Matthew D. Koslovsky

ORCID: 0000-0001-5144-2042

Computer ScienceBiochemistry, Genetics and Molecular BiologyMathematicsMedicine

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: “Infinite Hidden Markov Models for Multiple Multivariate Time Series with Missing Data”.

Infinite Hidden Markov Models for Multiple Multivariate Time Series with Missing Data

Biometrics(2022)10.1111/biom.13715

N/A

0.208DataRank · unranked

3 citations

Matthew D. Koslovsky, Kirsten Koehler, Nicholas Good, Jennifer L. Peel, John Volckens +2 more

TRIO RVEMVS: A Bayesian framework for rare variant association analysis with expectation-maximization variable selection using family trio data

PLoS ONE(2024)10.1371/journal.pone.0314502

N/A

0DataRank · unranked

0 citations

Matthew D. Koslovsky, Margaret C. Steiner, Kusha Mohammadi, Chenguang Zhang, Michael D. Swartz +1 more

Evaluating statistical methods to predict indoor black carbon in an urban birth cohort

Indoor Environments(2025)10.1016/j.indenv.2025.100084

N/A

0DataRank · unranked

0 citations

Grace Kuiper, Sheena E. Martenies, Matthew D. Koslovsky, William B. Allshouse, John L. Adgate +4 more