D-Index & Metrics Best Publications

D-Index & Metrics

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
Computer Science D-index 65 Citations 13,666 342 World Ranking 1113 National Ranking 21

Research.com Recognitions

Awards & Achievements

2020 - Fellow, National Academy of Inventors

1996 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Internal medicine
  • Neuroscience

His main research concerns Artificial intelligence, Neuroscience, Electroencephalography, Speech recognition and Computer vision. His work carried out in the field of Artificial intelligence brings together such families of science as Decoding methods, Task, Brain–computer interface and Pattern recognition. His study explores the link between Neuroscience and topics such as Biomedical engineering that cross with problems in Speckle pattern.

His Electroencephalography course of study focuses on Asphyxia and Electrophysiology. He works mostly in the field of Speech recognition, limiting it down to concerns involving Algorithm and, occasionally, Wavelet, Ventricular tachycardia and Ventricular fibrillation. His Computer vision study integrates concerns from other disciplines, such as Endoscope and Biomechanics.

His most cited work include:

  • Applications of adaptive filtering to ECG analysis: noise cancellation and arrhythmia detection (712 citations)
  • Cellular effects of deep brain stimulation: model-based analysis of activation and inhibition. (679 citations)
  • Electric field and stimulating influence generated by deep brain stimulation of the subthalamic nucleus (464 citations)

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

Nitish V. Thakor mainly investigates Artificial intelligence, Electroencephalography, Neuroscience, Biomedical engineering and Pattern recognition. Nitish V. Thakor interconnects Machine learning, Decoding methods and Computer vision in the investigation of issues within Artificial intelligence. His biological study spans a wide range of topics, including Anesthesia, Asphyxia and Speech recognition.

Anesthesia is closely attributed to Ischemia in his research. He has included themes like Signal and Signal processing in his Speech recognition study. Neurophysiology, Stimulation, Somatosensory evoked potential, Somatosensory system and Thalamus are among the areas of Neuroscience where the researcher is concentrating his efforts.

He most often published in these fields:

  • Artificial intelligence (22.39%)
  • Electroencephalography (18.56%)
  • Neuroscience (18.83%)

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

  • Artificial intelligence (22.39%)
  • Electroencephalography (18.56%)
  • Biomedical engineering (14.08%)

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

His primary areas of investigation include Artificial intelligence, Electroencephalography, Biomedical engineering, Stimulation and Neuroscience. His Artificial intelligence research incorporates themes from Computer vision and Pattern recognition. His work deals with themes such as Cognition, Sensory stimulation therapy, Task analysis and Perception, which intersect with Electroencephalography.

The Biomedical engineering study combines topics in areas such as Photoacoustic imaging in biomedicine, Contrast, Ultrasound, Triboelectric effect and Actuator. His study looks at the intersection of Stimulation and topics like Prosthesis with Electromyography and Pattern recognition. All of his Neuroscience and Sensory system and Inhibitory postsynaptic potential investigations are sub-components of the entire Neuroscience study.

Between 2017 and 2021, his most popular works were:

  • Prosthesis with neuromorphic multilayered e-dermis perceives touch and pain. (96 citations)
  • Polymer-based composites by electrospinning: Preparation & functionalization with nanocarbons (77 citations)
  • Polymer-based composites by electrospinning: Preparation & functionalization with nanocarbons (77 citations)

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

  • Artificial intelligence
  • Internal medicine
  • Neuroscience

His primary areas of study are Biomedical engineering, Stimulation, Artificial intelligence, Electroencephalography and Photon upconversion. His Biomedical engineering study combines topics from a wide range of disciplines, such as Muscle Stimulation, Triboelectric effect, Electrical muscle stimulation, Magnetic resonance imaging and Actuator. His research integrates issues of Peripheral nerve and Urology in his study of Stimulation.

