H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 49 Citations 9,810 623 World Ranking 3007 National Ranking 132

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Operating system
  • Programming language

His primary areas of investigation include Artificial intelligence, Robot, Simulation, Computer vision and Human–computer interaction. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Context, Machine learning and Field. His research investigates the connection between Robot and topics such as Task that intersect with issues in Trajectory, Robot kinematics and Control theory.

Alois Knoll has included themes like Electric vehicle, Traffic simulation, Robotic surgery and Articulated robot in his Simulation study. His Computer vision research focuses on subjects like Industrial robot, which are linked to Perception. His Human–computer interaction research incorporates themes from Situated, Benchmark, Natural language and Social robot.

His most cited work include:

  • Gradient boosting machines, a tutorial. (489 citations)
  • A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks (148 citations)
  • The Human Brain Project: Creating a European Research Infrastructure to Decode the Human Brain (126 citations)

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

The scientist’s investigation covers issues in Artificial intelligence, Robot, Computer vision, Simulation and Control engineering. His Artificial intelligence study integrates concerns from other disciplines, such as Machine learning, Task and Pattern recognition. The various areas that Alois Knoll examines in his Robot study include Control theory and Human–computer interaction.

Computer vision is often connected to Robustness in his work. Alois Knoll specializes in Simulation, namely Haptic technology. His primary area of study in Fuzzy logic is in the field of Fuzzy control system.

He most often published in these fields:

  • Artificial intelligence (34.64%)
  • Robot (20.32%)
  • Computer vision (16.20%)

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

  • Artificial intelligence (34.64%)
  • Robot (20.32%)
  • Computer vision (16.20%)

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

Alois Knoll focuses on Artificial intelligence, Robot, Computer vision, Artificial neural network and Reinforcement learning. His work in Artificial intelligence addresses issues such as Machine learning, which are connected to fields such as Task. His work carried out in the field of Robot brings together such families of science as End-to-end principle, Control engineering, Control theory and Robotic arm.

Control theory is a subfield of Control theory that Alois Knoll tackles. His Computer vision study combines topics from a wide range of disciplines, such as Frame and Optical coherence tomography. The study incorporates disciplines such as Model predictive control and Trajectory in addition to Artificial neural network.

Between 2017 and 2021, his most popular works were:

  • A Survey of Robotics Control Based on Learning-Inspired Spiking Neural Networks. (50 citations)
  • Improved recurrent neural network-based manipulator control with remote center of motion constraints: Experimental results. (41 citations)
  • OPC UA versus ROS, DDS, and MQTT: Performance Evaluation of Industry 4.0 Protocols (41 citations)

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

  • Artificial intelligence
  • Operating system
  • Programming language

Alois Knoll spends much of his time researching Artificial intelligence, Robot, Computer vision, Neuromorphic engineering and Reinforcement learning. His Artificial intelligence research includes elements of Field and Machine learning. Alois Knoll has researched Robot in several fields, including Orientation, Tracking, Process and Software.

His biological study spans a wide range of topics, including Frame, Microsurgery, Convolutional neural network and Optical coherence tomography. In his study, Hyperparameter optimization, Parameterized complexity, Degrees of freedom and Gait is inextricably linked to Control theory, which falls within the broad field of Reinforcement learning. His Artificial neural network research incorporates elements of Generalization, Trajectory and Mobile robot.

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.

Top Publications

Gradient boosting machines, a tutorial.

Alexey Natekin;Alois C. Knoll.
Frontiers in Neurorobotics (2013)

740 Citations

A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks

H. Mayer;F. Gomez;D. Wierstra;I. Nagy.
intelligent robots and systems (2006)

218 Citations

Human-robot interaction in handing-over tasks

M. Huber;M. Rickert;A. Knoll;T. Brandt.
robot and human interactive communication (2008)

193 Citations

The Human Brain Project: Creating a European Research Infrastructure to Decode the Human Brain

Katrin Amunts;Katrin Amunts;Christoph Ebell;Jeff Muller;Martin Telefont.
Neuron (2016)

182 Citations

Introducing the Human Brain Project

Henry Markram;Karlheinz Meier;Thomas Lippert;Sten Grillner.
future technologies conference (2011)

171 Citations

PM-Huber: PatchMatch with Huber Regularization for Stereo Matching

Philipp Heise;Sebastian Klose;Brian Jensen;Alois Knoll.
international conference on computer vision (2013)

147 Citations

Energy optimization for real-time multiprocessor system-on-chip with optimal DVFS and DPM combination

Gang Chen;Kai Huang;Alois Knoll.
ACM Transactions in Embedded Computing Systems (2014)

145 Citations

Cerebral glucose metabolism in patients with AD and different APOE genotypes.

A. Drzezga;M. Riemenschneider;B. Strassner;T. Grimmer.
Neurology (2005)

140 Citations

Artificial Cognition in Production Systems

A Bannat;T Bautze;M Beetz;J Blume.
IEEE Transactions on Automation Science and Engineering (2011)

122 Citations

Joint-action for humans and industrial robots for assembly tasks

C. Lenz;S. Nair;M. Rickert;A. Knoll.
robot and human interactive communication (2008)

119 Citations

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

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

Contact us

Top Scientists Citing Alois Knoll

Masayuki Inaba

Masayuki Inaba

University of Tokyo

Publications: 36

Kei Okada

Kei Okada

University of Tokyo

Publications: 32

Rüdiger Dillmann

Rüdiger Dillmann

Center for Information Technology

Publications: 19

Alexander Drzezga

Alexander Drzezga

Technical University of Munich

Publications: 17

Guang-Zhong Yang

Guang-Zhong Yang

Shanghai Jiao Tong University

Publications: 17

Eric Marchand

Eric Marchand

University of Rennes 1

Publications: 16

Robert Perneczky

Robert Perneczky

Ludwig-Maximilians-Universität München

Publications: 16

Jianwei Zhang

Jianwei Zhang

Universität Hamburg

Publications: 15

Russell H. Taylor

Russell H. Taylor

Johns Hopkins University

Publications: 15

Rainer Leupers

Rainer Leupers

RWTH Aachen University

Publications: 15

Mamoru Mitsuishi

Mamoru Mitsuishi

University of Tokyo

Publications: 14

Elizabeth A. Croft

Elizabeth A. Croft

Monash University

Publications: 14

Siddhartha S. Srinivasa

Siddhartha S. Srinivasa

University of Washington

Publications: 14

William J. Jagust

William J. Jagust

Helen Wills Neuroscience Institute

Publications: 14

Gregory D. Hager

Gregory D. Hager

Johns Hopkins University

Publications: 14

Something went wrong. Please try again later.