Ariel Goldstein

1.2k total citations
8 papers, 429 citations indexed

About

Ariel Goldstein is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Artificial Intelligence. According to data from OpenAlex, Ariel Goldstein has authored 8 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cognitive Neuroscience, 3 papers in Developmental and Educational Psychology and 2 papers in Artificial Intelligence. Recurrent topics in Ariel Goldstein's work include Neural dynamics and brain function (2 papers), Early Childhood Education and Development (2 papers) and Urban Development and Societal Issues (1 paper). Ariel Goldstein is often cited by papers focused on Neural dynamics and brain function (2 papers), Early Childhood Education and Development (2 papers) and Urban Development and Societal Issues (1 paper). Ariel Goldstein collaborates with scholars based in United States, Israel and Italy. Ariel Goldstein's co-authors include Uri Hasson, Samuel A. Nastase, Matthew Quirk, Erin Dowdy, Roseanne D. Dobkin, Roi Reichart, Sebastian Michelmann, Refael Tikochinski, Jeffrey M. Zacks and Steven M. Silverstein and has published in prestigious journals such as Nature Communications, Neuron and NeuroImage.

In The Last Decade

Ariel Goldstein

8 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ariel Goldstein United States 6 256 77 68 67 43 8 429
Vikranth R. Bejjanki United States 9 378 1.5× 52 0.7× 33 0.5× 146 2.2× 85 2.0× 16 516
Patrick Garrigan United States 11 250 1.0× 33 0.4× 62 0.9× 87 1.3× 38 0.9× 23 425
Natalia I. Córdova United States 7 377 1.5× 118 1.5× 43 0.6× 45 0.7× 101 2.3× 7 538
Wolfgang Mack Germany 11 211 0.8× 45 0.6× 81 1.2× 86 1.3× 92 2.1× 46 434
Rajan Bhattacharyya United States 8 324 1.3× 65 0.8× 73 1.1× 44 0.7× 67 1.6× 27 415
Carl Erick Hagmann United States 9 247 1.0× 22 0.3× 46 0.7× 84 1.3× 40 0.9× 16 411
Rosario Tomasello Germany 13 332 1.3× 55 0.7× 174 2.6× 128 1.9× 65 1.5× 27 475
Cai Wingfield United Kingdom 6 554 2.2× 72 0.9× 112 1.6× 107 1.6× 107 2.5× 13 665
Nicole M. Gage United States 12 552 2.2× 39 0.5× 37 0.5× 111 1.7× 132 3.1× 15 682
Maryam Vaziri-Pashkam United States 14 476 1.9× 35 0.5× 81 1.2× 52 0.8× 29 0.7× 38 593

Countries citing papers authored by Ariel Goldstein

Since Specialization
Citations

This map shows the geographic impact of Ariel Goldstein'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 Ariel Goldstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ariel Goldstein more than expected).

Fields of papers citing papers by Ariel Goldstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ariel Goldstein. 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 Ariel Goldstein. The network helps show where Ariel Goldstein may publish in the future.

Co-authorship network of co-authors of Ariel Goldstein

This figure shows the co-authorship network connecting the top 25 collaborators of Ariel Goldstein. A scholar is included among the top collaborators of Ariel Goldstein 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 Ariel Goldstein. Ariel Goldstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Tikochinski, Refael, et al.. (2025). Incremental accumulation of linguistic context in artificial and biological neural networks. Nature Communications. 16(1). 803–803. 7 indexed citations
2.
Goldstein, Ariel, et al.. (2023). Bayesian Surprise Predicts Human Event Segmentation in Story Listening. Cognitive Science. 47(10). e13343–e13343. 8 indexed citations
3.
Demmin, Docia, et al.. (2020). Flash Electroretinography Parameters and Parkinson’s Disease. Journal of Parkinson s Disease. 11(1). 251–259. 8 indexed citations
4.
Goldstein, Ariel. (2020). O SUCESSO DAS “GUERRAS CULTURAIS” NA CAMPANHA 2018:. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 2(26). c20148–c20148. 3 indexed citations
5.
Nastase, Samuel A., Ariel Goldstein, & Uri Hasson. (2020). Keep it real: rethinking the primacy of experimental control in cognitive neuroscience. NeuroImage. 222. 117254–117254. 180 indexed citations
6.
Hasson, Uri, Samuel A. Nastase, & Ariel Goldstein. (2020). Direct Fit to Nature: An Evolutionary Perspective on Biological and Artificial Neural Networks. Neuron. 105(3). 416–434. 197 indexed citations
7.
Quirk, Matthew, et al.. (2017). School Readiness as a Longitudinal Predictor of Social-Emotional and Reading Performance Across the Elementary Grades. Assessment for Effective Intervention. 42(4). 248–253. 21 indexed citations
8.
Quirk, Matthew, et al.. (2017). Literacy Screening Among Latino/a and Dual Language Learner Kindergarteners: Predicting First Grade Reading Achievement. Literacy Research and Instruction. 56(3). 250–267. 5 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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2026