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.
Chunking mechanisms in human learning
2001582 citationsFernand Gobet, Peter C. R. Lane et al.Trends in Cognitive Sciencesprofile →
The impact of shared book reading on children's language skills: A meta-analysis
2019161 citationsGiovanni Sala, Fernand Gobet et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Fernand Gobet'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 Fernand Gobet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernand Gobet more than expected).
This network shows the impact of papers produced by Fernand Gobet. 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 Fernand Gobet. The network helps show where Fernand Gobet may publish in the future.
Co-authorship network of co-authors of Fernand Gobet
This figure shows the co-authorship network connecting the top 25 collaborators of Fernand Gobet.
A scholar is included among the top collaborators of Fernand Gobet 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 Fernand Gobet. Fernand Gobet is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Pirrone, Angelo, Andreagiovanni Reina, Tom Stafford, James A. R. Marshall, & Fernand Gobet. (2021). Magnitude-sensitivity: rethinking decision-making. Trends in Cognitive Sciences. 26(1). 66–80.16 indexed citations
Freudenthal, Daniel, Julián M. Pine, Gary Jones, & Fernand Gobet. (2015). Defaulting effects contribute to the simulation of cross-linguistic differences in optional infinitive errors. Cognitive Science.3 indexed citations
10.
Gobet, Fernand, et al.. (2014). Problem Gambling. Palgrave Macmillan UK eBooks.2 indexed citations
11.
Dalley, Gillian, K. J. Gilhooly, Mary Gilhooly, et al.. (2012). Risk, trust and relationships in an ageing society. Research Repository (Kingston University London).3 indexed citations
12.
Gobet, Fernand. (2008). Discrimination nets, production systems and semantic networks: Elements of a unified framework. Brunel University Research Archive (BURA) (Brunel University London).3 indexed citations
Gobet, Fernand & Guillermo Campitelli. (2006). Educational benefits of chess instruction: A critical review. Murdoch Research Repository (Murdoch University).29 indexed citations
16.
Jones, Gary, Fernand Gobet, & Julián M. Pine. (2005). Modelling vocabulary acquisition: an explanation of the link between the phonological loop and long-term memory. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository).7 indexed citations
17.
Gobet, Fernand & Peter C. R. Lane. (2004). CHREST Tutorial: Simulations of Human Learning. Brunel University Research Archive (BURA) (Brunel University London). 26(26).1 indexed citations
18.
Campitelli, Guillermo, et al.. (2003). Chess experts activate fewer frontal and parietal areas than non-experts in a recognition task with chess stimuli. Murdoch Research Repository (Murdoch University).
Gobet, Fernand, et al.. (1991). Détresse apprise et jeu d'échecs: Rôle de la familiarité et de la similitude des tâches.. Swiss Journal of Psychology. 50(2). 97–110.2 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.