AI governance researcher building compliance-by-design architectures for EU electricity trading and DACH finance
2
papers here
2
reviewed by Evolve
2
first-author
0
corresponding
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works · OpenAlex
2
h-index · OpenAlex
Bibliometric figures come from OpenAlex (2026-10-02) 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—
Output is unscored: the OpenAlex record behind this profile is too fragmented to yield a reliable, deduplicated publication count. This axis would measure cumulative work volume and productivity normalized to field and career stage.
Impact—
Impact is unscored: the available citation signals are minimal (h-index 2, i10 index 0) and cannot support a percentile ranking. This axis would measure citation-based influence, uptake, and scholarly reach of the work.
Focus0/100
Focus scores 0, reflecting even spread rather than concentration: the profile splits exactly 0.5/0.5 between energy informatics/AI in electricity market trading and financial technology/AI governance (RegTech), and the five leading topic clusters are nearly equal in weight — blockchain applications (13), multi-agent systems (11), access control and trust (11), AI ethics (10), and smart grid security (8).
Collaboration28/100
Collaboration scores 28, driven by a small co-author network: only 3 distinct co-authors appear in the recent record, with Reinhard Magg and Wojtek Stricker the recurring partners. Both catalog papers are first-authored without a corresponding-author flag, consistent with a compact, stable working group rather than a wide collaborative web.
Activity100/100
Activity scores 100, the strongest signal in the profile: the OpenAlex record shows 51 works over the last three years, with 25 works in 2025 and 26 in 2026 — a flat, high-rate cadence with no gap. Such sustained volume is striking for an early-stage, citation-thin profile, though it also echoes the volume-over-validation pattern Evolve's reviews flagged.
Reproducibility20/100
Reproducibility scores 20 (reproMean 20 across 2 reviewed papers): both catalog entries carry low repro-readiness because they are purely conceptual artifacts — a compliance-by-design market architecture and a tiered multi-agent DLT framework — with no implementation, dataset, or empirical validation described, so the proposed systems cannot currently be independently reproduced.
Research summary
Walter Kurz is an early-stage researcher whose work sits at the junction of two regulated domains: European electricity market trading and financial-technology governance. The OpenAlex-resolved profile (ORCID 0009-0006-8045-4775) splits exactly 0.5/0.5 between energy informatics/AI in electricity market trading and financial technology/AI governance (RegTech) — an even dual focus that also drives the focus score to 0, since output spreads across five nearly equal topic clusters: blockchain applications (13), multi-agent systems (11), access control and trust (11), AI ethics (10), and smart grid security (8). Activity is the standout signal: 51 works over the last three years, with 25 recorded in 2025 and 26 in 2026, yielding an activity score of 100. Two 2026 arXiv preprints, both first-authored, anchor the Evolve catalog: a functional architecture for AI-supported trading under EU regulatory constraints, and a tiered multi-agent framework with DLT audit trails for DACH finance. Evolve's verdicts are consistent — competent regulatory synthesis, well formalized, but purely conceptual with no empirical validation — hence a reproducibility score of 20 (reproMean 20 across 2 papers). Collaboration is narrow (3 distinct co-authors, score 28), centred on Reinhard Magg and Wojtek Stricker. The citation footprint is minimal (h-index 2, i10 index 0), so output and impact remain unscored.
Collaboration pattern
The collaboration footprint is small and stable: 3 distinct co-authors and a collaboration score of 28, with Reinhard Magg and Wojtek Stricker as the recurring partners. Both reviewed papers are first-authored without a corresponding-author flag, suggesting a compact team in which Kurz leads the writing. The narrow network combined with the 100 activity score points to high-throughput production inside a fixed small group rather than expanding external partnerships; OpenAlex fragmentation may also understate real co-authorship.
Research keywords
Highlights
Compliance-by-design architecture for EU electricity trading
Tiered multi-agent framework with DLT audit trails for DACH finance
One methods playbook across two regulated domains
The same compliance-by-design, multi-agent, audit-trail toolkit is applied to both electricity trading and RegTech finance, matching the 0.5/0.5 field split in the bibliometric data; the trade-off is a reproducibility score of 20 shared by both papers.
Timeline
- 2025OpenAlex records 25 works in 2025, the first year of the current high-output run (51 works over the last three years).
- 2026First-authored arXiv preprint on the functional architecture of European electricity trading markets and requirements for AI-supported trading under regulatory constraints.
- 2026Second first-authored arXiv preprint proposes a tiered multi-agent framework with DLT audit trails for financial operations in the DACH region.
- 2026OpenAlex records 26 works in 2026; both catalog papers are reviewed by Evolve and rated low repro-readiness as purely conceptual architectures.
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 come from an OpenAlex snapshot only; no institution or country is present in the data, and the profile is name-resolved from public bibliographic records (ORCID 0009-0006-8045-4775).
- Output and impact dimensions are unscored because citation and coverage data are too thin (h-index 2, i10 index 0); OpenAlex fragmentation may undercount or misattribute works.
- Only 2 papers have been reviewed by Evolve; topic and keyword signals derive from the bibliometric snapshot, not from full-text assessment of the wider output.
- Both reviewed papers are conceptual arXiv preprints without empirical validation, so all quality judgments reflect design-stage work only.