🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Michael Zeifman

Fraunhofer USA Center for Manufacturing Innovation

ORCID: 0000-0003-2018-257X
EngineeringEarth and Planetary SciencesMathematics

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.

N/A
0Author DataRank · unranked

Indexed papers

1in 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 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 →

Top data-sharing exemplar

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

Thermal discomfort prediction with sparse residential thermostat dataset

Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation(2023)10.1145/3600100.3626280
Top 100%
0DataRank
Top 100%0 citations

Michael Zeifman, Kurt Roth, Hannah Fontenot

Papers

Driven by 1 paper — median percentile 0. Top paper: Thermal discomfort prediction with sparse residential thermostat dataset.

Thermal discomfort prediction with sparse residential thermostat dataset

Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation(2023)10.1145/3600100.3626280
Top 100%
0DataRank
Top 100%0 citations

Michael Zeifman, Kurt Roth, Hannah Fontenot