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
Electronics and Electrical Engineering D-index 37 Citations 7,680 185 World Ranking 2170 National Ranking 143

Research.com Recognitions

Awards & Achievements

2020 - IEEE Fellow For contributions to tactile sensing

Overview

What is he best known for?

The fields of study he is best known for:

  • Electrical engineering
  • Artificial intelligence
  • Thermodynamics

The scientist’s investigation covers issues in Electronic skin, Robot, Tactile sensor, Flexible electronics and Artificial intelligence. Ravinder Dahiya works in the field of Robot, namely Robotics. His research in Robotics tackles topics such as Computer vision which are related to areas like Cognitive robotics, Robotic sensing and Soft robotics.

He has researched Tactile sensor in several fields, including Electronic circuit, Backplane, Field-effect transistor, Spin coating and MOSFET. His research integrates issues of Wafer, Polyimide and Electronics in his study of Flexible electronics. His Support vector machine study, which is part of a larger body of work in Artificial intelligence, is frequently linked to Software, bridging the gap between disciplines.

His most cited work include:

  • Tactile Sensing—From Humans to Humanoids (1013 citations)
  • Technologies for Printing Sensors and Electronics Over Large Flexible Substrates: A Review (583 citations)
  • Directions Toward Effective Utilization of Tactile Skin: A Review (256 citations)

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

Ravinder Dahiya mainly investigates Optoelectronics, Flexible electronics, Tactile sensor, Electrical engineering and Electronics. Ravinder Dahiya usually deals with Optoelectronics and limits it to topics linked to Transistor and Transducer. His work deals with themes such as Wearable technology, Electronic skin, Nanowire and Wafer, which intersect with Flexible electronics.

The various areas that he examines in his Electronic skin study include Robot and Robotics. His Tactile sensor study contributes to a more complete understanding of Artificial intelligence. His study in Electronics is interdisciplinary in nature, drawing from both Electronic circuit and Miniaturization.

He most often published in these fields:

  • Optoelectronics (25.81%)
  • Flexible electronics (21.61%)
  • Tactile sensor (21.61%)

What were the highlights of his more recent work (between 2019-2021)?

  • Optoelectronics (25.81%)
  • Flexible electronics (21.61%)
  • PEDOT:PSS (5.81%)

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

Ravinder Dahiya focuses on Optoelectronics, Flexible electronics, PEDOT:PSS, Nanotechnology and Composite material. His Optoelectronics research is multidisciplinary, incorporating elements of Field-effect transistor, ISFET and Nanogenerator. Ravinder Dahiya interconnects Transistor, Nanowire, Transfer printing and Electronics in the investigation of issues within Flexible electronics.

His Electronics study integrates concerns from other disciplines, such as Electronic skin and Wearable computer. His work in Nanotechnology covers topics such as Wearable systems which are related to areas like Potentiometric titration. His biological study spans a wide range of topics, including Electrical conductor, Resistive touchscreen and Tactile sensor.

Between 2019 and 2021, his most popular works were:

  • Metal oxides based electrochemical pH sensors: Current progress and future perspectives (45 citations)
  • A Wearable Supercapacitor Based on Conductive PEDOT:PSS-Coated Cloth and a Sweat Electrolyte. (44 citations)
  • Soft eSkin: distributed touch sensing with harmonized energy and computing. (36 citations)

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

  • Electrical engineering
  • Semiconductor
  • Artificial intelligence

His main research concerns Composite material, Graphene, Wearable computer, Optoelectronics and Nanotechnology. His Composite material study combines topics in areas such as Electrolyte and Supercapacitor. His Graphene research is multidisciplinary, incorporating perspectives in Analytical chemistry and Biosensor.

The concepts of his Wearable computer study are interwoven with issues in Computer hardware, Printed electronics, Tactile sensor, Actuator and Electromagnetic coil. Ravinder Dahiya is interested in Flexible electronics, which is a field of Optoelectronics. His work on Coating as part of general Nanotechnology research is frequently linked to Metal, bridging the gap between disciplines.

