Jakob Heiss

Physics and AstronomyDecision SciencesComputer ScienceBusiness, Management and Accounting

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 1 paper. Top paper: “CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk”.

CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk

arXiv (Cornell University)(2025)10.48550/arxiv.2507.08150

N/A

0DataRank · unranked

0 citations

Juraj Bodik, Jakob Heiss, Yu Bin, Ilia Azizi