Hans C. Eggers
ORCID: 0000-0002-9982-4223Also affiliated with University of Toronto, Stellenbosch University, National Institute for Theoretical Physics, Max Planck Institute for the Structure and Dynamics of Matter
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.
Indexed papers
Why this DataRank?
An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.
Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.
Read the full methodology →Papers
Driven by 1 paper. Top paper: “Stochastic Gradient Annealed Importance Sampling for Efficient Online Marginal Likelihood Estimation”.
Stochastic Gradient Annealed Importance Sampling for Efficient Online Marginal Likelihood Estimation
Hans C. Eggers, Steve Kroon, Scott A. Cameron