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

Noam Siegelman

Hebrew University of Jerusalem

ORCID: 0000-0002-5005-4838

PsychologyNeuroscienceComputer Science

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 9 papers. Top paper: “Using information-theoretic measures to characterize the structure of the writing system: the case of orthographic-phonological regularities in English”.

Using information-theoretic measures to characterize the structure of the writing system: the case of orthographic-phonological regularities in English

Behavior Research Methods(2020)10.3758/s13428-019-01317-y

N/A

0.568DataRank · unranked

43 citations

Devin M. Kearns, Jay G. Rueckl, Noam Siegelman

Temporal structure of natural language processing in the human brain corresponds to layered hierarchy of large language models

Nature Communications(2025)10.1038/s41467-025-65518-0

N/A

0.345DataRank · unranked

9 citations

Eric Ham, Mariano Schain, Samuel A. Nastase, Bobbi Aubrey, Zaid Zada +17 more

Theory-driven classification of reading difficulties from fMRI data using Bayesian latent-mixture models

NeuroImage(2021)10.1016/j.neuroimage.2021.118476

N/A

0.269DataRank · unranked

5 citations

Mark R. van den Bunt, Jason Chor Ming Lo, Jay G. Rueckl, Kenneth R. Pugh, Noam Siegelman

Memory representations are flexibly adapted to orthographic systems: A comparison of English and Hebrew

Brain Research(2024)10.1016/j.brainres.2024.149127

N/A

0.104DataRank · unranked

1 citations

Abigail Laver, Noam Siegelman, Richard Ν. Aslin, Erin S. Isbilen

Individual differences in learning the regularities between orthography, phonology and semantics predict early reading skills

Journal of Memory and Language(2020)10.1016/j.jml.2020.104145

N/A

0DataRank · unranked

73 citations

Jay G. Rueckl, Laura M. Steacy, Stephen J. Frost, Mark van den Bunt, Jason D. Zevin +5 more

Finding words in a sea of text: Word search as a measure of sensitivity to statistical regularities in reading.

Journal of Experimental Psychology Learning Memory and Cognition(2025)10.1037/xlm0001412

N/A

0DataRank · unranked

0 citations

Abigail Laver, Noam Siegelman, James S. Magnuson, Richard Ν. Aslin, Erin S. Isbilen

How you read affects what you gain: Individual differences in the functional organization of the reading system predict intervention gains in children with reading disabilities.

Journal of Educational Psychology(2021)10.1037/edu0000672

N/A

0DataRank · unranked

18 citations

Jay G. Rueckl, Mark van den Bunt, Jan C. Frijters, Jason D. Zevin, Maureen W. Lovett +4 more

Quantifying the regularities between orthography and semantics and their impact on group- and individual-level behavior.

Journal of Experimental Psychology Learning Memory and Cognition(2022)10.1037/xlm0001109

N/A

0DataRank · unranked

20 citations

Jay G. Rueckl, Jason Chor Ming Lo, Devin M. Kearns, Robin D. Morris, Donald L. Compton +1 more

The impact of computer–assisted technology on literacy acquisition during COVID-19-related school closures: Group–level effects and predictors of individual–level outcomes

Frontiers in Psychology(2022)10.3389/fpsyg.2022.1001555

N/A

0DataRank · unranked

10 citations

Noam Siegelman, Kelly Mahaffy, Mark van den Bunt, Devin M. Kearns, Nicole Landi +4 more