World's Best Scientists 2026 revealed!
Thrasyvoulos N. Pappas

Thrasyvoulos N. Pappas

D-Index & Metrics

Computer Science

D-Index
41
Citations
8157
World Ranking
8754
National Ranking
3744

Thrasyvoulos N. Pappas 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 Thrasyvoulos N. Pappas sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 196 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

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

Thrasyvoulos N. Pappas 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 Thrasyvoulos N. Pappas sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2007 - SPIE Fellow
  • 2006 - IEEE Fellow For contributions to halftoning, video analysis, and compression.

Overview

Thrasyvoulos N. Pappas is affiliated with Northwestern University in the United States and specializes in the field of Computer Science. Their research contributions primarily focus on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Atomic and Molecular Physics and Optics, Cognitive Neuroscience, and Social Psychology.

The scientist's work extensively covers topics such as Generative Adversarial Networks and Image Synthesis, Computer Graphics and Visualization Techniques, Color Science and Applications, Color Perception and Design, Image and Signal Denoising Methods, Image Processing and 3D Reconstruction, and Handwritten Text Recognition Techniques.

Key recent publications include:

  • Hierarchical Lossy Bilevel Image Compression Based on Cutset Sampling, 2020, IEEE Transactions on Image Processing
  • Toward universal texture synthesis by combining texton broadcasting with noise injection in StyleGAN-2, 2023, e-Prime - Advances in Electrical Engineering Electronics and Energy
  • Human Skin Gloss Perception Based on Texture Statistics, 2021, IEEE Transactions on Image Processing
  • Texture representation via analysis and synthesis with generative adversarial networks, 2023, e-Prime - Advances in Electrical Engineering Electronics and Energy
  • Influence of Texture Structure on the Perception of Color Composition, 2020, Journal of Perceptual Imaging

Pappas has frequently collaborated with these coauthors:

  • Gaurav Sharma
  • Jue Lin
  • René van Egmond
  • Huib de Ridder
  • Kaixuan Zhang

Regular publication venues in the scientist's career include:

  • IEEE Transactions on Image Processing
  • Zenodo (CERN European Organization for Nuclear Research)
  • e-Prime - Advances in Electrical Engineering Electronics and Energy
  • arXiv (Cornell University)
  • Journal of Perceptual Imaging

Thrasyvoulos N. Pappas received the SPIE Fellow award in 2007. They were also named IEEE Fellow in 2006 for contributions to halftoning, video analysis, and compression.

Best Publications

  • An adaptive clustering algorithm for image segmentation

    T.N. Pappas;N.S. Jayant

  • An adaptive clustering algorithm for image segmentation

    T.N. Pappas

  • On the numerical solution of the discrete-time algebraic Riccati equation

    T. Pappas;A. Laub;N. Sandell

  • Perceptual criteria for image quality evaluation

    Thrasyvoulos N. Pappas

  • Adaptive perceptual color-texture image segmentation

    Junqing Chen;T.N. Pappas;A. Mojsilovic;B.E. Rogowitz

  • Structural Similarity Quality Metrics in a Coding Context: Exploring the Space of Realistic Distortions

    A.C. Brooks;Xiaonan Zhao;T.N. Pappas

  • Joint source coding and transmission power management for energy efficient wireless video communications

    Y. Eisenberg;C.E. Luna;T.N. Pappas;R. Berry

  • Content-aware resource allocation and packet scheduling for video transmission over wireless networks

    P. Pahalawatta;R. Berry;T. Pappas;A. Katsaggelos

  • Structural Texture Similarity Metrics for Image Analysis and Retrieval

    Jana Zujovic;T. N. Pappas;D. L. Neuhoff

  • Printer models and error diffusion

    T.N. Pappas;D.L. Neuhoff

  • Rate-distortion optimized hybrid error control for real-time packetized video transmission

    Fan Zhai;Y. Eisenberg;T.N. Pappas;R. Berry

  • Least-squares model-based halftoning

    Thrasyvoulos N. Pappas;David L. Neuhoff

  • Adaptive image segmentation based on color and texture

    Junqing Chen;T.N. Pappas;A. Mojsilovic;B. Rogowitz

  • Classifying paintings by artistic genre: An analysis of features & classifiers

    Jana Zujovic;Lisa Gandy;Scott Friedman;Bryan Pardo

  • Joint source coding and data rate adaptation for energy efficient wireless video streaming

    C.E. Luna;Y. Eisenberg;R. Berry;T.N. Pappas

  • Advances in Efficient Resource Allocation for Packet-Based Real-Time Video Transmission

    A.K. Katsaggelos;Y. Eisenberg;F. Zhai;R. Berry

  • A new method for estimation of coronary artery dimensions in angiograms

    T.N. Pappas;J.S. Lim

  • Least-squares model-based halftoning

    T.N. Pappas;D.L. Neuhoff

  • Model-based digital halftoning

    Thrasyvoulos N. Pappas;Jan P. Allebach;David L. Neuhoff

  • Human Vision and Electronic Imaging

    Bernice E. Rogowitz;Thrasyvoulos N. Pappas

  • Image Quality Assessment

    Kalpana Seshadrinathan;Thrasyvoulos N. Pappas;Robert J. Safranek;Junqing Chen

  • Human Vision and Electronic Imaging VI

    Bernice E. Rogowitz;Thrasyvoulos N. Pappas

  • Structural similarity quality metrics in a coding context: Exploring the space of realistic distortions

    Alan C. Brooks;Thrasyvoulos N. Pappas

  • Predicting Visible Differences in High Dynamic Range Images - Model and its Calibration

    Rafal Mantiuk;Scott Daly;Karol Myszkowski;Hans-Peter Seidel

Frequent Co-Authors

Aggelos K. Katsaggelos
Aggelos K. Katsaggelos Northwestern University
David L. Neuhoff
David L. Neuhoff University of Michigan–Ann Arbor
Randall A. Berry
Randall A. Berry Northwestern University
Scott J. Daly
Scott J. Daly Dolby (United States)
Aleksandra Mojsilovic
Aleksandra Mojsilovic IBM (United States)
Jan P. Allebach
Jan P. Allebach Purdue University West Lafayette
Hans-Peter Seidel
Hans-Peter Seidel Max Planck Institute for Informatics
Karol Myszkowski
Karol Myszkowski Max Planck Institute for Informatics
Nambirajan Seshadri
Nambirajan Seshadri University of California, San Diego
Sotirios A. Tsaftaris
Sotirios A. Tsaftaris University of Edinburgh

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring what masters program should I do is a great next step for those aiming to specialize within computer science or pivot to in-demand tech fields. Master’s degrees can lead to higher salaries and advanced roles, but it’s important to choose programs that align with current job market trends.

If you're seeking a faster or more flexible route, 2 year online degrees offer a practical grounding in tech topics and can prepare you for entry-level roles, often with the option to transfer credits toward a bachelor’s program.

For students concerned about education costs, enrolling in cheap online college classes makes earning a respected degree more attainable, while still maintaining academic standards.

Those with an unconventional academic background may find a way forward through universities for low gpa. These institutions focus on supporting students in achieving their degree and building long-term careers in computer science and related fields.

Best Scientists Citing Thrasyvoulos N. Pappas

Trending Scientists