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 48 Citations 9,784 137 World Ranking 1277 National Ranking 583
Mechanical and Aerospace Engineering D-index 50 Citations 10,133 159 World Ranking 361 National Ranking 185

Research.com Recognitions

Awards & Achievements

2010 - IEEE Fellow For contributions to hyper-redundant manipulators

2008 - Fellow of the American Society of Mechanical Engineers

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Mathematical analysis
  • Statistics

Gregory S. Chirikjian mainly focuses on Control theory, Kinematics, Robot, Artificial intelligence and Motion planning. His studies deal with areas such as Robot kinematics, Inverse kinematics, Large numbers and Differential equation as well as Control theory. His biological study spans a wide range of topics, including Calculus of variations, Mathematical analysis, Simulation, Switched reluctance motor and Magnet.

Gregory S. Chirikjian combines subjects such as Control engineering and Topology with his study of Robot. His research integrates issues of Algorithm and Computer vision in his study of Artificial intelligence. His work deals with themes such as Exponential map and Nonholonomic system, which intersect with Motion planning.

His most cited work include:

  • Modular Self-Reconfigurable Robot Systems [Grand Challenges of Robotics] (670 citations)
  • Nonholonomic Modeling of Needle Steering (526 citations)
  • A modal approach to hyper-redundant manipulator kinematics (400 citations)

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

Gregory S. Chirikjian focuses on Artificial intelligence, Robot, Kinematics, Control theory and Algorithm. His Robotics and Robustness study in the realm of Artificial intelligence connects with subjects such as Terrain. His Robot study integrates concerns from other disciplines, such as Control engineering and Orientation.

His research investigates the connection with Kinematics and areas like Motion which intersect with concerns in Group. His Control theory study combines topics from a wide range of disciplines, such as Workspace, Inverse kinematics and Motion planning. His work in Algorithm covers topics such as Probability density function which are related to areas like Gaussian and Convolution.

He most often published in these fields:

  • Artificial intelligence (25.06%)
  • Robot (22.01%)
  • Kinematics (21.55%)

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

  • Artificial intelligence (25.06%)
  • Robot (22.01%)
  • Computer vision (11.71%)

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

The scientist’s investigation covers issues in Artificial intelligence, Robot, Computer vision, Kinematics and Algorithm. His work in Artificial intelligence addresses issues such as Pattern recognition, which are connected to fields such as Machine translation, Pixel and Curvature. His studies in Robot integrate themes in fields like Automation, Orientation, Position and Human–computer interaction.

His Kinematics research is multidisciplinary, incorporating elements of Mathematical analysis and Topology. His Algorithm research incorporates themes from Reliability and Interval. The concepts of his Control theory study are interwoven with issues in Lift and Lift.

Between 2017 and 2021, his most popular works were:

  • Deployable parallel lower-mobility manipulators with scissor-like elements (14 citations)
  • Deployable parallel lower-mobility manipulators with scissor-like elements (14 citations)
  • Probabilistic approaches to the ( AXB = YCZ ) calibration problem in multi-robot systems (10 citations)

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

  • Artificial intelligence
  • Statistics
  • Mathematical analysis

Artificial intelligence, Algorithm, Kinematics, Robot and Topology are his primary areas of study. Gregory S. Chirikjian has included themes like Automation and Computer vision in his Artificial intelligence study. His Algorithm research includes elements of Group theory, Reliability, Discretization and Homogeneous space.

The various areas that he examines in his Kinematics study include Motion, Three degrees of freedom, Degrees of freedom, Planar and Stiffness. Gregory S. Chirikjian works mostly in the field of Robot, limiting it down to topics relating to Orientation and, in certain cases, Affordance and Human–computer interaction, as a part of the same area of interest. The Topology study combines topics in areas such as Work, Workspace, Gravitational singularity and Degrees of freedom.

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

Modular Self-Reconfigurable Robot Systems [Grand Challenges of Robotics]

M. Yim;Wei-Min Shen;B. Salemi;D. Rus.
IEEE Robotics & Automation Magazine (2007)

845 Citations

Nonholonomic Modeling of Needle Steering

Robert J. Webster;Jin Seob Kim;Noah J. Cowan;Gregory S. Chirikjian.
The International Journal of Robotics Research (2006)

732 Citations

Engineering Applications of Noncommutative Harmonic Analysis: With Emphasis on Rotation and Motion Groups

Gregory S. Chirikjian;Alexander B. Kyatkin.
(2000)

589 Citations

A modal approach to hyper-redundant manipulator kinematics

G.S. Chirikjian;J.W. Burdick.
international conference on robotics and automation (1994)

563 Citations

The kinematics of hyper-redundant robot locomotion

G.S. Chirikjian;J.W. Burdick.
international conference on robotics and automation (1995)

446 Citations

Useful metrics for modular robot motion planning

A. Pamecha;I. Ebert-Uphoff;G.S. Chirikjian.
international conference on robotics and automation (1997)

344 Citations

Devices, systems and methods for minimally invasive surgery of the throat and other portions of mammalian body

Nabil Simaan;Russell H. Taylor;Paul Flint;Gregory Chirikjian.
(2004)

319 Citations

Kinematic design and commutation of a spherical stepper motor

G.S. Chirikjian;D. Stein.
IEEE-ASME Transactions on Mechatronics (1999)

319 Citations

Kinematically optimal hyper-redundant manipulator configurations

G.S. Chirikjian;J.W. Burdick.
international conference on robotics and automation (1992)

313 Citations

Kinematics of a metamorphic robotic system

G.S. Chirikjian.
international conference on robotics and automation (1994)

308 Citations

Best Scientists Citing Gregory S. Chirikjian

Daniela Rus

Daniela Rus

MIT

Publications: 72

Gabor Fichtinger

Gabor Fichtinger

Queen's University

Publications: 68

Robert J. Webster

Robert J. Webster

Vanderbilt University

Publications: 66

Shugen Ma

Shugen Ma

Ritsumeikan University

Publications: 58

Howie Choset

Howie Choset

Carnegie Mellon University

Publications: 52

Ian D. Walker

Ian D. Walker

Clemson University

Publications: 49

Satoshi Murata

Satoshi Murata

Tohoku University

Publications: 44

Sarthak Misra

Sarthak Misra

University of Twente

Publications: 39

Ron Alterovitz

Ron Alterovitz

University of North Carolina at Chapel Hill

Publications: 35

Mahdi Tavakoli

Mahdi Tavakoli

University of Alberta

Publications: 32

Allison M. Okamura

Allison M. Okamura

Stanford University

Publications: 32

Eiichi Yoshida

Eiichi Yoshida

National Institute of Advanced Industrial Science and Technology

Publications: 31

Russell H. Taylor

Russell H. Taylor

Johns Hopkins University

Publications: 30

Iulian Iordachita

Iulian Iordachita

Johns Hopkins University

Publications: 30

Mark Yim

Mark Yim

University of Pennsylvania

Publications: 30

Nabil Simaan

Nabil Simaan

Vanderbilt University

Publications: 30

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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