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Paul Schmiedmayer

Stanford University

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About Paul Schmiedmayer at Stanford University (Stanford)

Paul Schmiedmayer is a researcher based at Stanford University. They specialize in Machine Learning in Healthcare, Topic Modeling, and IoT and Edge/Fog Computing, with ongoing contributions to these areas. Their body of work spans 40 publications, reflecting steady engagement with the academic community.

Research Areas

Machine Learning in HealthcareTopic ModelingIoT and Edge/Fog ComputingElectronic Health Records SystemsMobile Health and mHealth Applications

Academic Impact Matrix

Research output metrics for Paul Schmiedmayer aggregated from public academic databases. Student lab experience data is pending.

Academic data verified · April 2026 · Next sync: May 2026

Research Output

Total Citations87

Emerging researcher

Publications40

Selective publication record

h-index6

Developing track record

i10-index2

Early-stage portfolio

Lab Environment

No lab data yet for Paul Schmiedmayer

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Top Publications

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