Alison Pease

1.5k total citations
65 papers, 675 citations indexed

About

Alison Pease is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Alison Pease has authored 65 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 10 papers in Experimental and Cognitive Psychology and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Alison Pease's work include Artificial Intelligence in Games (15 papers), Creativity in Education and Neuroscience (9 papers) and Logic, Reasoning, and Knowledge (8 papers). Alison Pease is often cited by papers focused on Artificial Intelligence in Games (15 papers), Creativity in Education and Neuroscience (9 papers) and Logic, Reasoning, and Knowledge (8 papers). Alison Pease collaborates with scholars based in United Kingdom, Germany and United States. Alison Pease's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Behavioral and Brain Sciences and Frontiers in Psychology.

In The Last Decade

Alison Pease

63 papers receiving 543 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alison Pease United Kingdom 14 379 209 177 133 97 65 675
Amílcar Cardoso Portugal 13 199 0.5× 129 0.6× 210 1.2× 146 1.1× 52 0.5× 71 518
Anna Jordanous United Kingdom 10 138 0.4× 168 0.8× 110 0.6× 115 0.9× 84 0.9× 45 417
Pablo Gervás Spain 17 853 2.3× 87 0.4× 213 1.2× 57 0.4× 31 0.3× 119 1.1k
Agnese Augello Italy 13 300 0.8× 56 0.3× 112 0.6× 60 0.5× 26 0.3× 80 566
Peter Organisciak United States 13 145 0.4× 311 1.5× 37 0.2× 97 0.7× 60 0.6× 59 546
Michael G. Dyer United States 14 757 2.0× 202 1.0× 50 0.3× 185 1.4× 58 0.6× 75 1.2k
Kasia Müldner Canada 19 349 0.9× 136 0.7× 47 0.3× 59 0.4× 16 0.2× 61 1.0k
Kenji Araki Japan 18 772 2.0× 152 0.7× 82 0.5× 30 0.2× 27 0.3× 175 1.1k
Kristinn R. Þórisson Iceland 12 374 1.0× 65 0.3× 120 0.7× 72 0.5× 22 0.2× 43 637
Alexander Koller Germany 19 1.2k 3.3× 72 0.3× 192 1.1× 104 0.8× 9 0.1× 107 1.5k

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-authorship network of co-authors of Alison Pease

This figure shows the co-authorship network connecting the top 25 collaborators of Alison Pease. A scholar is included among the top collaborators of Alison Pease 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 Alison Pease. Alison Pease 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
1.
Pease, Alison, et al.. (2020). Using crowdsourced mathematics to understand mathematical practice. ZDM. 52(6). 1087–1098. 4 indexed citations
2.
Velsen, Lex van, et al.. (2020). Contextual Health Information Behavior in the Daily Lives of People with Type 2 Diabetes: A Diary Study in Scotland. Health Communication. 37(3). 272–284. 8 indexed citations
3.
Colton, Simon, et al.. (2020). On the Machine Condition and its Creative Expression.. Aaltodoc (Aalto University). 342–349. 1 indexed citations
4.
Pease, Alison, et al.. (2020). Ethical challenges in argumentation and dialogue in a healthcare context. SHILAP Revista de lepidopterología. 12(2). 249–264. 6 indexed citations
5.
Cook, Michael, et al.. (2019). Framing In Computational Creativity - A Survey And Taxonomy.. Discovery Research Portal (University of Dundee). 156–163. 8 indexed citations
6.
Colton, Simon, Alison Pease, Michael Cook, & Chunyang Chen. (2019). The HR3 system for automated code generation in creative settings. Monash University Research Portal (Monash University). 108–115. 1 indexed citations
7.
Pease, Alison, Simon Colton, & Rob Saunders. (2018). Issues of Authenticity in Autonomously Creative Systems.. ICCC. 272–279. 5 indexed citations
8.
Confalonieri, Roberto, Joseph Corneli, Alison Pease, Enric Plaza, & Marco Schorlemmer. (2015). Using Argumentation to Evaluate Concept Blends in Combinatorial Creativity. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 174–181. 17 indexed citations
9.
Colton, Simon, et al.. (2014). On acid drops and teardrops: observer issues in computational creativity. Discovery Research Portal (University of Dundee). 9 indexed citations
10.
Pease, Alison, et al.. (2013). A Discussion on Serendipity in Creative Systems. Discovery Research Portal (University of Dundee). 64–71. 10 indexed citations
11.
Besold, Tarek R., Alison Pease, & Martín Schmidt. (2013). Analogy and Arithmetics: An HDTP-Based Model of the Calculation Circular Staircase. Cognitive Science. 35(35). 1893–1898. 2 indexed citations
12.
Cook, Michael, Simon Colton, & Alison Pease. (2012). Aesthetic Considerations for Automated Platformer Design. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 8(1). 124–129. 26 indexed citations
13.
Guhe, Markus, Alison Pease, Alan Smaill, et al.. (2010). Mathematical reasoning with higher-order anti-unifcation. eScholarship (California Digital Library). 32(32). 1992–1997. 7 indexed citations
14.
Guhe, Markus, Alan Smaill, & Alison Pease. (2010). Towards a cognitive model of conceptual blending. Edinburgh Research Explorer (University of Edinburgh). 293–294. 1 indexed citations
15.
Guhe, Markus, Alison Pease, & Alan Smaill. (2009). A cognitive model of discovering commutativity. eScholarship (California Digital Library). 31(31). 727–732. 4 indexed citations
16.
Gervás, Pablo, et al.. (2005). Notes on Defining Novelty for Computational Creativity. International Joint Conference on Artificial Intelligence. 1 indexed citations
17.
Colton, Simon & Alison Pease. (2004). Lakatos-style automated theorem modification. European Conference on Artificial Intelligence. 42(38). 975–976. 1 indexed citations
18.
Colton, Simon & Alison Pease. (2003). Lakatos-style methods in automated reasoning. Discovery Research Portal (University of Dundee). 2 indexed citations
19.
Colton, Simon, Alison Pease, & Graéme Ritchie. (2001). The Effect of Input Knowledge on Creativity. Evidence-Based Mental Health. 10(1). 29–29. 19 indexed citations
20.
Pease, Alison, et al.. (2001). Evaluating Machine Creativity. Discovery Research Portal (University of Dundee). 47 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.

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