LabCompass

Christopher Raphael

Computer Science · Indiana University

OpenAlex
Established · publishing since 1992

Publications

77

Citations

1,395

Est. group size

Recurring co-author estimate

Active years

31

Publishing since 1992

Research summary
AI-generated

Christopher Raphael works at the intersection of computer science and music, developing computational methods to analyze, recognize, and generate music. His projects include systems that read printed music scores using a mix of automatic recognition and human guidance, statistical models for capturing how musicians interpret and shape performances, and tools for synthesizing expressive instrumental sound and coordinating virtual musical ensembles.

Music and audio processingOptical music recognition (reading printed scores)Statistical models of musical performanceExpressive instrument synthesisHuman-in-the-loop computing for music

Publication activity over the last decade has been low and intermittent, with a few papers per year through 2022 and no listed output afterward.

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.

6 earlier awards
  • NSF 1526473Sep 2015 – Aug 2019 · $496k awarded

    CHS: Small: Human-Directed Optical Music Recognition

  • NSF 1257141Oct 2012 – Sep 2014 · $86k awarded

    EAGER: Large Scale Optical Music Recognition on the International Music Core Library Project

  • NSF 0812244Sep 2008 – Aug 2012 · $450k awarded

    RI-Small: Real-Time Planning of a Conductable Orchestra

  • NSF 0739563Sep 2007 – Feb 2009

    Representation and Learning of Musical Expression in Melody

  • NSF 0534694Sep 2005 – Aug 2008 · $302k awarded

    Predictive Distributed Musical Performance

  • NSF 0501226Sep 2004 – Aug 2005 · $243k awarded

    ITR/IM (CSE): Musical Signal Recognition

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: 1,395cohort median 1,725
h-index: 19cohort median 19
Publications / year (recent): 0.6cohort median 4.2

Typically publishes in teams of ~3 · 58% small-team papers (≤3 authors) · across 7 venues

Publication cadence
Publications per year over the last 10 years — averaging 0.6/year recently
2017: 2 publications172018: 1 publication182019: 3 publications319202021: 1 publication212022: 3 publications32223242526
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: 0 collaborators at the same institution2018: 0 collaborators at the same institution2019: 1 collaborator at the same institution2020: 0 collaborators at the same institution2021: 3 collaborators at the same institution2022: 1 collaborator at the same institution2023: 0 collaborators at the same institution2024: 0 collaborators at the same institution2025: 0 collaborators at the same institution1719212325
Publishes in
  • Zenodo (CERN European Organization for Nuclear Research)×3
  • Asia Pacific Management Review×1
  • INTENSIF Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi×1
  • Electronic Imaging×1
  • arXiv (Cornell University)×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 27, 2026.

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