LabCompass

Juhyun Park

Mathematics · Indiana University

OpenAlex ORCID
Established · publishing since 1988
Statistical Methods and InferenceMorphological variations and asymmetryBayesian Methods and Mixture ModelsFinancial Risk and Volatility ModelingDomain Adaptation and Few-Shot Learning

Publications

75

Citations

771

Est. group size

—

Recurring co-author estimate

Active years

39

Publishing since 1988

Research summary
AI-generated

Juhyun Park works in mathematics and statistics, with a focus on analyzing the shape and geometry of curves and trajectories (for example, 3D motion paths and hand movements) using tools like the Frenet-Serret framework. Recent work also spans statistical modeling of time-based data and applied machine learning problems such as efficient large language model serving and person re-identification.

Shape and curve analysis (geometric/functional data)Statistical methods and inferenceFunctional time series modelingMachine learning systems and applicationsBayesian and mixture modeling

Output was steady at roughly 3-4 papers per year through 2021, dipped in 2022-2024, then rose sharply to 8 papers in both 2025 and 2026.

Generated by claude-opus-4-8 from public bibliographic data · Jul 9, 2026

In context
Among 247 established Mathematics PIs within our index
Citations: 771cohort median 1,977
h-index: 11cohort median 20
Publications / year (recent): 3.8cohort median 3

Typically publishes in teams of ~4 · 48% small-team papers (≤3 authors) · across 22 venues

Publication cadence
Publications per year over the last 10 years — averaging 3.8/year recently
2017: 3 publications172018: 3 publications182019: 4 publications192020: 4 publications202021: 4 publications212022: 2 publications222023: 1 publication23242025: 8 publications8252026: 8 publications826
Recent publications
Publishes in
  • arXiv (Cornell University)×13
  • SSRN Electronic Journal×3
  • Journal of Experimental Psychology General×1
  • Geophysical Journal International×1
  • Biometrics×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 Sep 1, 2026.

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