D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 44 Citations 7,623 308 World Ranking 2789 National Ranking 1028

Research.com Recognitions

Awards & Achievements

2018 - Fellow of the American Association for the Advancement of Science (AAAS)

2007 - IEEE Fellow For contributions to discrete event system modeling, control, diagnosis and applications

Overview

What is he best known for?

The fields of study he is best known for:

  • Programming language
  • Algorithm
  • Artificial intelligence

Supervisory control, Event, Theoretical computer science, Controllability and Control theory are his primary areas of study. Ratnesh Kumar brings together Supervisory control and Supervisor to produce work in his papers. His Theoretical computer science research is multidisciplinary, relying on both Discrete event dynamic system, Bounded function and Formal language.

Ratnesh Kumar has included themes like Nondeterministic algorithm and Algebra in his Controllability study. His Control theory research incorporates themes from Finite-state machine, Voltage droop and Automata theory. His work carried out in the field of Observability brings together such families of science as Event and Decentralised system.

His most cited work include:

  • A polynomial algorithm for testing diagnosability of discrete-event systems (340 citations)
  • Modeling and Control of Logical Discrete Event Systems (316 citations)
  • Decentralized failure diagnosis of discrete event systems (238 citations)

What are the main themes of his work throughout his whole career to date?

His primary scientific interests are in Supervisory control, Control theory, Theoretical computer science, Event and Supervisor. The various areas that Ratnesh Kumar examines in his Supervisory control study include Discrete mathematics, Nondeterministic algorithm, Control system, Controllability and Event. His Controllability research includes elements of Dynamical systems theory and Observability.

His Control theory and Discrete event dynamic system study in the realm of Control theory interacts with subjects such as Event. He combines subjects such as Algorithm, Inference, Secrecy and Distributed computing with his study of Theoretical computer science. Ratnesh Kumar works mostly in the field of Algorithm, limiting it down to topics relating to Temporal logic and, in certain cases, Linear temporal logic.

He most often published in these fields:

  • Supervisory control (25.23%)
  • Control theory (22.15%)
  • Theoretical computer science (21.85%)

What were the highlights of his more recent work (between 2017-2021)?

  • Graphene (3.08%)
  • Optoelectronics (2.77%)
  • Algorithm (14.15%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in Graphene, Optoelectronics, Algorithm, Set and Agricultural engineering. His research in Algorithm intersects with topics in Maximization, Leverage, Data-driven, Property and Relation. The Set study combines topics in areas such as Software architecture description, Generator, Cyber-physical system and Identification.

His work focuses on many connections between Software architecture description and other disciplines, such as Visualization, that overlap with his field of interest in Theoretical computer science. Ratnesh Kumar is involved in the study of Theoretical computer science that focuses on Automaton in particular. His Identification study combines topics from a wide range of disciplines, such as Tree, Industrial control system and Supervisory control.

Between 2017 and 2021, his most popular works were:

  • Maximum-Likelihood Sensor Node Localization Using Received Signal Strength in Multimedia With Multipath Characteristics (12 citations)
  • Integrated dual-modality microfluidic sensor for biomarker detection using lithographic plasmonic crystal. (11 citations)
  • A2G2V: Automatic Attack Graph Generation and Visualization and Its Applications to Computer and SCADA Networks (10 citations)

In his most recent research, the most cited papers focused on:

  • Programming language
  • Artificial intelligence
  • Algorithm

His primary scientific interests are in Graphene, Vibration, Nanotechnology, Biosensor and Cantilever. His Graphene study incorporates themes from Microfluidics, Dispersion and Working electrode, Electrochemistry, Electrochemical gas sensor. His studies deal with areas such as Optoelectronics, Plasmon and Lithography as well as Microfluidics.

His Electrochemical gas sensor study integrates concerns from other disciplines, such as Electrochemical detection and Chromatography. His Vibration research is multidisciplinary, incorporating elements of Nanogenerator, Electronic circuit, Rectifier, Inductor and Impedance matching. His Nanotechnology research integrates issues from Optical fiber and Analyte.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

A polynomial algorithm for testing diagnosability of discrete-event systems

Shengbing Jiang;Zhongdong Huang;V. Chandra;R. Kumar.
IEEE Transactions on Automatic Control (2001)

516 Citations

Modeling and Control of Logical Discrete Event Systems

Ratnesh Kumar;Vijay K. Garg.
(1994)

513 Citations

Decentralized failure diagnosis of discrete event systems

Wenbin Qiu;R. Kumar.
systems man and cybernetics (2006)

345 Citations

Formulas for calculating supremal controllable and normal sublanguages

R. D. Brandt;V. Garg;R. Kumar;F. Lin.
Systems & Control Letters (1990)

231 Citations

Failure diagnosis of discrete-event systems with linear-time temporal logic specifications

Shengbing Jiang;R. Kumar.
IEEE Transactions on Automatic Control (2004)

229 Citations

On controllability and normality of discrete event dynamical systems

Ratnesh Kumar;Vijay Garg;Steven I. Marcus.
Systems & Control Letters (1991)

191 Citations

Predicates and predicate transformers for supervisory control of discrete event dynamical systems

R. Kumar;V. Garg;S.I. Marcus.
IEEE Transactions on Automatic Control (1993)

175 Citations

Optimal sensor selection for discrete-event systems with partial observation

Shengbing Jiang;R. Kumar;H.E. Garcia.
IEEE Transactions on Automatic Control (2003)

155 Citations

Model Predictive Control-Based Real-Time Power System Protection Schemes

Licheng Jin;Ratnesh Kumar;Nicola Elia.
IEEE Transactions on Power Systems (2010)

138 Citations

Optimal Supervisory Control of Discrete Event DynamicalSystems

Ratnesh Kumar;Vijay K. Garg.
Siam Journal on Control and Optimization (1995)

130 Citations

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