Benjamin J. Liebeskind

Agricultural and Biological SciencesBiochemistry, Genetics and Molecular BiologyEarth and Planetary SciencesNeuroscience

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 2 papers. Top paper: “Deep Learning and Likelihood Approaches for Viral Phylogeography Converge on the Same Answers Whether the Inference Model Is Right or Wrong”.

Deep Learning and Likelihood Approaches for Viral Phylogeography Converge on the Same Answers Whether the Inference Model Is Right or Wrong

Systematic Biology(2024)10.1093/sysbio/syad074

N/A

0DataRank · unranked

32 citations

Benjamin J. Liebeskind, Erik J. Scully, Michael J. Landis, Ammon Thompson

Quantifying Transcriptome Turnover on Phylogenies by Modeling Gene Expression as a Binary Trait

Molecular Biology and Evolution(2025)10.1093/molbev/msaf106

N/A

0DataRank · unranked

2 citations

Michael R. May, Ben R. Hopkins, Nerisa Riedl, Olga Barmina, Benjamin J. Liebeskind +4 more