LabCompass

David Sivakoff

Mathematics · The Ohio State University

Mid career · publishing since 2010

Publications

59

Citations

363

Est. group size

Recurring co-author estimate

Active years

17

Publishing since 2010

Research summary
AI-generated

David Sivakoff works in probability theory, studying random processes on networks and lattices such as bootstrap percolation, growth models, cellular automata, and particle systems that spread, compete, or annihilate over space. This research helps explain how patterns like infection spread, mutation, or activation propagate through structured environments, using rigorous mathematical models rather than experimental data. The work is highly theoretical, aimed at proving precise mathematical statements about long-term behavior of these random systems.

Probability theory and stochastic processesPercolation and bootstrap percolation modelsInteracting particle systems and cellular automataGrowth and spread dynamics on networks/latticesRandom structures on graphs and trees

Publication output has fluctuated over the past decade with a peak in 2017, a lull around 2022 and 2024, and a resurgence in 2025, averaging about 3 papers 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 3.2/year recently
2017: 11 publications11172018: 4 publications182019: 5 publications192020: 5 publications202021: 6 publications212022: 2 publications222023: 5 publications232024: 1 publication242025: 7 publications252026: 1 publication26
Recent publications
Publishes in
  • arXiv (Cornell University)×21
  • The Annals of Applied Probability×7
  • Electronic Journal of Probability×4
  • Stochastic Processes and their Applications×2
  • Electronic Communications in Probability×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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