H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 54 Citations 12,573 411 World Ranking 2276 National Ranking 99

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Computer vision

Helge Ritter focuses on Artificial intelligence, Computer vision, Artificial neural network, Self-organizing map and Robot. The various areas that Helge Ritter examines in his Artificial intelligence study include Machine learning and Pattern recognition. The study incorporates disciplines such as Contextual image classification, Object detection and Kernel regression in addition to Pattern recognition.

His Artificial neural network research incorporates themes from Algorithm, Data mining, Feature and Gesture recognition. His research in Self-organizing map intersects with topics in Dimension, Space, Topology, Robotic arm and Gaussian curvature. In general Robot, his work in Tactile sensor is often linked to Dreyfus model of skill acquisition linking many areas of study.

His most cited work include:

  • Self-organizing semantic maps (563 citations)
  • BCI competition 2003-data set IIb: support vector machines for the P300 speller paradigm (410 citations)
  • Neural Computation And Self Organizing Maps: An Introduction (396 citations)

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

Helge Ritter mostly deals with Artificial intelligence, Computer vision, Artificial neural network, Robot and Human–computer interaction. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Machine learning and Pattern recognition. His study in Pattern recognition focuses on Feature extraction in particular.

His Computer vision study frequently draws connections between adjacent fields such as GRASP. Humanoid robot, Robot kinematics and Robot control are among the areas of Robot where Helge Ritter concentrates his study. Helge Ritter studies Sonification which is a part of Human–computer interaction.

He most often published in these fields:

  • Artificial intelligence (64.55%)
  • Computer vision (33.17%)
  • Artificial neural network (17.40%)

What were the highlights of his more recent work (between 2011-2021)?

  • Artificial intelligence (64.55%)
  • Computer vision (33.17%)
  • Robot (16.42%)

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

His main research concerns Artificial intelligence, Computer vision, Robot, Object and Tactile sensor. He specializes in Artificial intelligence, namely Haptic technology. His work in Computer vision addresses issues such as Control theory, which are connected to fields such as Body schema.

Helge Ritter combines subjects such as Simulation and Human–computer interaction with his study of Robot. His Object research is multidisciplinary, incorporating perspectives in Identification, Field and Action. His Tactile sensor research incorporates elements of Image resolution, Motion and Visual servoing.

Between 2011 and 2021, his most popular works were:

  • Flexible and stretchable fabric-based tactile sensor (120 citations)
  • A Control Framework for Tactile Servoing (67 citations)
  • Real-time 3D segmentation of cluttered scenes for robot grasping (46 citations)

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

  • Artificial intelligence
  • Machine learning
  • Computer vision

The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Robot, Tactile sensor and Object. As part of his studies on Artificial intelligence, Helge Ritter frequently links adjacent subjects like Control theory. As a member of one scientific family, Helge Ritter mostly works in the field of Computer vision, focusing on GRASP and, on occasion, Degrees of freedom.

His studies in Robot integrate themes in fields like Pose, Simulation, Human–computer interaction and Identification. His Tactile sensor research integrates issues from Robot end effector, Wearable computer, Embedded system and Action. His Object study deals with Visual servoing intersecting with Visualization, Motion and Image processing.

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

Neural Computation And Self Organizing Maps: An Introduction

Helge Ritter;Thomas Martinetz;Klaus Schulten;Daniel Barsky.
(1992)

1188 Citations

Self-organizing semantic maps

H. Ritter;T. Kohonen.
Biological Cybernetics (1989)

955 Citations

BCI competition 2003-data set IIb: support vector machines for the P300 speller paradigm

M. Kaper;P. Meinicke;U. Grossekathoefer;T. Lingner.
IEEE Transactions on Biomedical Engineering (2004)

616 Citations

Topology-conserving maps for learning visuo-motor-coordination

H. J. Ritter;T. M. Martinetz;K. J. Schulten.
Neural Networks (1989)

493 Citations

Convergence properties of Kohonen's topology conserving maps: fluctuations, stability, and dimension selection

H. Ritter;K. Schulten.
Biological Cybernetics (1988)

469 Citations

On the stationary state of Kohonen's self-organizing sensory mapping

H Ritter;K Schulten.
Biological Cybernetics (1986)

406 Citations

Three-dimensional neural net for learning visuomotor coordination of a robot arm

T.M. Martinetz;H.J. Ritter;K.J. Schulten.
IEEE Transactions on Neural Networks (1990)

362 Citations

A principle for the formation of the spatial structure of cortical feature maps.

Klaus Obermayer;Helge Ritter;Klaus Schulten.
Proceedings of the National Academy of Sciences of the United States of America (1990)

304 Citations

An Adaptive P300-Based Online Brain–Computer Interface

A. Lenhardt;M. Kaper;H.J. Ritter.
international conference of the ieee engineering in medicine and biology society (2008)

245 Citations

Adaptive color segmentation-a comparison of neural and statistical methods

E. Littmann;H. Ritter.
IEEE Transactions on Neural Networks (1997)

242 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.

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Top Scientists Citing Helge Ritter

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