Noam Siegelman

2.8k total citations · 1 hit paper
39 papers, 1.5k citations indexed

About

Noam Siegelman is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Noam Siegelman has authored 39 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Developmental and Educational Psychology, 17 papers in Cognitive Neuroscience and 12 papers in Artificial Intelligence. Recurrent topics in Noam Siegelman's work include Reading and Literacy Development (16 papers), Neurobiology of Language and Bilingualism (11 papers) and Language Development and Disorders (9 papers). Noam Siegelman is often cited by papers focused on Reading and Literacy Development (16 papers), Neurobiology of Language and Bilingualism (11 papers) and Language Development and Disorders (9 papers). Noam Siegelman collaborates with scholars based in United States, Israel and Spain. Noam Siegelman's co-authors include Ram Frost, Louisa Bogaerts, Morten H. Christiansen, Blair C. Armstrong, Jay G. Rueckl, Joanne Arciuli, Inbal Arnon, Devin M. Kearns, Robin D. Morris and Kenneth R. Pugh and has published in prestigious journals such as NeuroImage, Trends in Cognitive Sciences and Scientific Reports.

In The Last Decade

Noam Siegelman

35 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Domain generality versus modality specificity: the paradox of statistical learning

2015 352 citations Ram Frost, Blair C. Armstrong et al. Trends in Cognitive Sciences profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Noam Siegelman United States	17	1.0k	757	259	248	243	39	1.5k
Blair C. Armstrong United States	15	715 0.7×	962 1.3×	247 1.0×	333 1.3×	115 0.5×	44	1.4k
Luca L. Bonatti Spain	18	1.2k 1.2×	631 0.8×	275 1.1×	456 1.8×	195 0.8×	31	1.6k
Arnaud Rey France	22	898 0.9×	718 0.9×	181 0.7×	313 1.3×	150 0.6×	61	1.4k
Erik D. Thiessen United States	24	1.9k 1.9×	772 1.0×	411 1.6×	845 3.4×	171 0.7×	46	2.4k
Louisa Bogaerts Belgium	17	591 0.6×	551 0.7×	116 0.4×	130 0.5×	158 0.7×	38	963
Katharine Graf Estes United States	17	1.3k 1.2×	562 0.7×	175 0.7×	385 1.6×	44 0.2×	31	1.4k
Jay G. Rueckl United States	26	1.4k 1.4×	1.3k 1.7×	235 0.9×	416 1.7×	336 1.4×	64	1.9k
Juan M. Toro Spain	18	851 0.8×	832 1.1×	177 0.7×	491 2.0×	56 0.2×	51	1.4k
Sébastien Pacton France	16	1.4k 1.3×	683 0.9×	195 0.8×	173 0.7×	299 1.2×	30	1.7k
Suzanne Curtin Canada	23	1.6k 1.6×	694 0.9×	166 0.6×	800 3.2×	72 0.3×	59	2.0k

Countries citing papers authored by Noam Siegelman

Since Specialization

Citations

This map shows the geographic impact of Noam Siegelman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Noam Siegelman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noam Siegelman more than expected).

Fields of papers citing papers by Noam Siegelman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noam Siegelman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Noam Siegelman. The network helps show where Noam Siegelman may publish in the future.

Co-authorship network of co-authors of Noam Siegelman

This figure shows the co-authorship network connecting the top 25 collaborators of Noam Siegelman. A scholar is included among the top collaborators of Noam Siegelman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Noam Siegelman. Noam Siegelman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Edwards, Ashley A., et al.. (2025). Is the Role of Set for Variability in Word Reading Influenced by Conditions Leading to Partial Decoding?. Scientific Studies of Reading. 29(5). 455–469.

Schroeder, Sascha, et al.. (2025). Quantifying word informativeness and its impact on eye-movement reading behavior: Cross-linguistic variability and individual differences. Behavior Research Methods. 57(12). 343–343.

Bertram, Raymond, Tuomo Häikiö, Minna Lehtonen, et al.. (2025). Gender and home language effects on vocabulary skills among school children aged 9–15 in Finland. Scientific Reports. 15(1). 44832–44832.

