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 33 Citations 4,757 146 World Ranking 4434 National Ranking 302

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Control theory

Saptarshi Das spends much of his time researching Control theory, PID controller, Control theory, Robustness and Fuzzy logic. Control theory is frequently linked to Electric power system in his study. His PID controller research integrates issues from Control system, Chaotic and Mathematical optimization, Optimal control.

His study looks at the relationship between Chaotic and fields such as Multi-objective optimization, as well as how they intersect with chemical problems. His research integrates issues of Genetic algorithm and Optimization problem in his study of Control theory. Saptarshi Das usually deals with Robustness and limits it to topics linked to Control engineering and Hybrid power, Frequency domain and Particle swarm optimization.

His most cited work include:

  • Tuning of an optimal fuzzy PID controller with stochastic algorithms for networked control systems with random time delay. (196 citations)
  • A novel fractional order fuzzy PID controller and its optimal time domain tuning based on integral performance indices (164 citations)
  • On the selection of tuning methodology of FOPID controllers for the control of higher order processes. (162 citations)

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

Saptarshi Das focuses on Control theory, PID controller, Control theory, Artificial intelligence and Control system. His study focuses on the intersection of Control theory and fields such as Particle swarm optimization with connections in the field of Hybrid power. His biological study spans a wide range of topics, including Time domain, Optimal control, Chaotic, Open-loop controller and Fuzzy logic.

His work on Fractional-order control as part of general Control theory research is frequently linked to Nuclear reactor, bridging the gap between disciplines. His Artificial intelligence study combines topics from a wide range of disciplines, such as Machine learning, Electroencephalography and Pattern recognition. His Control system study incorporates themes from Sorting and Linear matrix inequality.

He most often published in these fields:

  • Control theory (61.08%)
  • PID controller (32.51%)
  • Control theory (22.66%)

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

  • Artificial intelligence (15.76%)
  • Network packet (10.84%)
  • Control theory (61.08%)

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

His primary areas of study are Artificial intelligence, Network packet, Control theory, PID controller and Pattern recognition. His studies in Artificial intelligence integrate themes in fields like Machine learning and QRS complex. He regularly ties together related areas like Permanent magnet synchronous generator in his Control theory studies.

His study connects Observer and PID controller. His research in the fields of Independent component analysis overlaps with other disciplines such as Autism spectrum disorder. Saptarshi Das works mostly in the field of Control theory, limiting it down to topics relating to Energy storage and, in certain cases, Smart grid.

Between 2017 and 2021, his most popular works were:

  • Structural damage identification using image‐based pattern recognition on event‐based binary data generated from self‐powered sensor networks (17 citations)
  • Multimodal Functional and Structural Brain Connectivity Analysis in Autism: A Preliminary Integrated Approach With EEG, fMRI, and DTI (9 citations)
  • Data mining methodology employing artificial intelligence and a probabilistic approach for energy-efficient structural health monitoring with noisy and delayed signals (7 citations)

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

  • Artificial intelligence
  • Statistics
  • Machine learning

Saptarshi Das mostly deals with Identification, Artificial intelligence, Pattern recognition, Structural health monitoring and Wireless sensor network. He has researched Identification in several fields, including Energy, Electronic engineering, Data transmission and Signal. The concepts of his Artificial intelligence study are interwoven with issues in Electroencephalography and Pattern recognition.

He combines subjects such as EEG-fMRI, Functional magnetic resonance imaging and Neuroimaging with his study of Pattern recognition. His Pattern recognition research includes elements of Intelligent decision support system, Expert system and Energy consumption. His work carried out in the field of Structural health monitoring brings together such families of science as Probabilistic logic, Data mining and Sensor fusion.

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

Tuning of an optimal fuzzy PID controller with stochastic algorithms for networked control systems with random time delay.

Indranil Pan;Saptarshi Das;Amitava Gupta.
Isa Transactions (2011)

265 Citations

A novel fractional order fuzzy PID controller and its optimal time domain tuning based on integral performance indices

Saptarshi Das;Indranil Pan;Shantanu Das;Amitava Gupta.
Engineering Applications of Artificial Intelligence (2012)

219 Citations

On the selection of tuning methodology of FOPID controllers for the control of higher order processes.

