Aaron Sloman

4.9k citations
121 papers · 1.8k · h-index 24

Impact in

Papers in

    • AI-based Problem Solving and Planning 18
    • Logic, Reasoning, and Knowledge 16
    • Semantic Web and Ontologies 11
    • Cognitive Science and Mapping 8
    • Embodied and Extended Cognition 18
    • Cognitive Science and Education Research 14

Aaron Sloman

110 papers receiving 1.4k citations

Peers

Aaron Sloman
Comparison fields: 5 of 113
  • Experimental and Cognitive Psychology 419
  • Cognitive Neuroscience 568
  • Artificial Intelligence 851
  • Social Psychology 376
  • Computational Theory and Mathematics 283
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Citations per field
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Citations per year

Countries citing papers authored by Aaron Sloman

Since Specialization
Citations

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

Fields of papers citing papers by Aaron Sloman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Aaron Sloman, 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 Aaron Sloman Line = papers co-authored together Aaron Sloman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987150
2 1980113
3
Virtual Machines and Consciousness
2003101
4
Beyond Shallow Models of Emotion
2001101
5 198193
6 197175
7 199658
8 197554
9
Varieties of Affect and the CogAff Architecture Schema
200148
10 198946
11 199944
12 199343
13 200440
14 197038
15
Towards an integrated robot with multiple cognitive functions
200738
16 199336
17
The altricial-precocial spectrum for robots
200534
18 196430
19 198627
20 200226

About Aaron Sloman

Aaron Sloman is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Computational Theory and Mathematics, Experimental and Cognitive Psychology and Social Psychology, having authored 121 papers that have together received 1.8k indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (25 papers), Embodied and Extended Cognition (18 papers), AI-based Problem Solving and Planning (18 papers), Logic, Reasoning, and Knowledge (16 papers), Philosophy and Theoretical Science (15 papers), Cognitive Science and Education Research (14 papers), Semantic Web and Ontologies (11 papers) and Cognitive Science and Mapping (8 papers). The work is most often cited by research in Experimental and Cognitive Psychology (419 citations), Cognitive Neuroscience (568 citations), Artificial Intelligence (851 citations), Social Psychology (376 citations) and Computational Theory and Mathematics (283 citations). Aaron Sloman has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Ron Chrisley, Martin Atkinson, Stephen P. Stich, Brian Logan, Luc P. Beaudoin, Jackie Chappell, I. P. Wright, Matthias Scheutz, L. Jonathan Cohen and Push Singh. Their work appears in journals such as Behavioral and Brain Sciences, Analysis, Artificial Intelligence, Philosophy, psychiatry & psychology and Cognitive Systems Research.

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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