D-Index & Metrics Best Publications

D-Index & Metrics 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.

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
Computer Science D-index 48 Citations 8,800 433 World Ranking 4049 National Ranking 178

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer network
  • Computer vision

Eckehard Steinbach mainly investigates Haptic technology, Computer network, Real-time computing, Network packet and Artificial intelligence. His Haptic technology research is multidisciplinary, incorporating elements of Data stream mining, Teleoperation and Human–computer interaction. His Computer network research integrates issues from Wireless network and Cross-layer optimization.

His Real-time computing research includes elements of Automatic repeat request, Encoder, Communication channel, Distortion and Bitstream. His Network packet study integrates concerns from other disciplines, such as Voice over IP and Jitter. Artificial intelligence and Computer vision are commonly linked in his work.

His most cited work include:

  • Application-driven cross-layer optimization for video streaming over wireless networks (243 citations)
  • Adaptive media playout for low-delay video streaming over error-prone channels (214 citations)
  • Real-time compression of point cloud streams (206 citations)

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

His scientific interests lie mostly in Artificial intelligence, Computer vision, Haptic technology, Real-time computing and Computer network. His study connects Pattern recognition and Artificial intelligence. Eckehard Steinbach regularly links together related areas like Computer graphics in his Computer vision studies.

His work deals with themes such as Deadband and Teleoperation, which intersect with Haptic technology. While the research belongs to areas of Real-time computing, Eckehard Steinbach spends his time largely on the problem of Network packet, intersecting his research to questions surrounding Transmission. His Computer network research incorporates elements of Wireless, Wireless network, Video quality and Communication channel.

He most often published in these fields:

  • Artificial intelligence (40.58%)
  • Computer vision (33.04%)
  • Haptic technology (20.18%)

What were the highlights of his more recent work (between 2016-2021)?

  • Artificial intelligence (40.58%)
  • Computer vision (33.04%)
  • Haptic technology (20.18%)

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

Eckehard Steinbach mostly deals with Artificial intelligence, Computer vision, Haptic technology, Teleoperation and Pattern recognition. His Computer vision study frequently draws parallels with other fields, such as Surface finish. In general Haptic technology study, his work on Haptic communication often relates to the realm of Kinesthetic learning, thereby connecting several areas of interest.

His Teleoperation research incorporates themes from Transmission, Real-time computing, Simulation and Data transmission. His studies deal with areas such as Control system and Augmented reality as well as Real-time computing. His Pattern recognition study combines topics from a wide range of disciplines, such as RGB color model, Artificial neural network and Residual.

Between 2016 and 2021, his most popular works were:

  • Toward Haptic Communications Over the 5G Tactile Internet (96 citations)
  • Multimodal Feature-Based Surface Material Classification (52 citations)
  • Soft Resource Reservation for Low-Delayed Teleoperation Over Mobile Networks (41 citations)

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

  • Artificial intelligence
  • Computer network
  • Computer vision

His main research concerns Artificial intelligence, Haptic technology, The Internet, Computer vision and Real-time computing. His Pattern recognition research extends to Artificial intelligence, which is thematically connected. The concepts of his Haptic technology study are interwoven with issues in Orchestration, Computer network and Teleoperation.

His work deals with themes such as Wireless and Bandwidth, which intersect with Computer network. The study incorporates disciplines such as Pipeline and Computer graphics in addition to Computer vision. His Real-time computing research integrates issues from Minification, Video Graphics Array, Transmission, Multipath propagation and Non-line-of-sight propagation.

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

Application-driven cross-layer optimization for video streaming over wireless networks

S. Khan;Y. Peng;E. Steinbach;M. Sgroi.
IEEE Communications Magazine (2006)

349 Citations

Real-time compression of point cloud streams

Julius Kammerl;Nico Blodow;Radu Bogdan Rusu;Suat Gedikli.
international conference on robotics and automation (2012)

326 Citations

Adaptive media playout for low-delay video streaming over error-prone channels

M. Kalman;E. Steinbach;B. Girod.
IEEE Transactions on Circuits and Systems for Video Technology (2004)

314 Citations

Standard compatible extension of H.263 for robust video transmission in mobile environments

E. Steinbach;N. Farber;B. Girod.
IEEE Transactions on Circuits and Systems for Video Technology (1997)

250 Citations

Perception-Based Data Reduction and Transmission of Haptic Data in Telepresence and Teleaction Systems

P. Hinterseer;S. Hirche;S. Chaudhuri;E. Steinbach.
IEEE Transactions on Signal Processing (2008)

211 Citations

Haptic Communications

E. Steinbach;S. Hirche;M. Ernst;F. Brandi.
Proceedings of the IEEE (2012)

181 Citations

Toward Haptic Communications Over the 5G Tactile Internet

Konstantinos Antonakoglou;Xiao Xu;Eckehard Steinbach;Toktam Mahmoodi.
IEEE Communications Surveys and Tutorials (2018)

173 Citations

Graph-based data fusion of pedometer and WiFi measurements for mobile indoor positioning

Sebastian Hilsenbeck;Dmytro Bobkov;Georg Schroth;Robert Huitl.
ubiquitous computing (2014)

153 Citations

Mobile Visual Location Recognition

G Schroth;R Huitl;D Chen;M Abu-Alqumsan.
IEEE Signal Processing Magazine (2011)

151 Citations

Disposal of explosive ordnances by use of a bimanual haptic telepresence system

A. Kron;G. Schmidt;B. Petzold;M.I. Zah.
international conference on robotics and automation (2004)

148 Citations

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