LabCompass

Tom Peterka

Computer Science · The Ohio State University

Mid career · publishing since 2006Rising activity

Publications

84

Citations

1,764

Est. group size

~3

Recurring co-author estimate

Active years

20

Publishing since 2006

Research summary
AI-generated

Tom Peterka works on managing and visualizing extremely large scientific datasets produced by high-performance computing (supercomputer) simulations. His work covers 'in situ' data processing (analyzing data as it's generated, without saving it all to disk first), scalable volume visualization (rendering 3D data for scientific images), and compact mathematical representations of data for faster storage and rendering. Prospective students would likely engage with software systems and algorithms for parallel and distributed computing applied to scientific data.

High-performance computing (HPC) workflowsScientific data visualizationIn situ data analysisParallel and distributed computingData compression and functional approximation

Publication output has declined from a peak of 8 papers/year in 2017-2018 to a lower, fluctuating rate of 2-6 papers/year in recent years, averaging 2.8 per year over the last five years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 2.8/year recently
2017: 8 publications8172018: 8 publications8182019: 4 publications192020: 4 publications202021: 3 publications212022: 2 publications222023: 4 publications232024: 6 publications242025: 2 publications2526
Publishes in
  • IEEE Transactions on Visualization and Computer Graphics×9
  • arXiv (Cornell University)×9
  • Lecture notes in computer science×4
  • HAL (Le Centre pour la Communication Scientifique Directe)×2
  • Communications of the ACM×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 19, 2026.

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