Michele J. Gelfand

Also affiliated with Stanford University

PsychologySocial 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: “Interdependent self-construal predicts reduced sensitivity to norms under pathogen threat: An electrocortical investigation”.

Interdependent self-construal predicts reduced sensitivity to norms under pathogen threat: An electrocortical investigation

Biological Psychology(2020)10.1016/j.biopsycho.2020.107970

N/A

0DataRank · unranked

16 citations

Brian Kraus, Joshua M. Ackerman, Michele J. Gelfand, Shinobu Kitayama, Cristina Salvador

Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning

PNAS Nexus(2022)10.1093/pnasnexus/pgac093

N/A

0DataRank · unranked

50 citations

Flavio Azevedo, Koustav De, Julián C. Riaño-Moreno, Marina Maglić, Theofilos Gkinopoulos +95 more