His studies link Pattern recognition with Artificial intelligence. His Electroencephalography study incorporates themes from Spectral density, Degree, Algorithm, Sample entropy and Discriminative model. His study in Photon upconversion is interdisciplinary in nature, drawing from both Biological neural network and Light attenuation.

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

Applications of adaptive filtering to ECG analysis: noise cancellation and arrhythmia detection

N.V. Thakor;Y.-S. Zhu.
IEEE Transactions on Biomedical Engineering (1991)

1022 Citations

Cellular effects of deep brain stimulation: model-based analysis of activation and inhibition.

Cameron C. McIntyre;Warren M. Grill;David L. Sherman;Nitish V. Thakor.
Journal of Neurophysiology (2004)

777 Citations

Estimation of QRS Complex Power Spectra for Design of a QRS Filter

Nitish V. Thakor;John G. Webster;Willis J. Tompkins.
IEEE Transactions on Biomedical Engineering (1984)

548 Citations

Electric field and stimulating influence generated by deep brain stimulation of the subthalamic nucleus

Cameron C. McIntyre;Susumu Mori;David L. Sherman;Nitish V. Thakor.
Clinical Neurophysiology (2004)

540 Citations

Detecting ventricular tachycardia and fibrillation by complexity measure

Xu-Sheng Zhang;Yi-Sheng Zhu;N.V. Thakor;Zhi-Zhong Wang.
IEEE Transactions on Biomedical Engineering (1999)

405 Citations

Implantable myocardial ischemia detection, indication and action technology

Ananth Natarajan;Nitish V. Thakor.
(1999)

394 Citations

Power harvesting and telemetry in CMOS for implanted devices

C. Sauer;M. Stanacevic;G. Cauwenberghs;N. Thakor.
ieee international workshop on biomedical circuits and systems (2004)

324 Citations

Decoding of Individuated Finger Movements Using Surface Electromyography

F.V.G. Tenore;A. Ramos;A. Fahmy;S. Acharya.
IEEE Transactions on Biomedical Engineering (2009)

324 Citations

Advances in Quantitative Electroencephalogram Analysis Methods

Nitish V. Thakor;Shanbao Tong.
Annual Review of Biomedical Engineering (2004)

318 Citations

Parkin facilitates the elimination of expanded polyglutamine proteins and leads to preservation of proteasome function.

Yien Che Tsai;Paul S. Fishman;Nitish V. Thakor;George A. Oyler.
Journal of Biological Chemistry (2003)

315 Citations

Editorial Boards

Best Scientists Citing Nitish V. Thakor

Cameron C. McIntyre

Cameron C. McIntyre

Case Western Reserve University

Publications: 72

Warren M. Grill

Warren M. Grill

Duke University

Publications: 56

U. Rajendra Acharya

U. Rajendra Acharya

Ngee Ann Polytechnic

Publications: 48

Dario Farina

Dario Farina

Imperial College London

Publications: 43

Fabio Babiloni

Fabio Babiloni

Sapienza University of Rome

Publications: 42

Chengkuo Lee

Chengkuo Lee

National University of Singapore

Publications: 39

Ben Zhong Tang

Ben Zhong Tang

Chinese University of Hong Kong, Shenzhen

Publications: 36

Cameron N. Riviere

Cameron N. Riviere

Carnegie Mellon University

Publications: 31

Roberto Hornero

Roberto Hornero

University of Valladolid

Publications: 30

Yong Hu

Yong Hu

University of Hong Kong

Publications: 30

Nathan E. Crone

Nathan E. Crone

Johns Hopkins University

Publications: 30

Pablo Laguna

Pablo Laguna

University of Zaragoza

Publications: 29

Bin Liu

Bin Liu

Nanjing University

Publications: 29

Christian Cipriani

Christian Cipriani

Sant'Anna School of Advanced Studies

Publications: 27

Silvestro Micera

Silvestro Micera

Sant'Anna School of Advanced Studies

Publications: 27

Jerrold L. Vitek

Jerrold L. Vitek

University of Minnesota

Publications: 27

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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