2026 Heiko Schwarz: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	50	5478	5324	253	245	236	20139

Heiko Schwarz publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Heiko Schwarz sits on this spectrum.

32 publications 991+

This scientist: 236 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Heiko Schwarz D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Heiko Schwarz sits on this spectrum.

30 D-Index 131+

This scientist: 50 D-Index — 62nd percentile

62% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Heiko Schwarz is affiliated with the Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute in Germany. The main focus of their research lies within the field of Computer Science, with particular emphasis on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Neurology, and Electrical and Electronic Engineering.

The researcher has contributed extensively to the areas of Video Coding and Compression Technologies, Advanced Data Compression Techniques, Advanced Vision and Imaging, Advanced Image Processing Techniques, Advanced Neural Network Applications, Image Enhancement Techniques, and Privacy-Preserving Technologies in Data.

Frequent venues for publishing their research include:

2022 IEEE International Conference on Image Processing (ICIP)
IEEE Transactions on Image Processing
Signal Processing Image Communication
IEEE Transactions on Circuits and Systems for Video Technology
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Frequent collaborators with Heiko Schwarz consist of the following co-authors:

Thomas Wiegand (14 joint publications)
Detlev Marpe (13 joint publications)
Jonathan Pfaff (11 joint publications)
Karsten Müller (5 joint publications)
Wojciech Samek (5 joint publications)

Recent papers authored or co-authored by Heiko Schwarz include:

"Quantization and Entropy Coding in the Versatile Video Coding (VVC) Standard," 2021, IEEE Transactions on Circuits and Systems for Video Technology

Other recent papers related to video coding and image processing authored by collaborators in associated works are:

"Intra-Inter Prediction for Versatile Video Coding Using a Residual Convolutional Neural Network," 2022, 2022 IEEE International Conference on Image Processing (ICIP)
"Region-Based Template Matching Prediction for Intra Coding," 2023, IEEE Transactions on Image Processing
"A Signal Adaptive Prediction Filter for Video Coding Using Directional Total Variation: Mathematical Framework and Parameter Selection," 2020, IEEE Transactions on Image Processing
"Adaptive Differential Filters for Fast and Communication-Efficient Federated Learning," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Best Publications

Overview of the Scalable Video Coding Extension of the H.264/AVC Standard

H. Schwarz;D. Marpe;T. Wiegand

4931
Citations
Rate-constrained coder control and comparison of video coding standards

T. Wiegand;H. Schwarz;A. Joch;F. Kossentini

3194
Citations
Context-based adaptive binary arithmetic coding in the H.264/AVC video compression standard

D. Marpe;H. Schwarz;T. Wiegand

2248
Citations
Comparison of the Coding Efficiency of Video Coding Standards—Including High Efficiency Video Coding (HEVC)

J. Ohm;G. J. Sullivan;H. Schwarz;Thiow Keng Tan

1716
Citations
Arithmetic coding for transforming video and picture data units

Detlev Marpe;Heiko Schwarz;Thomas Wiegand

534
Citations
Analysis of Hierarchical B Pictures and MCTF

Heiko Schwarz;Detlev Marpe;Thomas Wiegand

469
Citations
3D High-Efficiency Video Coding for Multi-View Video and Depth Data

K. Muller;H. Schwarz;D. Marpe;C. Bartnik

461
Citations
Performance Analysis of SVC

M. Wien;H. Schwarz;T. Oelbaum

457
Citations
Video frame encoding and decoding

Detlev Marpe;Heiko Schwarz;Thomas Wiegand

249
Citations
Video Compression Using Nested Quadtree Structures, Leaf Merging, and Improved Techniques for Motion Representation and Entropy Coding

Detlev Marpe;Heiko Schwarz;Sebastian Bosse;Benjamin Bross

221
Citations
Overview of the Scalable H.264/MPEG4-AVC Extension

Heiko Schwarz;Detlev Marpe;Thomas Wiegand

207
Citations
Method and apparatus for binarization and arithmetic coding of a data value

Detlev Marpe;Heiko Schwarz;Thomas Wiegand

195
Citations
Method and arrangement for coding transform coefficients in picture and/or video coders and decoders and a corresponding computer program and a corresponding computer-readable storage medium

Heiko Schwarz;Detlef Marpe;Thomas Wiegand

190
Citations
Performance comparison of video coding standards using Lagrangian coder control

A. Joch;F. Kossentini;H. Schwarz;T. Wiegand

188
Citations
Constrained inter-layer prediction for single-loop decoding in spatial scalability

H. Schwarz;T. Hinz;D. Marpe;T. Wiegand

176
Citations
The Scalable Video Coding Extension of the H.264/AVC Standard [Standards in a Nutshell]

H. Schwarz;M. Wien

172
Citations
Coding of a syntax element contained in a pre-coded video signal

Detlev Marpe;Heiko Schwarz;Thomas Wiegand

163
Citations
Combined scalability support for the scalable extension of H.264/AVC

H. Schwarz;D. Marpe;T. Schierl;T. Wiegand

147
Citations
The Scalable Video Coding Extension of the H.264/AVC Standard

Heiko Schwarz;Mathias Wien

140
Citations
Quality scalable coding

Detlev Marpe;Martin Winken;Heiko Schwarz;Thomas Wiegand

138
Citations

Frequent Co-Authors

Thomas Wiegand Technical University of Berlin

Detlev Marpe Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute

Wojciech Samek Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute

Gitta Kutyniok Ludwig-Maximilians-Universität München

Gary J. Sullivan Microsoft (United States)

Klaus-Robert Müller Technical University of Berlin

Remco C. Veltkamp Utrecht University

Thomas Schierl Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute

Faouzi Kossentini Intel (United States)

Pramod Kumar Meher Sandhaan Labs Private Limited

External Links

Personal website of Heiko Schwarz Google Scholar page

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