LabCompass

John Bollenbacher

Computer Science · Indiana University

Established · publishing since 1980

Publications

260

Citations

201

Est. group size

~1

Recurring co-author estimate

Active years

47

Publishing since 1980

Research summary
AI-generated

John Bollenbacher works in computer science with a focus on analyzing text and online content, including using large language models (AI systems that process and generate text) to help categorize and interpret data. Related work touches on detecting misinformation and applying digital tools to health-related communication. The research combines automated text analysis methods with real-world applications such as public health messaging.

Text and document classificationLarge language models for content analysisMisinformation detectionWeb data miningDigital health interventions

Publication activity has been low and intermittent over the last five years (averaging about two per year), aside from one anomalous year with a very high count.

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

In context
Among 649 established Computer Science PIs within our index
Citations: 201cohort median 1,725
h-index: 6cohort median 19
Publications / year (recent): 2.0cohort median 4.2

Typically publishes in teams of ~8 · 0% small-team papers (≤3 authors) · across 4 venues

Publication cadence
Publications per year over the last 10 years — averaging 2.0/year recently
171819202021: 245 publications24521222023: 2 publications2324252026: 6 publications26
Publishes in
  • Zenodo (CERN European Organization for Nuclear Research)×180
  • Figshare×62
  • EPJ Data Science×3
  • arXiv (Cornell University)×3
  • Proceedings of the International AAAI Conference on Web and Social Media×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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