World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
8853
World Ranking
6203
National Ranking
2782

Peer-Timo Bremer 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 Peer-Timo Bremer 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: 281 publications — 70th percentile

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

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

Peer-Timo Bremer 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 Peer-Timo Bremer 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: 48 D-Index — 58th percentile

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

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

Overview

Peer-Timo Bremer is affiliated with Lawrence Livermore National Laboratory in the United States. Their research activity spans multiple disciplines, prominently within computer science and biochemistry, genetics, and molecular biology.

Their recent publications address diverse scientific and computational challenges. Notable papers include:

  • Machine learning-driven multiscale modeling reveals lipid-dependent dynamics of RAS signaling proteins, 2022, Proceedings of the National Academy of Sciences
  • 2022 Review of Data-Driven Plasma Science, 2023, IEEE Transactions on Plasma Science
  • A terminology for in situ visualization and analysis systems, 2020, The International Journal of High Performance Computing Applications
  • Capturing Biologically Complex Tissue-Specific Membranes at Different Levels of Compositional Complexity, 2020, The Journal of Physical Chemistry B
  • Machine Learning-Driven Multiscale Modeling: Bridging the Scales with a Next-Generation Simulation Infrastructure, 2023, Journal of Chemical Theory and Computation

Peer-Timo Bremer collaborates frequently with the following coauthors:

  • Jayaraman J. Thiagarajan
  • Rushil Anirudh
  • Harsh Bhatia
  • Valerio Pascucci
  • Helgi I. Ingólfsson

The scientist regularly publishes in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Visualization and Computer Graphics
  • Biophysical Journal
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Machine Learning Science and Technology

The main fields of study represented in their body of work include:

  • Computer Science
  • Biochemistry, Genetics and Molecular Biology

Within these broader fields, their research explores subfields such as:

  • Artificial Intelligence
  • Molecular Biology
  • Computer Vision and Pattern Recognition
  • Nuclear and High Energy Physics
  • Biophysics

The major topics covered by their research encompass:

  • Protein Structure and Dynamics
  • Laser-Plasma Interactions and Diagnostics
  • Generative Adversarial Networks and Image Synthesis
  • Cell Image Analysis Techniques
  • Computer Graphics and Visualization Techniques
  • Model Reduction and Neural Networks
  • Scientific Computing and Data Management

Best Publications

  • Visualizing High-Dimensional Data: Advances in the Past Decade

    Shusen Liu;Dan Maljovec;Bei Wang;Peer-Timo Bremer

  • Spectral surface quadrangulation

    Shen Dong;Peer-Timo Bremer;Michael Garland;Valerio Pascucci

  • Robust on-line computation of Reeb graphs: simplicity and speed

    Valerio Pascucci;Giorgio Scorzelli;Peer-Timo Bremer;Ajith Mascarenhas

  • The Helmholtz-Hodge Decomposition—A Survey

    H. Bhatia;G. Norgard;V. Pascucci;Peer-Timo Bremer

  • Computational Lipidomics of the Neuronal Plasma Membrane

    Helgi I. Ingólfsson;Timothy S. Carpenter;Harsh Bhatia;Peer Timo Bremer

  • Ensemble-Vis: A Framework for the Statistical Visualization of Ensemble Data

    K. Potter;A. Wilson;P.-T. Bremer;D. Williams

  • A topological hierarchy for functions on triangulated surfaces

    P.-T. Bremer;B. Hamann;H. Edelsbrunner;V. Pascucci

  • A Practical Approach to Morse-Smale Complex Computation: Scalability and Generality

    A. Gyulassy;P.-T. Bremer;B. Hamann;V. Pascucci

  • Combining in-situ and in-transit processing to enable extreme-scale scientific analysis

    Janine C. Bennett;Hasan Abbasi;Peer-Timo Bremer;Ray Grout

  • Understanding the Structure of the Turbulent Mixing Layer in Hydrodynamic Instabilities

    D. Laney;P.-T. Bremer;A. Mascarenhas;P. Miller

  • Analyzing and Tracking Burning Structures in Lean Premixed Hydrogen Flames

    P.-T. Bremer;G.H. Weber;V. Pascucci;M. Day

  • Visual Exploration of High Dimensional Scalar Functions

    S Gerber;P Bremer;V Pascucci;R Whitaker

  • Topological Landscapes: A Terrain Metaphor for Scientific Data

    G.H. Weber;P.-T. Bremer;V. Pascucci

  • Topology-based simplification for feature extraction from 3D scalar fields

    Unknown

  • Visual Exploration of Semantic Relationships in Neural Word Embeddings

    Shusen Liu;Peer-Timo Bremer;Jayaraman J. Thiagarajan;Vivek Srikumar

  • A topological approach to simplification of three-dimensional scalar functions

    A. Gyulassy;Vijay Natarajan;V. Pascucci;P.-T. Bremer

  • State of the Art of Performance Visualization

    Katherine E. Isaacs;Alfredo Giménez;Ilir Jusufi;Todd Gamblin

  • Analysis of large-scale scalar data using hixels

    D. Thompson;J. A. Levine;J. C. Bennett;Peer-Timo Bremer

  • Adaptive Extraction and Quantification of Geophysical Vortices

    S. Williams;M. Petersen;P.-T Bremer;M. Hecht

  • A multi-resolution data structure for two-dimensional Morse-Smale functions

    P.-T. Bremer;H. Edelsbrunner;B. Hamann;V. Pascucci

  • A Virtual Reality Visualization Tool for Neuron Tracing

    Will Usher;Pavol Klacansky;Frederick Federer;Peer-Timo Bremer

Frequent Co-Authors

Valerio Pascucci
Valerio Pascucci University of Utah
Bernd Hamann
Bernd Hamann University of California, Davis
Abhinav Bhatele
Abhinav Bhatele University of Maryland, College Park
Martin Schulz
Martin Schulz Technical University of Munich
Jacqueline H. Chen
Jacqueline H. Chen Sandia National Laboratories
Kwan-Liu Ma
Kwan-Liu Ma University of California, Davis
Chris R. Johnson
Chris R. Johnson University of Utah
John B. Bell
John B. Bell Lawrence Berkeley National Laboratory
Kenneth I. Joy
Kenneth I. Joy University of California, Davis
Cláudio T. Silva
Cláudio T. Silva New York University

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