LabCompass

David Leake

Computer Science · Indiana University

OpenAlex ORCID
Established · publishing since 1981Rising activity
AI-based Problem Solving and PlanningSemantic Web and OntologiesSoftware Engineering ResearchMachine Learning and Data ClassificationTopic Modeling

Publications

250

Citations

5,122

Est. group size

—

Recurring co-author estimate

Active years

46

Publishing since 1981

Research summary
AI-generated

David Leake works in artificial intelligence, focusing on case-based reasoning (CBR) — an approach where computers solve new problems by reusing solutions from similar past cases. Recent work explores combining CBR with large language models and neural networks, and using stored cases to explain and build confidence in AI decisions. His research spans how systems retrieve, adapt, and maintain these case libraries efficiently.

Case-based reasoningExplainable AILarge language models and AI integrationCase base maintenance and learningAI problem solving and planning

Publication activity has been steady over the past decade, fluctuating year to year with an average of about 3.8 papers per year over the last five years.

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

Funding
Public award records

No award with a current end date on record.

1 earlier award
  • NSF 9409348Jul 1994 – Oct 1997 · $90k awarded

    RIA: Learning Case Adaptation for Case-Base Reasoning

Matched to public NIH RePORTER and NSF records by name and institution. Awards from other agencies are not shown, and a match is not always found — this list may be incomplete.

In context
Among 649 established Computer Science PIs within our index
Citations: 5,122cohort median 1,725
h-index: 34cohort median 19
Publications / year (recent): 3.8cohort median 4.2

Typically publishes in teams of ~3 · 76% small-team papers (≤3 authors) · across 9 venues

Publication cadence
Publications per year over the last 10 years — averaging 3.8/year recently
2017: 8 publications8172018: 4 publications182019: 5 publications192020: 3 publications202021: 7 publications212022: 2 publications222023: 8 publications8232024: 3 publications242025: 6 publications2526
Collaborators per year
Distinct co-authors at Indiana University each year — a rough indication of whether the group around this researcher has been growing or contracting. An estimate from co-authorship, not a roster: collaborators are not necessarily lab members, and recent years can be under-counted while indexing catches up.
2017: 1 collaborator at the same institution2018: 0 collaborators at the same institution2019: 1 collaborator at the same institution2020: 0 collaborators at the same institution2021: 0 collaborators at the same institution2022: 0 collaborators at the same institution2023: 1 collaborator at the same institution2024: 0 collaborators at the same institution2025: 0 collaborators at the same institution1719212325
Recent publications
Publishes in
  • Lecture notes in computer science×25
  • AI Magazine×3
  • ICCBR Workshops×2
  • Frontiers in artificial intelligence and applications×2
  • HAL (Le Centre pour la Communication Scientifique Directe)×2
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By research-topic overlap

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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