Simon Farrell

8.0k total citations · 1 hit paper
71 papers, 4.9k citations indexed

About

Simon Farrell is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Simon Farrell has authored 71 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Cognitive Neuroscience, 17 papers in Artificial Intelligence and 17 papers in Experimental and Cognitive Psychology. Recurrent topics in Simon Farrell's work include Memory Processes and Influences (29 papers), Neural and Behavioral Psychology Studies (22 papers) and Memory and Neural Mechanisms (14 papers). Simon Farrell is often cited by papers focused on Memory Processes and Influences (29 papers), Neural and Behavioral Psychology Studies (22 papers) and Memory and Neural Mechanisms (14 papers). Simon Farrell collaborates with scholars based in Australia, United Kingdom and United States. Simon Farrell's co-authors include Eric‐Jan Wagenmakers, Stephan Lewandowsky, Klaus Oberauer, Christopher Jarrold, Roger Ratcliff, Casimir J. H. Ludwig, Mark J. Hurlstone, Iain D. Gilchrist, Lucy Ellis and Gordon D. A. Brown and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Psychological Bulletin and PLoS ONE.

In The Last Decade

Simon Farrell

71 papers receiving 4.8k citations

Hit Papers

AIC model selection using Akaike weights 2004 2026 2011 2018 2004 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simon Farrell Australia 26 2.5k 999 719 637 500 71 4.9k
Paul H. Garthwaite United Kingdom 42 2.3k 0.9× 633 0.6× 827 1.2× 756 1.2× 432 0.9× 128 8.3k
Rand R. Wilcox United States 49 1.7k 0.7× 1.1k 1.1× 624 0.9× 573 0.9× 917 1.8× 362 10.9k
Geoff Cumming Australia 35 1.6k 0.6× 1.5k 1.5× 951 1.3× 792 1.2× 1.3k 2.7× 102 10.4k
David M. Lane United Kingdom 43 1.5k 0.6× 662 0.7× 631 0.9× 641 1.0× 383 0.8× 308 8.3k
Paul L. Speckman United States 27 2.8k 1.1× 1.1k 1.1× 730 1.0× 721 1.1× 789 1.6× 54 6.5k
Donald R. Brown United States 32 1.2k 0.5× 532 0.5× 504 0.7× 380 0.6× 897 1.8× 183 7.5k
Paul‐Christian Bürkner Germany 27 1.4k 0.6× 1.3k 1.3× 655 0.9× 535 0.8× 973 1.9× 109 8.2k
John Raven United Kingdom 16 2.3k 1.0× 1.9k 2.0× 1.8k 2.5× 364 0.6× 746 1.5× 74 7.6k
John D. Murray United States 44 5.2k 2.1× 968 1.0× 322 0.4× 333 0.5× 279 0.6× 129 8.4k
Michael Betancourt United States 11 723 0.3× 503 0.5× 220 0.3× 855 1.3× 289 0.6× 24 6.1k

Countries citing papers authored by Simon Farrell

Since Specialization
Citations

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

Fields of papers citing papers by Simon Farrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Farrell

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Farrell. A scholar is included among the top collaborators of Simon Farrell 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 Simon Farrell. Simon Farrell 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.
Farrell, Simon, et al.. (2023). Reinforcement Learning Under Uncertainty: Expected Versus Unexpected Uncertainty and State Versus Reward Uncertainty. Computational Brain & Behavior. 6(4). 626–650. 5 indexed citations
2.
Brown, Gordon D. A., et al.. (2023). The role of episodic memory sampling in evaluation. Psychonomic Bulletin & Review. 31(3). 1353–1363. 1 indexed citations
3.
Farrell, Simon, et al.. (2022). Examining the role of information integration in the continued influence effect using an event segmentation approach. PLoS ONE. 17(7). e0271566–e0271566. 1 indexed citations
4.
Osth, Adam F, et al.. (2021). How do recall requirements affect decision-making in free recall initiation? A linear ballistic accumulator approach. Memory & Cognition. 49(5). 968–983. 4 indexed citations
5.
Oberauer, Klaus, Stephan Lewandowsky, Edward Awh, et al.. (2018). Benchmarks for models of short-term and working memory.. Psychological Bulletin. 144(9). 885–958. 226 indexed citations
6.
Farrell, Simon. (2018). Anticipatory access to group-level information in working memory. Quarterly Journal of Experimental Psychology. 71(11). 2450–2463. 1 indexed citations
7.
Farrell, Simon, et al.. (2018). Remembering to execute deferred tasks in simulated air traffic control: The impact of interruptions.. Journal of Experimental Psychology Applied. 24(3). 360–379. 16 indexed citations
8.
Ballard, Timothy, Simon Farrell, & Andrew Neal. (2017). Quantifying the psychological value of goal achievement. Psychonomic Bulletin & Review. 25(3). 1184–1192. 5 indexed citations
9.
Oberauer, Klaus, Simon Farrell, Christopher Jarrold, & Stephan Lewandowsky. (2016). What limits working memory capacity?. Psychological Bulletin. 142(7). 758–799. 188 indexed citations
10.
Farrell, Simon, et al.. (2016). On the Nature of Interruptions in Complex Dynamic Tasks. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 60(1). 246–247. 1 indexed citations
11.
Ludwig, Casimir J. H., et al.. (2016). Adaptive scaling of reward in episodic memory: a replication study. Quarterly Journal of Experimental Psychology. 70(11). 2306–2318. 6 indexed citations
12.
Farrell, Simon, et al.. (2015). Bayesian Reinforcement Learning in Markovian and non-Markovian Tasks. Bristol Research (University of Bristol). 13. 579–586. 2 indexed citations
13.
Oberauer, Klaus, et al.. (2012). Modeling working memory: An interference model of complex span. Psychonomic Bulletin & Review. 19(5). 779–819. 276 indexed citations
14.
Farrell, Simon & Stephan Lewandowsky. (2012). Response suppression contributes to recency in serial recall. Memory & Cognition. 40(7). 1070–1080. 20 indexed citations
15.
Farrell, Simon. (2012). Temporal clustering and sequencing in short-term memory and episodic memory.. Psychological Review. 119(2). 223–271. 181 indexed citations
16.
Farrell, Simon, et al.. (2009). Is scanning in probed order recall articulatory?. Quarterly Journal of Experimental Psychology. 62(9). 1843–1858. 7 indexed citations
17.
Farrell, Simon & Stephan Lewandowsky. (2008). Empirical and theoretical limits on lag recency in free recall. Psychonomic Bulletin & Review. 15(6). 1236–1250. 32 indexed citations
18.
Farrell, Simon, et al.. (2006). Selective memory biases for words reflecting sex-specific body image concerns. Eating Behaviors. 8(3). 382–389. 18 indexed citations
19.
Farrell, Simon, Roger Ratcliff, Anil Cherian, & Mark A. Segraves. (2006). Modeling unidimensional categorization in monkeys. Learning & Behavior. 34(1). 86–101. 1 indexed citations
20.
Farrell, Simon & Stephan Lewandowsky. (2003). Dissimilar items benefit from phonological similarity in serial recall.. Journal of Experimental Psychology Learning Memory and Cognition. 29(5). 838–849. 47 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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