Ian Neath

4.7k total citations · 1 hit paper
115 papers, 3.4k citations indexed

About

Ian Neath is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Developmental and Educational Psychology. According to data from OpenAlex, Ian Neath has authored 115 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Cognitive Neuroscience, 40 papers in Experimental and Cognitive Psychology and 38 papers in Developmental and Educational Psychology. Recurrent topics in Ian Neath's work include Memory Processes and Influences (73 papers), Neural and Behavioral Psychology Studies (24 papers) and Visual and Cognitive Learning Processes (22 papers). Ian Neath is often cited by papers focused on Memory Processes and Influences (73 papers), Neural and Behavioral Psychology Studies (24 papers) and Visual and Cognitive Learning Processes (22 papers). Ian Neath collaborates with scholars based in United States, Canada and United Kingdom. Ian Neath's co-authors include Aimée M. Surprenant, Gordon D. A. Brown, Nick Chater, Robert G. Crowder, James S. Nairne, Tamra J. Bireta, Annie Jalbert, Denny C. LeCompte, Matt Serra and E. J. Capaldi and has published in prestigious journals such as Psychological Review, Behavioral and Brain Sciences and Journal of Experimental Psychology Learning Memory and Cognition.

In The Last Decade

Ian Neath

108 papers receiving 3.2k citations

Hit Papers

A temporal ratio model of memory. 2007 2026 2013 2019 2007 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ian Neath United States 30 2.8k 1.1k 994 672 336 115 3.4k
Jeroen G. W. Raaijmakers Netherlands 28 2.1k 0.7× 904 0.8× 651 0.7× 466 0.7× 465 1.4× 74 3.0k
Hedderik van Rijn Netherlands 36 2.8k 1.0× 698 0.6× 921 0.9× 491 0.7× 458 1.4× 174 3.9k
Hannah Rohde United Kingdom 23 1.3k 0.5× 1.2k 1.1× 1.0k 1.0× 1.1k 1.7× 255 0.8× 89 3.3k
Gert Storms Belgium 30 1.4k 0.5× 1.3k 1.2× 1.1k 1.1× 995 1.5× 541 1.6× 174 3.7k
Laurie A. Stowe Netherlands 24 2.5k 0.9× 1.8k 1.6× 908 0.9× 427 0.6× 509 1.5× 57 3.7k
Richard Shillcock United Kingdom 31 1.9k 0.7× 2.0k 1.8× 1.4k 1.4× 1.3k 1.9× 301 0.9× 102 4.2k
Emmanuel Keuleers Belgium 25 2.7k 1.0× 2.5k 2.3× 1.4k 1.4× 1.4k 2.0× 388 1.2× 44 4.6k
Andrew Kehler United States 23 1.1k 0.4× 947 0.9× 943 0.9× 1.4k 2.1× 179 0.5× 71 3.2k
M. Teresa Bajo Spain 34 2.6k 0.9× 1.6k 1.5× 955 1.0× 394 0.6× 277 0.8× 165 3.7k
Chris Westbury Canada 26 2.2k 0.8× 1.2k 1.1× 1.1k 1.1× 499 0.7× 556 1.7× 70 3.4k

Countries citing papers authored by Ian Neath

Since Specialization
Citations

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

Fields of papers citing papers by Ian Neath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Neath

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

All Works

20 of 20 papers shown
1.
Neath, Ian, et al.. (2024). Distinctiveness, not dual coding, explains the picture-superiority effect. Quarterly Journal of Experimental Psychology. 78(1). 180–191. 2 indexed citations
2.
Neath, Ian, et al.. (2022). Valence does not affect recognition.. Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale. 76(2). 111–121. 5 indexed citations
3.
Neath, Ian, et al.. (2021). Re-assessing age of acquisition effects in recognition, free recall, and serial recall. Memory & Cognition. 49(5). 939–954. 8 indexed citations
4.
Bireta, Tamra J., Dominic Guitard, Ian Neath, & Aimée M. Surprenant. (2021). Valence does not affect serial recall.. Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale. 75(1). 35–47. 15 indexed citations
5.
Neath, Ian, et al.. (2021). Stimulus-based mirror effects revisited.. Journal of Experimental Psychology Learning Memory and Cognition. 48(12). 1833–1849. 9 indexed citations
6.
Guitard, Dominic, et al.. (2019). Visual similarity effects in immediate serial recall and (sometimes) in immediate serial recognition. Memory & Cognition. 48(3). 411–425. 11 indexed citations
7.
Neath, Ian, et al.. (2018). Short- and long-term memory tasks predict working memory performance, and vice versa.. Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale. 73(2). 79–93. 3 indexed citations
9.
Bireta, Tamra J., et al.. (2012). The Effect of Perceptual Cues on Inhibiting Irrelevant Information in Older Adults Using a List-Learning Method. Experimental Aging Research. 38(3). 279–294. 2 indexed citations
10.
Jalbert, Annie, Ian Neath, Tamra J. Bireta, & Aimée M. Surprenant. (2010). When does length cause the word length effect?. Journal of Experimental Psychology Learning Memory and Cognition. 37(2). 338–353. 71 indexed citations
11.
Bearman, Chris, Ian Neath, & Aimée M. Surprenant. (2007). Phonological Similarity Effects Without a Phonological Store: An Individual Differences Model. eScholarship (California Digital Library). 29(29). 1 indexed citations
12.
Hulme, Charles, et al.. (2006). The distinctiveness of the word-length effect.. Journal of Experimental Psychology Learning Memory and Cognition. 32(3). 586–594. 26 indexed citations
13.
Neath, Ian. (2005). Short-term/working memory : the Second Quebec Conference on Short-Term/Working Memory. Psychology Press eBooks.
14.
Surprenant, Aimée M., et al.. (2004). Fill‐in and infill errors in order memory. Memory. 13(3-4). 267–273. 17 indexed citations
15.
Hulme, Charles, et al.. (2004). Abolishing the Word-Length Effect.. Journal of Experimental Psychology Learning Memory and Cognition. 30(1). 98–106. 57 indexed citations
16.
Neath, Ian, et al.. (2003). Student manual for CogLab : 36 experiments. 2 indexed citations
17.
Neath, Ian, et al.. (1999). The World Wide Web: Exploring a New Advertising Environment. CyberPsychology & Behavior. 2(3). 195–212. 5 indexed citations
18.
Neath, Ian. (1999). Computer simulations of global memory models. Behavior Research Methods, Instruments, & Computers. 31(1). 74–80. 3 indexed citations
19.
Neath, Ian, Gordon D. A. Brown, Marie Poirier, & Claudette Fortin. (1999). Short-term/working memory : a special issue of the International Journal of Psychology. Psychology Press eBooks. 8 indexed citations
20.
Neath, Ian & James S. Nairne. (1995). Word-length effects in immediate memory: Overwriting trace decay theory. Psychonomic Bulletin & Review. 2(4). 429–441. 166 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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