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Electronics and Electrical Engineering
Germany
2026

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
85
Citations
64304
World Ranking
371
National Ranking
9

Thomas Wiegand publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Thomas Wiegand sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 368 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Thomas Wiegand D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Thomas Wiegand sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 85 D-Index — 95th percentile

95% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Electronics and Electrical Engineering in Germany Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in Germany Leader Award
  • 2023 - Research.com Electronics and Electrical Engineering in Germany Leader Award
  • 2022 - Research.com Electronics and Electrical Engineering in Germany Leader Award
  • 2018 - German National Academy of Sciences Leopoldina - Deutsche Akademie der Naturforscher Leopoldina – Nationale Akademie der Wissenschaften Informatics
  • 2011 - IEEE Fellow For contributions to video coding and its standardization

Overview

Thomas Wiegand is affiliated with the Technical University of Berlin in Germany. Their research primarily focuses on Computer Science, with specific contributions across various subfields, including Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Health Informatics, and Molecular Biology.

Their scholarly output spans numerous topics, notably:

  • Video Coding and Compression Technologies
  • Artificial Intelligence in Healthcare and Education
  • Advanced Data Compression Techniques
  • Explainable Artificial Intelligence (XAI)
  • Advanced Vision and Imaging
  • Advanced Image Processing Techniques
  • Machine Learning and Data Classification

Key recent publications authored include:

  • "Artificial intelligence in dental research: Checklist for authors, reviewers, readers", 2021, Journal of Dentistry
  • "Artificial intelligence in nursing: Priorities and opportunities from an international invitational think-tank of the Nursing and Artificial Intelligence Leadership Collaborative", 2021, Journal of Advanced Nursing
  • "From attribution maps to human-understandable explanations through Concept Relevance Propagation", 2023, Nature Machine Intelligence
  • "Intra Prediction and Mode Coding in VVC", 2021, IEEE Transactions on Circuits and Systems for Video Technology
  • "Quantization and Entropy Coding in the Versatile Video Coding (VVC) Standard", 2021, IEEE Transactions on Circuits and Systems for Video Technology

Frequent publication venues for their work include:

  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • 2022 IEEE International Conference on Image Processing (ICIP)
  • IEEE Transactions on Image Processing
  • IEEE Open Journal of Circuits and Systems

Their collaborations often involve the following co-authors:

  • Wojciech Samek
  • Sebastian Lapuschkin
  • Heiko Schwarz
  • Detlev Marpe
  • Jonathan Pfaff

The scientist's contributions have been recognized by awards such as induction into the German National Academy of Sciences Leopoldina in 2018 with a citation in Informatics and being named an IEEE Fellow in 2011 for contributions to video coding and its standardization.

Best Publications

  • Overview of the H.264/AVC video coding standard

    T. Wiegand;G.J. Sullivan;G. Bjontegaard;A. Luthra

  • Overview of the High Efficiency Video Coding (HEVC) Standard

    G. J. Sullivan;J. Ohm;Woo-Jin Han;T. Wiegand

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

    H. Schwarz;D. Marpe;T. Wiegand

  • Rate-constrained coder control and comparison of video coding standards

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

  • Rate-distortion optimization for video compression

    G.J. Sullivan;T. Wiegand

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

    D. Marpe;H. Schwarz;T. Wiegand

  • 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

  • Explainable artificial intelligence: Understanding, visualizing and interpreting deep learning models

    Wojciech Samek;Thomas Wiegand;Klaus-Robert Müller

  • Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment

    Sebastian Bosse;Dominique Maniry;Klaus-Robert Muller;Thomas Wiegand

  • Video Compression - From Concepts to the H.264/AVC Standard

    G.J. Sullivan;T. Wiegand

  • H.264/AVC in wireless environments

    T. Stockhammer;M.M. Hannuksela;T. Wiegand

  • Efficient Prediction Structures for Multiview Video Coding

    P. Merkle;A. Smolic;K. Muller;T. Wiegand

  • Overview of the Stereo and Multiview Video Coding Extensions of the H.264/MPEG-4 AVC Standard

    A Vetro;T Wiegand;G J Sullivan

  • The H.264/MPEG4 advanced video coding standard and its applications

    D. Marpe;T. Wiegand;G.J. Sullivan

  • Multi-View Video Plus Depth Representation and Coding

    P. Merkle;A. Smolic;K. Muller;T. Wiegand

  • Long-term memory motion-compensated prediction

    T. Wiegand;Xiaozheng Zhang;B. Girod

  • Rate-distortion optimized mode selection for very low bit rate video coding and the emerging H.263 standard

    T. Wiegand;M. Lightstone;D. Mukherjee;T.G. Campbell

  • 3-D Video Representation Using Depth Maps

    K Müller;P Merkle;T Wiegand

  • Analysis of Hierarchical B Pictures and MCTF

    Heiko Schwarz;Detlev Marpe;Thomas Wiegand

  • Lagrange multiplier selection in hybrid video coder control

    T. Wiegand;B. Girod

Frequent Co-Authors

Detlev Marpe
Detlev Marpe Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute
Heiko Schwarz
Heiko Schwarz Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute
Thomas Schierl
Thomas Schierl Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute
Klaus-Robert Müller
Klaus-Robert Müller Technical University of Berlin
Bernd Girod
Bernd Girod Stanford University
Gary J. Sullivan
Gary J. Sullivan Microsoft (United States)
Peter Eisert
Peter Eisert Humboldt-Universität zu Berlin
Wojciech Samek
Wojciech Samek Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute
Eckehard Steinbach
Eckehard Steinbach Technical University of Munich
Gabriel Curio
Gabriel Curio Charité - University Medicine Berlin

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