Alison Pease

1.5k citations
65 papers · 684 · h-index 15

Impact in

Papers in

Alison Pease

63 papers receiving 550 citations

Peers

Alison Pease
Comparison fields: 5 of 73
  • Experimental and Cognitive Psychology 210
  • Artificial Intelligence 383
  • Theoretical Computer Science 12
  • Computer Vision and Pattern Recognition 176
  • Cognitive Neuroscience 134
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Malcolm Bauer United States
Marco Ragni Germany
Alexander Koller Germany
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Kees van Deemter United Kingdom
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Citations per year

Countries citing papers authored by Alison Pease

Since Specialization
Citations

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

Fields of papers citing papers by Alison Pease

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Computational creativity theory: The FACE and IDEA descriptive models
201190
2
Proceedings of the International Conference on Computational Creativity
201058
3
On impact and evaluation in computational creativity: a discussion of the Turing Test and an alternative proposal
201150
4
Evaluating Machine Creativity
200147
5
On the Notion of Framing in Computational Creativity
201237
6 201428
7 201226
8
Computational Creativity Theory: Inspirations behind the FACE and the IDEA models.
201120
9 200119
10 201119
11 201517
12 201717
13
Proceedings of the sixth international conference of computational creativity
201516
14 201715
15 201914
16
Assessing progress in building autonomously creative systems
201412
17
A Discussion on Serendipity in Creative Systems
201310
18 201510
19
On acid drops and teardrops: observer issues in computational creativity
20149
20 20069

About Alison Pease

Alison Pease is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Mechanical Engineering, having authored 65 papers that have together received 684 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (15 papers), Creativity in Education and Neuroscience (9 papers), Data Visualization and Analytics (8 papers), Semantic Web and Ontologies (8 papers), Logic, Reasoning, and Knowledge (8 papers), Design Education and Practice (6 papers), Multi-Agent Systems and Negotiation (6 papers) and Computability, Logic, AI Algorithms (6 papers). The work is most often cited by research in Experimental and Cognitive Psychology (210 citations), Artificial Intelligence (383 citations), Theoretical Computer Science (12 citations), Computer Vision and Pattern Recognition (176 citations) and Cognitive Neuroscience (134 citations). Alison Pease has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Simon Colton, Simon Colton, Alan Smaill, Markus Guhe, Michael Cook, Joseph Corneli, Marco Schorlemmer, Ursula Martin, Andrew Aberdein and Kai‐Uwe Kühnberger. Their work appears in journals such as AI Magazine, Behavioral and Brain Sciences, Synthese, Cognitive Science 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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