Simon McGregor

698 citations
17 papers · 271 · h-index 7

Impact in

Papers in

Simon McGregor

16 papers receiving 257 citations

Peers

Simon McGregor
Comparison fields: 5 of 49
  • Cognitive Neuroscience 168
  • History and Philosophy of Science 28
  • Astronomy and Astrophysics 29
  • Computational Theory and Mathematics 26
  • Social Psychology 24
Replace Ensor Rafael Palacios with:
Ensor Rafael Palacios United Kingdom
Matthew Egbert New Zealand
Franciso Calvo Garzón Spain
Corey J. Maley United States
Alexander Tschantz United Kingdom
John O. Campbell Australia
Beren Millidge United Kingdom
Noor Sajid United Kingdom
Bert de Vries Netherlands
Riccardo Manzotti Italy
Simon McGregor relative to Ensor Rafael Palacios United Kingdom Ensor Rafael Palacios's profile →
Citations per field
00.5×1.5×2.3×
Ensor Rafael Palacios · 1×
Citations per year

Countries citing papers authored by Simon McGregor

Since Specialization
Citations

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

Fields of papers citing papers by Simon McGregor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Simon McGregor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Simon McGregor Line = papers co-authored together Simon McGregor links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2017170
2 201242
3 201614
4 200812
5 20179
6 20117
7 20056
8 20173
9 20141
10 20191
11 20201
12 20181
13 20051
14 20171
15 20071
16
Algorithmic Information Theory and Novelty Generation
20071
17
Advances in Community Psychology
20210

About Simon McGregor

Simon McGregor is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Molecular Biology, Astronomy and Astrophysics and History and Philosophy of Science, having authored 17 papers that have together received 271 indexed citations. Recurring topics across this work include Embodied and Extended Cognition (7 papers), Neural dynamics and brain function (5 papers), Origins and Evolution of Life (3 papers), Philosophy and History of Science (3 papers), Evolutionary Algorithms and Applications (2 papers), Photoreceptor and optogenetics research (2 papers), Cognitive Science and Education Research (2 papers) and Advanced Thermodynamics and Statistical Mechanics (1 paper). The work is most often cited by research in Cognitive Neuroscience (168 citations), History and Philosophy of Science (28 citations), Astronomy and Astrophysics (29 citations), Computational Theory and Mathematics (26 citations) and Social Psychology (24 citations). Simon McGregor has collaborated with scholars based in United Kingdom, South Korea and Japan. Frequent co-authors include Christopher L. Buckley, Chang Sub Kim, Anil K. Seth, Chrisantha Fernando, Vera Vasas, Phil Husbands, Nathaniel Virgo, Takashi Ikegami, Daniel Polani and Kerstin Dautenhahn. Their work appears in journals such as Adaptive Behavior, Artificial Life, Genetic Programming and Evolvable Machines, PLoS Computational Biology and Journal of Mathematical Psychology.

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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