LabCompass

John Paparrizos

Computer Science · The Ohio State University

OpenAlex ORCID
Mid career · publishing since 2015Rising activity
Time Series Analysis and ForecastingAnomaly Detection Techniques and ApplicationsComplex Systems and Time Series AnalysisNetwork Security and Intrusion DetectionData Stream Mining Techniques

Publications

57

Citations

2,504

Est. group size

~3

Recurring co-author estimate

Active years

12

Publishing since 2015

Research summary
AI-generated

John Paparrizos works on managing and analyzing time-series data, with a particular focus on detecting anomalies (unusual patterns) in sequences of measurements over time, as well as clustering, segmenting, and compressing such data efficiently. Much of the work builds practical tools and benchmarks for evaluating these methods, and also touches on explaining machine learning predictions (Shapley value approximations) for tabular data. This research is aimed at improving database and data-management systems that handle large-scale time-series and streaming data.

Time-series anomaly detectionTime-series clustering and segmentationBenchmarking and evaluation measures for data mining methodsSymbolic and compressed representations of time seriesExplainable machine learning (Shapley value approximation)

Publication output has grown substantially over the past decade, rising from occasional single papers per year before 2020 to a sharp increase in 2024-2025, indicating an actively growing research output.

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

Publication cadence
Publications per year over the last 10 years — averaging 7.6/year recently
2017: 1 publication17182019: 3 publications192020: 2 publications202021: 6 publications212022: 4 publications222023: 4 publications232024: 9 publications242025: 15 publications15252026: 6 publications26
Recent publications
Publishes in
  • Proceedings of the VLDB Endowment×18
  • arXiv (Cornell University)×7
  • Proceedings of the ACM on Management of Data×6
  • The VLDB Journal×2
  • ACM SIGMOD Record×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 19, 2026.

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