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
Engineering and Technology D-index 30 Citations 4,394 223 World Ranking 6902 National Ranking 278

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Control theory
  • Robotics

Mahdi Tavakoli mostly deals with Control theory, Teleoperation, Haptic technology, Simulation and Robot. His biological study spans a wide range of topics, including Control engineering and Tracking. His Teleoperation study combines topics in areas such as Passivity, Multi-agent system, Actuator, Transmission delay and Robustness.

He performs integrative study on Haptic technology and Context. Mahdi Tavakoli interconnects Robotic systems and Master/slave in the investigation of issues within Simulation. His study on Robot is covered under Artificial intelligence.

His most cited work include:

  • Nonlinear Disturbance Observer Design For Robotic Manipulators (215 citations)
  • High-Fidelity Bilateral Teleoperation Systems and the Effect of Multimodal Haptics (120 citations)
  • A force reflective master-slave system for minimally invasive surgery (107 citations)

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

Mahdi Tavakoli spends much of his time researching Teleoperation, Control theory, Haptic technology, Robot and Simulation. His Teleoperation research includes elements of Control engineering, Control system, Adaptive control and Telerobotics. Mobile robot is closely connected to Kinematics in his research, which is encompassed under the umbrella topic of Control theory.

Mahdi Tavakoli has included themes like Stability, Virtual reality, Human–computer interaction and Impedance control in his Haptic technology study. As a member of one scientific family, Mahdi Tavakoli mostly works in the field of Robot, focusing on Computer vision and, on occasion, Ultrasound. The various areas that Mahdi Tavakoli examines in his Simulation study include Robot end effector, Robotic systems, Master/slave and Deflection.

He most often published in these fields:

  • Teleoperation (42.64%)
  • Control theory (42.25%)
  • Haptic technology (38.37%)

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

  • Haptic technology (38.37%)
  • Robot (35.66%)
  • Human–computer interaction (14.34%)

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

His main research concerns Haptic technology, Robot, Human–computer interaction, Artificial intelligence and Teleoperation. His research integrates issues of Augmented reality and Admittance in his study of Haptic technology. His Robot research incorporates elements of Lyapunov stability, Kinematics, Task and Trajectory.

His Human–computer interaction research is multidisciplinary, incorporating perspectives in Control, Cognition and Eye tracking. His work on Robotics as part of his general Artificial intelligence study is frequently connected to Pandemic, thereby bridging the divide between different branches of science. The study incorporates disciplines such as Nonlinear control, Control theory, Control theory and Telerobotics in addition to Teleoperation.

Between 2019 and 2021, his most popular works were:

  • Robotics, Smart Wearable Technologies, and Autonomous Intelligent Systems for Healthcare During the COVID‐19 Pandemic: An Analysis of the State of the Art and Future Vision (52 citations)
  • Haptic Tele-Driving of Wheeled Mobile Robots Under Nonideal Wheel Rolling, Kinematic Control and Communication Time Delay (15 citations)
  • Intelligent Robotics Incorporating Machine Learning Algorithms for Improving Functional Capacity Evaluation and Occupational Rehabilitation. (7 citations)

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

  • Artificial intelligence
  • Control theory
  • Robotics

Mahdi Tavakoli mainly investigates Teleoperation, Robot, Artificial intelligence, Haptic technology and Pandemic. His Teleoperation study combines topics from a wide range of disciplines, such as Lyapunov stability, Trajectory, Control theory, Telerobotics and Work. The Control theory study combines topics in areas such as Space and Position tracking.

His work carried out in the field of Robot brings together such families of science as Actuator, Control reconfiguration, Simulation and Motor control. His Robotics study in the realm of Artificial intelligence connects with subjects such as Telerehabilitation. His Haptic technology research incorporates themes from Surgical skills and Surgical training.

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

Nonlinear Disturbance Observer Design For Robotic Manipulators

A. Mohammadi;M. Tavakoli;H.J. Marquez;F. Hashemzadeh.
Control Engineering Practice (2013)

295 Citations

Haptic interaction in robot-assisted endoscopic surgery: a sensorized end-effector.

Mahdi Tavakoli;Rajni Patel;Mehrdad Moallem.
International Journal of Medical Robotics and Computer Assisted Surgery (2005)

157 Citations

A force reflective master-slave system for minimally invasive surgery

M. Tavakoli;R.V. Patel;M. Moallem.
intelligent robots and systems (2003)

156 Citations

High-Fidelity Bilateral Teleoperation Systems and the Effect of Multimodal Haptics

M. Tavakoli;A. Aziminejad;R.V. Patel;M. Moallem.
systems man and cybernetics (2007)

148 Citations

Transparent Time-Delayed Bilateral Teleoperation Using Wave Variables

A. Aziminejad;M. Tavakoli;R.V. Patel;M. Moallem.
IEEE Transactions on Control Systems and Technology (2008)

132 Citations

Optimal Tuning of PID Controllers for First Order Plus Time Delay Models Using Dimensional Analysis

S. Tavakoli;M. Tavakoli.
international conference on control and automation (2003)

126 Citations

Haptics For Teleoperated Surgical Robotic Systems

M. Tavakoli.
(2008)

120 Citations

Robotics, Smart Wearable Technologies, and Autonomous Intelligent Systems for Healthcare During the COVID-19 Pandemic: An Analysis of the State of the Art and Future Vision

Mahdi Tavakoli;Jay Carriere;Ali Torabi.
Advanced Intelligent Systems (2020)

117 Citations

Issues in closed-loop needle steering

Carlos Rossa;Mahdi Tavakoli.
Control Engineering Practice (2017)

82 Citations

Methods and mechanisms for contact feedback in a robot-assisted minimally invasive environment

M. Tavakoli;M. Tavakoli;A. Aziminejad;A. Aziminejad;R. V. Patel;R. V. Patel;M. Moallem;M. Moallem.
Surgical Endoscopy and Other Interventional Techniques (2006)

81 Citations

Best Scientists Citing Mahdi Tavakoli

Kouhei Ohnishi

Kouhei Ohnishi

Keio University

Publications: 52

Rajni V. Patel

Rajni V. Patel

University of Western Ontario

Publications: 44

Heidar Ali Talebi

Heidar Ali Talebi

Amirkabir University of Technology

Publications: 35

Xinping Guan

Xinping Guan

Shanghai Jiao Tong University

Publications: 19

Changchun Hua

Changchun Hua

Yanshan University

Publications: 18

Allison M. Okamura

Allison M. Okamura

Stanford University

Publications: 15

Shafiqul Islam

Shafiqul Islam

Tufts University

Publications: 13

Kaspar Althoefer

Kaspar Althoefer

Queen Mary University of London

Publications: 13

Peter X. Liu

Peter X. Liu

Carleton University

Publications: 11

Lakmal Seneviratne

Lakmal Seneviratne

Khalifa University of Science and Technology

Publications: 11

Aiguo Song

Aiguo Song

Southeast University

Publications: 10

Domenico Prattichizzo

Domenico Prattichizzo

University of Siena

Publications: 9

Haiping Du

Haiping Du

University of Wollongong

Publications: 8

Chenguang Yang

Chenguang Yang

South China University of Technology

Publications: 8

Shuxiang Guo

Shuxiang Guo

Beijing Institute of Technology

Publications: 8

Nariman Sepehri

Nariman Sepehri

University of Manitoba

Publications: 8

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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