions on Molecular Biological and Multi-Scale Communications ·Nitin K. Singh, Mehmet Eren Ahsen, (unknown), Hyunseok Kim, Michael A. White, M. Vidyasagar	4
8	Sparse feature selection for classification and prediction of metastasis in endometrial cancer 2017 ·BMC Genomics ·Mehmet Eren Ahsen, Todd Boren, Nitin K. Singh, Burook Misganaw, David G. Mutch, Kathleen N. Moore, Floor Backes, Carolyn K. McCourt, Jayanthi Lea, David S. Miller, Michael A. White, M. Vidyasagar	19
9	Metrics Between Probability Distributions on Finite Sets of Different Cardinalities by Maximizing Mutual Information (MMI) 2011 ·arXiv (Cornell University) ·M. Vidyasagar	2
10	A learning theory approach to system identification and stochastic adaptive control 2007 ·Journal of Process Control ·M. Vidyasagar, Rajeeva L. Karandikar	20
11	Convergence of higher-order neural networks with modified updating 2002 ·IEEE International Conference on Neural Networks ·M. Vidyasagar	0
12	Synthesis of fault-tolerant feedforward neural networks using minimax optimization 1998 ·IEEE Transactions on Neural Networks ·Dipti Deodhare, M. Vidyasagar, (unknown)	33
13	A Theory of Learning and Generalization: With Applications to Neural Networks and Control Systems 1997 ·Springer eBooks ·M. Vidyasagar	166
14	Dynamical Systems, Gradient Flows and Optimization 1995 ·M. Vidyasagar	2
15	Nonlinear systems analysis (2nd ed.) 1993 ·Prentice-Hall, Inc eBooks ·M. Vidyasagar	316
16	Bounded input H2-optimal feedback control of linear systems with application to the control of a flexible beam 1993 ·National University of Singapore ·Hariharan Krishnan, M. Vidyasagar	1
17	Location and stability of the high-gain equilibria of nonlinear neural networks 1993 ·IEEE Transactions on Neural Networks ·M. Vidyasagar	44
18	Adaptive robust regulation of linear multivariable systems: Tracking signals generated by models with unknown parameters 1978 ·Bruce A. Francis, M. Vidyasagar	9
19	ITERATIVE QUADRATIC OPTIMIZATION OF NONLINEAR TIME-LAG CONTROL SYSTEMS. 1973 ·IEEE Transactions on Automatic Control ·M. Vidyasagar, Serge Gracovetsky	1
20	General necessary conditions for input-output stability 1971 ·Proceedings of the IEEE ·C. Desoer, M. Vidyasagar	12

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.

Explore authors with similar magnitude of impact