Adrian Staub

4.7k total citations
71 papers, 2.6k citations indexed

About

Adrian Staub is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Artificial Intelligence. According to data from OpenAlex, Adrian Staub has authored 71 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Cognitive Neuroscience, 48 papers in Developmental and Educational Psychology and 31 papers in Artificial Intelligence. Recurrent topics in Adrian Staub's work include Reading and Literacy Development (45 papers), Neurobiology of Language and Bilingualism (40 papers) and Text Readability and Simplification (27 papers). Adrian Staub is often cited by papers focused on Reading and Literacy Development (45 papers), Neurobiology of Language and Bilingualism (40 papers) and Text Readability and Simplification (27 papers). Adrian Staub collaborates with scholars based in United States, United Kingdom and Germany. Adrian Staub's co-authors include Daniel H. O’Connor, Mary C. Potter, Charles Clifton, Sarah J. White, Keith Rayner, Andrew L. Cohen, Denis Drieghe, Franziska Kretzschmar, Brian Dillon and Matthias Schlesewsky and has published in prestigious journals such as Cognition, Journal of Experimental Psychology Human Perception & Performance and Journal of Experimental Psychology General.

In The Last Decade

Adrian Staub

67 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Adrian Staub United States	28	2.1k	1.4k	662	592	277	71	2.6k
Roger P. G. van Gompel United Kingdom	24	1.3k 0.6×	878 0.6×	480 0.7×	583 1.0×	517 1.9×	43	1.8k
Kiel Christianson United States	25	1.8k 0.8×	1.5k 1.1×	493 0.7×	564 1.0×	482 1.7×	76	2.4k
Ralph Radach Germany	27	1.5k 0.7×	1.6k 1.2×	530 0.8×	536 0.9×	88 0.3×	79	2.6k
Denis Drieghe United Kingdom	29	1.8k 0.9×	2.0k 1.4×	714 1.1×	666 1.1×	199 0.7×	79	2.7k
Kathleen M. Eberhard United States	16	2.3k 1.1×	1.7k 1.2×	846 1.3×	1.4k 2.3×	821 3.0×	30	3.5k
Tessa Warren United States	16	1.2k 0.6×	1.0k 0.8×	421 0.6×	406 0.7×	312 1.1×	43	1.7k
Zenzi M. Griffin United States	18	1.8k 0.9×	1.6k 1.1×	448 0.7×	794 1.3×	707 2.6×	32	2.6k
Sara C. Sereno United Kingdom	29	2.5k 1.2×	2.1k 1.5×	569 0.9×	1.0k 1.8×	168 0.6×	49	3.5k
Timothy J. Slattery United Kingdom	22	1.4k 0.7×	1.5k 1.1×	484 0.7×	630 1.1×	135 0.5×	58	2.3k
Michael J. Spivey-Knowlton United States	10	2.0k 0.9×	1.3k 0.9×	864 1.3×	1.2k 2.1×	589 2.1×	13	2.9k

Countries citing papers authored by Adrian Staub

Since Specialization

Citations

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

Fields of papers citing papers by Adrian Staub

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adrian Staub

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Staub, Adrian. (2025). Sample size and its justification in the Journal of Memory and Language. Journal of Memory and Language. 142. 104622–104622. 1 indexed citations

Staub, Adrian. (2024). Predictability in Language Comprehension: Prospects and Problems for Surprisal. Annual Review of Linguistics. 11(1). 17–34. 7 indexed citations

Staub, Adrian, et al.. (2024). Perceptual inference corrects function word errors in reading: Errors that are not noticed do not disrupt eye movements. Cognitive Psychology. 154. 101691–101691. 2 indexed citations

Staub, Adrian & Simon P. Liversedge. (2024). Eye movements in reading at 50: An introduction to the Special Issue. Journal of Memory and Language. 137. 104528–104528.

Staub, Adrian, et al.. (2024). Estimating the rate of failure to notice function word errors in natural reading. Psychonomic Bulletin & Review. 32(2). 847–854. 1 indexed citations

Staub, Adrian. (2023). The function/content word distinction and eye movements in reading.. Journal of Experimental Psychology Learning Memory and Cognition. 50(6). 967–984. 4 indexed citations

Staub, Adrian, et al.. (2022). The transposed-word effect does not require parallel word processing: Failure to notice transpositions with serial presentation of words. Psychonomic Bulletin & Review. 30(1). 393–400. 17 indexed citations

Staub, Adrian, et al.. (2021). Using eye tracking to investigate failure to notice word transpositions in reading. Cognition. 216. 104846–104846. 28 indexed citations

Staub, Adrian. (2019). Eye Movement Interactions and Reliability. OSF Preprints (OSF Preprints).

10.

Kingston, John, et al.. (2015). Early Ganong effects.. ICPhS. 1 indexed citations

11.

Staub, Adrian, et al.. (2013). Individual differences in fixation duration distributions in reading. Psychonomic Bulletin & Review. 20(6). 1304–1311. 45 indexed citations

12.

Slattery, Timothy J., Adrian Staub, & Keith Rayner. (2011). Saccade launch site as a predictor of fixation durations in reading: Comments on Hand, Miellet, O'Donnell, and Sereno (2010).. Journal of Experimental Psychology Human Perception & Performance. 38(1). 251–261. 22 indexed citations

13.

Staub, Adrian. (2011). Word recognition and syntactic attachment in reading: Evidence for a staged architecture.. Journal of Experimental Psychology General. 140(3). 407–433. 47 indexed citations

14.

White, Sarah J. & Adrian Staub. (2011). The distribution of fixation durations during reading: Effects of stimulus quality.. Journal of Experimental Psychology Human Perception & Performance. 38(3). 603–617. 53 indexed citations

15.

Clifton, Charles & Adrian Staub. (2011). Syntactic influences on eye movements during reading. Oxford University Press eBooks. 16 indexed citations

16.

Staub, Adrian. (2010). The effect of lexical predictability on distributions of eye fixation durations. Psychonomic Bulletin & Review. 18(2). 371–376. 78 indexed citations

17.

Staub, Adrian. (2008). On the interpretation of the number attraction effect: Response time evidence. Journal of Memory and Language. 60(2). 308–327. 106 indexed citations

18.

Staub, Adrian. (2006). The return of the repressed: Abandoned parses facilitate syntactic reanalysis☆. Journal of Memory and Language. 57(2). 299–323. 20 indexed citations

19.

Staub, Adrian & Charles Clifton. (2006). Syntactic prediction in language comprehension: Evidence from either...or.. Journal of Experimental Psychology Learning Memory and Cognition. 32(2). 425–436. 169 indexed citations

20.

Potter, Mary C., Adrian Staub, & Daniel H. O’Connor. (2002). The time course of competition for attention: Attention is initially labile.. Journal of Experimental Psychology Human Perception & Performance. 28(5). 1149–1162. 189 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.

Explore authors with similar magnitude of impact