LMU Klinikum researcher in causal inference and healthcare ML, now evaluating LLM-assisted learning and XAI quality
2
papers here
2
reviewed by Evolve
0
first-author
0
corresponding
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works · OpenAlex
43
h-index · OpenAlex
Bibliometric figures come from OpenAlex (2026-10-16) and cover the author's entire public record, not just the papers listed here. Reproducibility signal comes from Evolve's own reviews.
Research profile
Output—
Not yet scored: the current snapshot lacks a reliable total-publication count. This axis would measure cumulative output volume, its growth trajectory, and the share of first- or corresponding-author papers across venues and years.
Impact—
Not yet scored: field-normalized citation data is insufficient for this axis, even though the snapshot lists an h-index of 43 and an i10-index of 140. Impact would measure citation influence adjusted for field, publication year, and authorship role.
Focus0/100
Scores 0, indicating no concentration in a single field: the reviewed record splits evenly, 50% explainable AI / machine learning evaluation and 50% human-computer interaction in AI in education. Topical tags reinforce this breadth, spanning causal inference (62), healthcare machine learning (47), topic modeling (32), misinformation (32), and sentiment analysis (29).
Collaboration41/100
Scores 41, a moderate collaboration footprint: the current snapshot traces 7 distinct coauthors. Recurring names include Yanfei Hu Fleischhauer, Alona Zharova, Nadja Klein, Sebastian Maier, Kai Schwabe, and Manuel Schneider. Both reviewed 2026 papers place Feuerriegel in the last author position, consistent with senior or supervisory authorship rather than solo work.
Activity100/100
Scores 100, the strongest axis in this profile. Indexed works climbed from single digits annually in the early 2010s (1 in 2010) to 15 in 2015, 29 in 2020, 43 in 2023, 53 in 2025, and 64 in 2026, with 151 works across the most recent three-year window — sustained and still-accelerating output.
Reproducibility78/100
Scores 78, computed from Evolve's screening of 2 papers (mean 78). Designing Against Deskilling rates high on the strength of its preregistered 704-participant experiment, while XAI-Arena rates medium, with thin human validation and pseudoreplicated statistics flagged in review. Preregistration and open design appear to drive the above-average readiness.
Research summary
Stefan Feuerriegel is a researcher at LMU Klinikum in Germany whose OpenAlex-resolved record spans methods-oriented AI work and applied data science. Indexed output has grown steadily, from single-digit annual counts in the early 2010s to 15 works in 2015, 29 in 2020, 43 in 2023, 53 in 2025 and 64 in 2026, with 151 works over the most recent three-year window; the citation profile carries an h-index of 43 and an i10-index of 140. Topic tags rank Advanced Causal Inference Techniques (62), Machine Learning in Healthcare (47), Topic Modeling (32), Misinformation and Its Impacts (32) and Sentiment Analysis and Opinion Mining (29) as leading themes. The two papers Evolve has reviewed, both 2026 arXiv preprints with Feuerriegel in the last author position, sit in explainable AI / machine-learning evaluation and human-computer interaction for AI in education: XAI-Arena asks whether large language models can judge the quality of XAI explanations, while Designing Against Deskilling reports a preregistered 704-participant experiment in which metacognitive feedback reduced cognitive offloading to LLM assistants and improved unaided test scores. Evolve's reproducibility screening across these two papers yields a mean score of 78, and collaboration traces 7 distinct coauthors in the current snapshot.
Collaboration pattern
Collaboration in this snapshot is moderate (dimension score 41), with 7 distinct coauthors traced. Recurring partners include Yanfei Hu Fleischhauer, Alona Zharova, Nadja Klein, Sebastian Maier, Kai Schwabe, and Manuel Schneider. On both reviewed 2026 papers Feuerriegel appears in the last author position without corresponding-author status, a pattern consistent with senior or supervisory authorship on group projects.
Research keywords
Highlights
Preregistered evidence that metacognitive feedback curbs LLM answer offloading
LLM-as-a-judge benchmark for XAI explanation quality
Timeline
- 2010Earliest year in the indexed record, with 1 work recorded in the counts-by-year series.
- 2015Output reached 15 indexed works, marking steady growth through the mid-2010s.
- 202029 indexed works — roughly double the 2015 level as the record accelerated.
- 202343 indexed works in a record spanning causal inference, healthcare machine learning, and text analytics themes.
- 202553 indexed works; the trailing three-year window totals 151 works.
- 202664 indexed works so far, including both Evolve-reviewed papers (XAI-Arena; Designing Against Deskilling), with Feuerriegel as last author on each.
Papers in the Evolve catalog
Frequent co-authors
About this profile
This profile is AI-structured by Evolve.Pub from public bibliographic data (OpenAlex) and Evolve's own paper reviews. It is not written or endorsed by the researcher unless the profile is claimed. Radar dimensions are computed from real bibliometrics with fixed formulas — raw figures are shown alongside; missing dimensions mean insufficient data, never zero. Errors? Claim the profile to correct or hide it.
- Bibliometric indicators (h-index, i10-index, per-year counts, coauthor and topic data) come from an OpenAlex-resolved snapshot and may not reflect the complete publication record.
- The reviewed sample is small — two 2026 arXiv preprints — so the 50/50 field split and the reproducibility mean of 78 rest on only these papers.
- Output and impact dimensions are not scored because the underlying data is insufficient in this snapshot; no values are estimated.
- The frequent-coauthor list includes the researcher's own name, indicating possible name-disambiguation noise; identity is resolved from public bibliographic data only.