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

Tactile Sensing—From Humans to Humanoids

R.S. Dahiya;G. Metta;M. Valle;G. Sandini.
IEEE Transactions on Robotics (2010)

1357 Citations

Technologies for Printing Sensors and Electronics Over Large Flexible Substrates: A Review

Saleem Khan;Leandro Lorenzelli;Ravinder S. Dahiya.
IEEE Sensors Journal (2015)

836 Citations

Directions Toward Effective Utilization of Tactile Skin: A Review

Ravinder S. Dahiya;Philipp Mittendorfer;Maurizio Valle;Gordon Cheng.
IEEE Sensors Journal (2013)

326 Citations

Robotic Tactile Sensing: Technologies and System

Ravinder S. Dahiya;Maurizio Valle.
(2012)

298 Citations

Energy‐Autonomous, Flexible, and Transparent Tactile Skin

Carlos García Núñez;William Taube Navaraj;Emre O. Polat;Ravinder Dahiya.
Advanced Functional Materials (2017)

191 Citations

Flexible Tactile Sensors Using Screen-Printed P(VDF-TrFE) and MWCNT/PDMS Composites

Saleem Khan;Sajina Tinku;Leandro Lorenzelli;Ravinder S. Dahiya.
IEEE Sensors Journal (2015)

168 Citations

Piezoelectric oxide semiconductor field effect transistor touch sensing devices

Ravinder S. Dahiya;Giorgio Metta;Maurizio Valle;Andrea Adami.
Applied Physics Letters (2009)

158 Citations

Stretchable wireless system for sweat pH monitoring.

Wenting Dang;Libu Manjakkal;William Taube Navaraj;Leandro Lorenzelli.
Biosensors and Bioelectronics (2018)

145 Citations

Robotic Tactile Perception of Object Properties: A Review

Shan Luo;Shan Luo;Shan Luo;Joao Bimbo;Ravinder Dahiya;Hongbin Liu.
Mechatronics (2017)

144 Citations

New materials and advances in making electronic skin for interactive robots

Nivasan Yogeswaran;Wenting Dang;William Navaraj;Dhayalan Shakthivel.
Advanced Robotics (2015)

133 Citations

Best Scientists Citing Ravinder Dahiya

Gordon Cheng

Gordon Cheng

Technical University of Munich

Publications: 27

Zhong Lin Wang

Zhong Lin Wang

Georgia Institute of Technology

Publications: 24

Giorgio Metta

Giorgio Metta

Italian Institute of Technology

Publications: 24

Senentxu Lanceros-Méndez

Senentxu Lanceros-Méndez

Basque Center for Materials, Applications and Nanostructures

Publications: 23

Kaspar Althoefer

Kaspar Althoefer

Queen Mary University of London

Publications: 21

Subhas Chandra Mukhopadhyay

Subhas Chandra Mukhopadhyay

Macquarie University

Publications: 18

Zhenan Bao

Zhenan Bao

Stanford University

Publications: 14

Lorenzo Natale

Lorenzo Natale

Italian Institute of Technology

Publications: 13

Nitish V. Thakor

Nitish V. Thakor

National University of Singapore

Publications: 13

Ioannis Kymissis

Ioannis Kymissis

Columbia University

Publications: 12

Gerald E. Loeb

Gerald E. Loeb

University of Southern California

Publications: 12

Fuchun Sun

Fuchun Sun

Tsinghua University

Publications: 12

Emil M. Petriu

Emil M. Petriu

University of Ottawa

Publications: 12

Shigeki Sugano

Shigeki Sugano

Waseda University

Publications: 11

Wei Huang

Wei Huang

Nanjing Tech University

Publications: 11

Andrew Adamatzky

Andrew Adamatzky

University of the West of England

Publications: 10

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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