ML security researcher uniting model watermarking and applied cryptography atop a long-running localization record.
2
papers here
2
reviewed by Evolve
0
first-author
0
corresponding
—
works · OpenAlex
25
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 computable: this axis would aggregate total works, venues, and per-year production. The snapshot exposes only coarse yearly counts (30 works in 2022; 72 in the last three years), too coarse for scoring.
Impact—
Impact scoring is unavailable: this axis would weigh aggregate citations, citation velocity, and landmark works. Although an h-index of 25 is recorded, the per-paper citation detail required to compute the axis is absent.
Focus0/100
The focus score of 0 reflects exceptional topical breadth rather than thin output: the record spreads across at least five large topic clusters — indoor/outdoor localization (46 works), quantum computing (28), optical wireless communication (25), reinforcement learning in robotics (24), and domain adaptation/few-shot learning (21) — and the current field distribution splits evenly (0.5/0.5) between model watermarking and ML security with applied cryptography.
Collaboration41/100
Collaboration scores 41, a moderate value: the recent window records 72 works with only 7 distinct coauthors, indicating a compact, recurring team rather than a wide network. The same names dominate — Tobias Feigl, Redwanul Karim, Felix Ott, Nisha L. Raichur, and Lucas Heublein — and in both reviewed 2026 papers Mutschler sits in a middle author position without the corresponding-author role.
Activity100/100
Activity tops the scale at 100. Annual output has climbed from single digits in the mid-2010s (1 work in 2015; 3 in each of 2016 and 2017) to a sustained high plateau — 30 works in 2022, 27 in 2024, 26 in 2025, and 19 already logged in 2026 — with 72 works in the recent three-year window, the strongest pace in the record.
Reproducibility55/100
Reproducibility stands at 55, computed from Evolve's review of 2 papers. Both catalog entries — TwinMark and ZK-Trace — carry medium reproducibility readiness: TwinMark ships broad, strong experiments whose survival certificates are vacuous on attacked cells, while ZK-Trace offers rigorous certified bounds resting on an untested independence assumption.
Research summary
Christopher Mutschler, affiliated with the Lutheran University of Applied Sciences Nuremberg (Germany), presents a bibliometric record that pairs a long-running systems research agenda with a sharp recent pivot into machine learning security. The OpenAlex-indexed profile spans 2011–2026 and shows sustained acceleration: from single-digit annual outputs in the mid-2010s to 30 works in 2022, 27 in 2024, and 26 in 2025, with 19 already recorded for 2026 and 72 works over the recent three-year window. An h-index of 25 and i10-index of 50 indicate a mature citation base, although per-paper impact metrics are not available in this snapshot. Topic counts reveal the arc: indoor and outdoor localization technologies lead with 46 works, followed by quantum computing algorithms and architecture (28), optical wireless communication (25), reinforcement learning in robotics (24), and domain adaptation and few-shot learning (21). The current field distribution splits evenly between model watermarking/IP protection and machine learning security with applied cryptography. Evolve's catalog reviews two 2026 arXiv papers — TwinMark, a dual-channel feature/logit watermark surviving knowledge distillation, and ZK-Trace, pairing Tardos fingerprinting with zero-knowledge credentials for federated GNSS interference monitoring — both middle-author, non-corresponding contributions with medium reproducibility readiness and an assessed reproducibility mean of 55.
Collaboration pattern
The collaboration footprint is compact and highly stable: 7 distinct coauthors accompany 72 recent works, and the recurring roster — Tobias Feigl, Redwanul Karim, Felix Ott, Nisha L. Raichur, and Lucas Heublein — dominates across the record. In the two 2026 catalog papers Mutschler appears as a middle author and is not the corresponding author, consistent with a long-tenured member of a stable core team rather than a hub coordinating dispersed external collaborations.
Research keywords
Highlights
TwinMark: dual-channel watermark that survives feature and logit distillation
ZK-Trace: certified collusion tracing for federated GNSS monitoring
From localization systems to ML security at record pace
OpenAlex topic counts chart the move: indoor/outdoor localization leads with 46 works, yet the current field distribution splits evenly between model watermarking/IP protection and ML security with applied cryptography, and output jumped to 30 works in 2022 and 72 over the recent three years.
Timeline
- 2011First recorded publications in the OpenAlex record (4 works), opening a run that continues through 2026.
- 2018Annual output jumps to 13 works, up from 3 in 2017 — the first clear acceleration signal.
- 2022Peak annual output of 30 works, more than double any prior year in the record.
- 202427 works published, confirming a sustained high-output plateau (26 more follow in 2025).
- 2026Two reviewed papers enter the Evolve catalog — TwinMark and ZK-Trace (both arXiv, middle author, non-corresponding); 19 works are already logged this year.
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.
- Bibliometrics (h-index, i10-index, yearly counts, topics) come from an OpenAlex-indexed snapshot; citation and venue detail beyond these aggregates is not included.
- Output and impact axis scores are missing — per-work citation data was not available, so those radar axes are unscored rather than low.
- Evolve's reproducibility mean (55) rests on only 2 reviewed papers, both 2026 arXiv preprints with middle-author positions.
- Identity is name-resolved from public OpenAlex bibliographic data (ORCID 0000-0001-8108-0230); affiliation and role details beyond the provided record were not verified.