Saptarshi Das;Suman Saha;Suman Saha;Shantanu Das;Amitava Gupta.
Isa Transactions (2011)

210 Citations

Fractional order fuzzy control of hybrid power system with renewable generation using chaotic PSO.

Indranil Pan;Saptarshi Das;Saptarshi Das.
Isa Transactions (2016)

186 Citations

Fractional Order Signal Processing: Introductory Concepts and Applications

Saptarshi Das;Indranil Pan.
(2011)

183 Citations

Chaotic multi-objective optimization based design of fractional order PIλDμ controller in AVR system

Indranil Pan;Indranil Pan;Saptarshi Das.
International Journal of Electrical Power & Energy Systems (2012)

159 Citations

Intelligent Fractional Order Systems and Control: An Introduction

Indranil Pan;Saptarshi Das.
(2012)

147 Citations

Frequency domain design of fractional order PID controller for AVR system using chaotic multi-objective optimization

Indranil Pan;Saptarshi Das;Saptarshi Das.
International Journal of Electrical Power & Energy Systems (2013)

128 Citations

Kriging Based Surrogate Modeling for Fractional Order Control of Microgrids

Indranil Pan;Saptarshi Das.
IEEE Transactions on Smart Grid (2015)

122 Citations

Fractional Order AGC for Distributed Energy Resources Using Robust Optimization

Indranil Pan;Saptarshi Das.
IEEE Transactions on Smart Grid (2016)

117 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing Saptarshi Das

Sidhartha Panda

Sidhartha Panda

Veer Surendra Sai University of Technology

Publications: 18

Ahmed G. Radwan

Ahmed G. Radwan

Cairo University

Publications: 16

Mohammad Hassan Khooban

Mohammad Hassan Khooban

Aarhus University

Publications: 14

Xinguang Zhang

Xinguang Zhang

Yantai University

Publications: 9

Ahmed S. Elwakil

Ahmed S. Elwakil

University of Sharjah

Publications: 9

YangQuan Chen

YangQuan Chen

University of California, Merced

Publications: 8

Diyi Chen

Diyi Chen

Northwest A&F University

Publications: 8

Jinde Cao

Jinde Cao

Southeast University

Publications: 7

J. A. Tenreiro Machado

J. A. Tenreiro Machado

Polytechnic Institute of Porto

Publications: 7

Maamar Bettayeb

Maamar Bettayeb

University of Sharjah

Publications: 7

Jianzhong Zhou

Jianzhong Zhou

Huazhong University of Science and Technology

Publications: 6

Anil Kumar

Anil Kumar

Indian Institute of Information Technology Design and Manufacturing Jabalpur

Publications: 6

Dumitru Baleanu

Dumitru Baleanu

Çankaya University

Publications: 6

Kazem Zare

Kazem Zare

University of Tabriz

Publications: 6

Girish Kumar Singh

Girish Kumar Singh

Indian Institute of Technology Roorkee

Publications: 6

Tomislav Dragicevic

Tomislav Dragicevic

Technical University of Denmark

Publications: 6

Trending Scientists

Bulent Sankur

Bulent Sankur

Boğaziçi University

Alexander Zipf

Alexander Zipf

Heidelberg University

Luca Schenato

Luca Schenato

University of Padua

K. De Meyer

K. De Meyer

KU Leuven

Toshiharu Teranishi

Toshiharu Teranishi

Kyoto University

Danny Huylebroeck

Danny Huylebroeck

Erasmus MC

Stefano Allesina

Stefano Allesina

University of Chicago

Michael D. Gunn

Michael D. Gunn

Duke University

Michael Collins

Michael Collins

National Oceanography Centre

James C. Orr

James C. Orr

Centre national de la recherche scientifique, CNRS

Todd Sowers

Todd Sowers

Pennsylvania State University

Olivier Halfon

Olivier Halfon

University of Lausanne

Amy J. Jak

Amy J. Jak

University of California, San Diego

Elemer Szabadi

Elemer Szabadi

University of Nottingham

Amos D. Korczyn

Amos D. Korczyn

Tel Aviv University

Lawrence A. Leiter

Lawrence A. Leiter

University of Toronto

Something went wrong. Please try again later.