World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
8853
World Ranking
6202
National Ranking
2781

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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