LabCompass

Sandra Kübler

Computer Science · Indiana University

Established · publishing since 1998Rising activity

Publications

168

Citations

3,959

Est. group size

~2

Recurring co-author estimate

Active years

29

Publishing since 1998

Research summary
AI-generated

Sandra K ernsubler works in natural language processing (NLP), the branch of computer science focused on getting computers to understand and analyze human language. Her recent work spans automatic detection of hate speech and abusive online language, parsing the grammatical structure of text across many languages (including Arabic dialects and low-resource languages like Saraiki), and applying language models to social and health-related text such as tweets. She also studies annotation practices\the process of labeling text data\and how disagreement and bias affect NLP systems.

Natural language processingHate speech and abusive language detectionMultilingual dependency parsingText annotation and data biasAuthorship and machine-text detection

Publication activity was steady at around 7 papers per year through the late 2010s, dipped in 2022\2023, then rose sharply in 2024 before returning to a moderate level.

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: 3,959cohort median 1,725
h-index: 24cohort median 19
Publications / year (recent): 6.0cohort median 4.2

Typically publishes in teams of ~3 · 58% small-team papers (≤3 authors) · across 23 venues

Publication cadence
Publications per year over the last 10 years — averaging 6.0/year recently
2017: 11 publications172018: 7 publications182019: 7 publications192020: 7 publications202021: 6 publications212022: 3 publications222023: 4 publications232024: 14 publications14242025: 7 publications252026: 2 publications26
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: 4 collaborators at the same institution2018: 2 collaborators at the same institution2019: 12 collaborators at the same institution2020: 2 collaborators at the same institution2021: 3 collaborators at the same institution2022: 5 collaborators at the same institution2023: 8 collaborators at the same institution2024: 14 collaborators at the same institution2025: 7 collaborators at the same institution1719212325
Recent publications
Publishes in
  • arXiv (Cornell University)×7
  • International conference Recent advances in natural language processing×3
  • Natural Language Engineering×2
  • Language Resources and Evaluation×2
  • Politics Groups and Identities×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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