LabCompass

Martı́n Kruczenski

Physics and Astronomy · Purdue University West Lafayette

Established · publishing since 1994Rising activity

Publications

70

Citations

3,361

Est. group size

Recurring co-author estimate

Active years

33

Publishing since 1994

Research summary
AI-generated

Martín Kruczenski works in theoretical physics, developing 'bootstrap' methods that use mathematical consistency conditions (rather than direct calculation) to predict how particles interact, particularly in the theory of the strong nuclear force (quantum chromodynamics) and related gauge theories. His work also touches on quantum gravity analogies using cold-atom systems (Bose-Einstein condensates) to model black holes, and on quantifying complexity in holographic descriptions of quantum systems near critical points. This research is highly mathematical and aims to derive physical predictions from fundamental principles like symmetry and consistency rather than brute-force computation.

S-matrix and gauge theory bootstrap methodsQuantum chromodynamics and pion dynamicsHolography and quantum gravityAnalogue black holes in Bose-Einstein condensatesComputational/circuit complexity in physics

Publication output dipped around 2019-2021 but has grown steadily since 2022, reaching its highest recent levels in 2024-2026.

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

Publication cadence
Publications per year over the last 10 years — averaging 3.4/year recently
2017: 3 publications172018: 2 publications182019: 1 publication19202021: 1 publication212022: 4 publications222023: 3 publications232024: 5 publications5242025: 3 publications252026: 2 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×8
  • Journal of Physics A Mathematical and Theoretical×5
  • OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)×2
  • Nuclear Physics B×1
  • Physical Review Letters×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 20, 2026.

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