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

Miriam Hauptman

Johns Hopkins University

ORCID: 0000-0002-5903-1552

Also affiliated with Johns Hopkins Medicine

NeurosciencePsychologyBiochemistry, Genetics and Molecular Biology

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 5 papers. Top paper: “Non-literal language processing is jointly supported by the language and Theory of Mind networks: Evidence from a novel meta-analytic fMRI approach”.

Non-literal language processing is jointly supported by the language and Theory of Mind networks: Evidence from a novel meta-analytic fMRI approach

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.03.08.481056
N/A
0DataRank · unranked
7 citations

Idan Blank, Evelina Fedorenko, Miriam Hauptman

Non-literal language processing is jointly supported by the language and theory of mind networks: Evidence from a novel meta-analytic fMRI approach

Cortex(2023)10.1016/j.cortex.2023.01.013
N/A
0DataRank · unranked
37 citations

Idan Blank, Evelina Fedorenko, Miriam Hauptman

Neural specialization for ‘visual’ concepts emerges in the absence of vision

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.08.23.552701
N/A
0DataRank · unranked
1 citations

Giulia V. Elli, Rashi Pant, Marina Bedny, Miriam Hauptman

Neural specialization for ‘visual’ concepts emerges in the absence of vision

Cognition(2025)10.1016/j.cognition.2024.106058
N/A
0DataRank · unranked
8 citations

Giulia V. Elli, Rashi Pant, Miriam Hauptman

Learning visual appearance from language is mediated by causal intuitive theories

eScholarship (California Digital Library)(2025)10.31234/osf.io/b6ncv_v1
N/A
0DataRank · unranked
0 citations

Sophia Keil, Barbara Landau, Marina Bedny, Miriam Hauptman