Frost, Ram, et al.. (2024). HeLP: The Hebrew Lexicon project. Behavior Research Methods. 56(8). 8761–8783. 3 indexed citations

Fradkin, Isaac, Rick A. Adams, Noam Siegelman, Rani Moran, & Raymond J. Dolan. (2024). Latent mechanisms of language disorganization relate to specific dimensions of psychopathology. Nature Mental Health. 2(12). 1486–1497.

Siegelman, Noam, et al.. (2022). Attention Shifts to More Complex Structures With Experience. Psychological Science. 33(12). 2059–2072. 12 indexed citations

Siegelman, Noam, Jay G. Rueckl, Jason Chor Ming Lo, et al.. (2022). Quantifying the regularities between orthography and semantics and their impact on group- and individual-level behavior.. Journal of Experimental Psychology Learning Memory and Cognition. 48(6). 839–855. 9 indexed citations

Siegelman, Noam, et al.. (2021). Theory-driven classification of reading difficulties from fMRI data using Bayesian latent-mixture models. NeuroImage. 242. 118476–118476. 2 indexed citations

Siegelman, Noam, et al.. (2020). Individual Differences in Learning Abilities Impact Structure Addition: Better Learners Create More Structured Languages. Cognitive Science. 44(8). e12877–e12877. 9 indexed citations

10.

Edwards, Ashley, Laura M. Steacy, Noam Siegelman, et al.. (2020). Unpacking the Unique Relationship Between Set for Variability and Word Reading Development: Examining Word- and Child-Level Predictors of Performance. PsyArXiv (OSF Preprints). 1 indexed citations

11.

Siegelman, Noam, Devin M. Kearns, & Jay G. Rueckl. (2020). Using information-theoretic measures to characterize the structure of the writing system: the case of orthographic-phonological regularities in English. Behavior Research Methods. 52(3). 1292–1312. 26 indexed citations

12.

Siegelman, Noam, Jay G. Rueckl, Laura M. Steacy, et al.. (2020). Individual differences in learning the regularities between orthography, phonology and semantics predict early reading skills. Journal of Memory and Language. 114. 104145–104145. 42 indexed citations

13.

Siegelman, Noam, et al.. (2019). The Role of Information in Visual Word Recognition: A Perceptually-Constrained Connectionist Account. UvA-DARE (University of Amsterdam). 83–89. 2 indexed citations

14.

Siegelman, Noam, Louisa Bogaerts, Blair C. Armstrong, & Ram Frost. (2019). What exactly is learned in visual statistical learning? Insights from Bayesian modeling. Cognition. 192. 104002–104002. 19 indexed citations

15.

Bogaerts, Louisa, et al.. (2017). Is the Hebb repetition task a reliable measure of individual differences in sequence learning?. Quarterly Journal of Experimental Psychology. 71(4). 892–905. 16 indexed citations

16.

Linzen, Tal, Noam Siegelman, & Louisa Bogaerts. (2017). Prediction and uncertainty in an artificial language.. Cognitive Science. 1 indexed citations

17.

Siegelman, Noam, Louisa Bogaerts, Morten H. Christiansen, & Ram Frost. (2016). Towards a theory of individual differences in statistical learning. Philosophical Transactions of the Royal Society B Biological Sciences. 372(1711). 20160059–20160059. 130 indexed citations

18.

Bogaerts, Louisa, Noam Siegelman, & Ram Frost. (2016). Splitting the variance of statistical learning performance: A parametric investigation of exposure duration and transitional probabilities. Psychonomic Bulletin & Review. 23(4). 1250–1256. 21 indexed citations

19.

Frost, Ram, Blair C. Armstrong, Noam Siegelman, & Morten H. Christiansen. (2015). Domain generality versus modality specificity: the paradox of statistical learning. Trends in Cognitive Sciences. 19(3). 117–125. 352 indexed citations breakdown →

20.

Kinoshita, Sachiko, Dennis Norris, & Noam Siegelman. (2012). Transposed-letter priming effect in Hebrew in the same–different task. Quarterly Journal of Experimental Psychology. 65(7). 1296–1305. 18 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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