H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 36 Citations 6,965 254 World Ranking 5597 National Ranking 262

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Artificial intelligence
  • Computer network

The scientist’s investigation covers issues in Multimedia, Computer network, Artificial intelligence, Computer vision and Distributed computing. His Multimedia research is multidisciplinary, relying on both Motion estimation, Purchasing, Mobile computing and Underline. Many of his research projects under Computer network are closely connected to Work with Work, tying the diverse disciplines of science together.

Wolfgang Effelsberg works mostly in the field of Artificial intelligence, limiting it down to concerns involving Scheme and, occasionally, Process, Theoretical computer science and Computational complexity theory. His work in the fields of Computer vision, such as Content based retrieval, intersects with other areas such as Term. The Distributed computing study combines topics in areas such as Class, Correctness and State.

His most cited work include:

  • Video abstracting (331 citations)
  • Principles of database buffer management (289 citations)
  • On the detection and recognition of television commercials (289 citations)

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

Wolfgang Effelsberg mostly deals with Multimedia, Computer network, Artificial intelligence, Computer vision and Mobile device. His Multimedia research focuses on Video tracking and how it connects with Video processing and Video quality. His biological study spans a wide range of topics, including Wireless ad hoc network, Transmission and Distributed computing.

His Artificial intelligence study frequently links to other fields, such as Pattern recognition. His work deals with themes such as Frame and Computer graphics, which intersect with Computer vision. His Mobile device research includes elements of Interactivity, Mobile computing and Adaptation.

He most often published in these fields:

  • Multimedia (29.91%)
  • Computer network (23.08%)
  • Artificial intelligence (20.23%)

What were the highlights of his more recent work (between 2013-2020)?

  • Multimedia (29.91%)
  • Artificial intelligence (20.23%)
  • Computer network (23.08%)

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

His primary scientific interests are in Multimedia, Artificial intelligence, Computer network, Mobile device and Video tracking. His studies deal with areas such as Video capture and Quality as well as Multimedia. His work deals with themes such as Machine learning, Computer vision and Natural language processing, which intersect with Artificial intelligence.

His study in Computer network is interdisciplinary in nature, drawing from both Android and The Internet. His Mobile device research is multidisciplinary, relying on both Class, Image warping and Implementation. His Video tracking research includes themes of Mobile collaboration, Video quality, Video processing and Upload.

Between 2013 and 2020, his most popular works were:

  • Serious Games: Foundations, Concepts and Practice (41 citations)
  • The potential of social-aware multimedia prefetching on mobile devices (37 citations)
  • Where are the Sweet Spots?: A Systematic Approach to Reproducible DASH Player Comparisons (21 citations)

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

  • Operating system
  • Artificial intelligence
  • Computer network

Wolfgang Effelsberg spends much of his time researching Multimedia, Mobile device, Computer network, Artificial intelligence and Computer vision. His Multimedia study incorporates themes from Video tracking and Video processing. His research integrates issues of Cellular network, Transmission, Set, Upload and Adaptation in his study of Mobile device.

He has included themes like The Internet and World Wide Web in his Computer network study. His biological study spans a wide range of topics, including Consistency, Stability and Flicker. His research in Computer vision intersects with topics in Salient and Computer graphics.

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

Video abstracting

Rainer Lienhart;Silvia Pfeiffer;Wolfgang Effelsberg.
Communications of The ACM (1997)

524 Citations

Principles of database buffer management

Wolfgang Effelsberg;Theo Haerder.
ACM Transactions on Database Systems (1984)

464 Citations

On the detection and recognition of television commercials

R. Lienhart;C. Kuhmunch;W. Effelsberg.
international conference on multimedia computing and systems (1997)

394 Citations

COMPASS: A probabilistic indoor positioning system based on 802.11 and digital compasses

Thomas King;Stephan Kopf;Thomas Haenselmann;Christian Lubberger.
workshop on wireless network testbeds experimental evaluation & characterization (2006)

348 Citations

Automatic audio content analysis

Silvia Pfeiffer;Stephan Fischer;Wolfgang Effelsberg.
acm multimedia (1997)

326 Citations

Local-lag and timewarp: providing consistency for replicated continuous applications

M. Mauve;J. Vogel;V. Hilt;W. Effelsberg.
IEEE Transactions on Multimedia (2004)

319 Citations

Abstracting Digital Movies Automatically

Silvia Pfeiffer;Rainer Lienhart;Stephan Fischer;Wolfgang Effelsberg.
Journal of Visual Communication and Image Representation (1996)

267 Citations

Automatic text segmentation and text recognition for video indexing

Rainer Lienhart;Wolfgang Effelsberg.
Multimedia Systems (2000)

249 Citations

Automatic recognition of film genres

Stephan Fischer;Rainer Lienhart;Wolfgang Effelsberg.
acm multimedia (1995)

243 Citations

Robust camera calibration for sport videos using court models

Dirk Farin;Susanne Krabbe;Wolfgang Effelsberg.
electronic imaging (2003)

186 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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