I.P.L. McLaren

28 papers receiving 560 citations

Peers

I.P.L. McLaren
Comparison fields: 5 of 61
  • Cognitive Neuroscience 432
  • Developmental and Educational Psychology 229
  • Experimental and Cognitive Psychology 99
  • Social Psychology 89
  • Cellular and Molecular Neuroscience 84
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Citations per year

Countries citing papers authored by I.P.L. McLaren

Since Specialization
Citations

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

Fields of papers citing papers by I.P.L. McLaren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I.P.L. McLaren. 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 I.P.L. McLaren. The network helps show where I.P.L. McLaren may publish in the future.

Co-authorship network of co-authors of I.P.L. McLaren

This figure shows the co-authorship network connecting the top 25 collaborators of I.P.L. McLaren. A scholar is included among the top collaborators of I.P.L. McLaren 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 I.P.L. McLaren. I.P.L. McLaren 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
#WorkIndexed citations
1 2
2 0
3 23
4 34
5
Discrimination and Generalization in Pattern Categorization: A Case for Elemental Associative Learning
1
6 12
7 20
8 1
9 1
10 221
11 1
12
Human Sequence Learning: Can Associations Explain Everything?
8
13
The Mechanics of Associative Change
5
14
Transfer Along a Continuum: Differentiation or Association?
8
15 14
16 27
17 17
18
Effects of pre-exposure to the same or different pattern of extra-maze cues on subsequent extra-maze discrimination.
18
19 22
20
The computational unit as an assembly of neurones: an implementation of an error correcting learning algorithm
14

About I.P.L. McLaren

I.P.L. McLaren is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Sensory Systems, having authored 29 papers that have together received 581 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (13 papers), Child and Animal Learning Development (12 papers) and Neural Networks and Applications (7 papers). The work is most often cited by research in Cognitive Neuroscience (432 citations), Developmental and Educational Psychology (229 citations) and Behavioral Neuroscience (51 citations). I.P.L. McLaren has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include N. J. Mackintosh, Andy J. Wills, Anthony Dickinson, Cavan Bennett, Rainer Spiegel, Michael R. F. Aitken, Kate Plaisted, Carl Michael Galang, Aureliu Lavric and T. Rodrigo. Their work appears in journals such as Philosophical Transactions of the Royal Society B Biological Sciences, Behavioral and Brain Sciences and Journal of Experimental Psychology Learning Memory and Cognition.

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