Benjamin P. Pritchard

Also affiliated with Virginia Tech

Materials ScienceBiochemistry, Genetics and Molecular BiologyPhysics and AstronomyComputer ScienceMedicine

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 2%percentile

4.4Author DataRank

Indexed papers

3in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 3 indexed papers 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 →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

SPICE, A Dataset of Drug-like Molecules and Peptides for Training Machine Learning Potentials

Scientific Data(2023)10.1038/s41597-022-01882-6

Top 7%

3.3DataRank

Top 7%171 citations

Pavan Kumar Behara, David Dotson, Raimondas Galvelis, John E. Herr, Joshua T. Horton +7 more

Papers

Driven by 6 papers — median percentile 79. Top paper: “SPICE, A Dataset of Drug-like Molecules and Peptides for Training Machine Learning Potentials”.