Nathan Glatt-Holtz

Economics, Econometrics and FinanceMathematicsEngineering

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 3 papers. Top paper: “On the surprising effectiveness of a simple matrix exponential derivative approximation, with application to global SARS-CoV-2”.

On the surprising effectiveness of a simple matrix exponential derivative approximation, with application to global SARS-CoV-2

Proceedings of the National Academy of Sciences(2024)10.1073/pnas.2318989121

N/A

0DataRank · unranked

6 citations

Nathan Glatt-Holtz, Andrew J. Holbrook, Andrew F. Magee, Marc A. Suchard, Gustavo Didier

Parallel MCMC algorithms: theoretical foundations, algorithm design, case studies

Transactions of Mathematics and Its Applications(2024)10.1093/imatrm/tnae004

N/A

0DataRank · unranked

6 citations

Andrew J. Holbrook, Justin Krometis, Cecilia F. Mondaini, Nathan Glatt-Holtz

Sacred and Profane: from the Involutive Theory of MCMC to Helpful Hamiltonian Hacks

arXiv (Cornell University)(2024)10.48550/arxiv.2410.17398

N/A

0DataRank · unranked

0 citations

Andrew J. Holbrook, Justin Krometis, Cecilia F. Mondaini, Ami Sheth, Nathan Glatt-Holtz