LabCompass

Matthew Kahle

Computer Science · The Ohio State University

Mid career · publishing since 2002

Publications

76

Citations

1,149

Est. group size

Recurring co-author estimate

Active years

25

Publishing since 2002

Research summary
AI-generated

Matthew Kahle works in topology and combinatorics, studying the shape and structure of random geometric and combinatorial spaces. His research combines probability theory with topology to understand things like random graphs, random simplicial complexes (higher-dimensional generalizations of networks), and configuration spaces (spaces describing all the ways objects can be arranged without overlapping). This work has connections to data analysis methods that detect shape and structure in complex datasets.

Random topology and geometryTopological data analysisConfiguration spaces and combinatoricsRandom graphs and geometric graphsAlgebraic topology (homology and persistence)

Publication output has fluctuated over the last decade but remains active, with a strong recent uptick projected for 2026 after a dip in 2024.

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

Publication cadence
Publications per year over the last 10 years — averaging 4.2/year recently
2017: 3 publications172018: 4 publications182019: 1 publication192020: 6 publications6202021: 2 publications212022: 6 publications6222023: 6 publications6232024: 1 publication242025: 3 publications252026: 5 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×18
  • Journal of Applied and Computational Topology×4
  • Discrete & Computational Geometry×3
  • Forum of Mathematics Sigma×2
  • Open MIND×2
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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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