Keeley Crockett

2.9k total citations · 1 hit paper
111 papers, 1.7k citations indexed

About

Keeley Crockett is a scholar working on Artificial Intelligence, Information Systems and Developmental and Educational Psychology. According to data from OpenAlex, Keeley Crockett has authored 111 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Artificial Intelligence, 14 papers in Information Systems and 13 papers in Developmental and Educational Psychology. Recurrent topics in Keeley Crockett's work include Topic Modeling (32 papers), Speech and dialogue systems (21 papers) and Fuzzy Logic and Control Systems (19 papers). Keeley Crockett is often cited by papers focused on Topic Modeling (32 papers), Speech and dialogue systems (21 papers) and Fuzzy Logic and Control Systems (19 papers). Keeley Crockett collaborates with scholars based in United Kingdom, United States and Portugal. Keeley Crockett's co-authors include Zuhair Bandar, David McLean, James O’Shea, Annabel Latham, Yuhua Li, Bruce Edmonds, Nicola Whitton, Wasiq Khan, Majdi Owda and Abir Hussain and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Computers & Education.

In The Last Decade

Keeley Crockett

107 papers receiving 1.6k citations

Hit Papers

Sentence similarity based... 2006 2026 2012 2019 2006 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Sentence similarity based on semantic nets and corpus statistics
    2006 540 citations David McLean, Zuhair Bandar et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keeley Crockett United Kingdom 18 1.2k 373 268 252 97 111 1.7k
Robert Farrell United States 15 707 0.6× 266 0.7× 266 1.0× 296 1.2× 46 0.5× 42 1.4k
Michel C. Desmarais Canada 18 703 0.6× 369 1.0× 543 2.0× 331 1.3× 50 0.5× 88 1.4k
Franklyn Turbak United States 14 368 0.3× 365 1.0× 417 1.6× 165 0.7× 82 0.8× 45 1.1k
Nathan Griffiths United Kingdom 16 609 0.5× 274 0.7× 235 0.9× 87 0.3× 135 1.4× 103 1.6k
Rachel Bellamy United States 24 734 0.6× 756 2.0× 402 1.5× 111 0.4× 144 1.5× 82 2.1k
Mária Bieliková Slovakia 19 790 0.7× 865 2.3× 329 1.2× 144 0.6× 44 0.5× 186 1.6k
Vladan Devedžić Serbia 27 1.3k 1.1× 1.0k 2.8× 586 2.2× 263 1.0× 50 0.5× 125 2.3k
Silvia Schiaffino Argentina 17 468 0.4× 563 1.5× 404 1.5× 355 1.4× 51 0.5× 62 1.3k
Analı́a Amandi Argentina 25 822 0.7× 710 1.9× 660 2.5× 649 2.6× 68 0.7× 103 2.0k
Roger Nkambou Canada 18 949 0.8× 728 2.0× 218 0.8× 102 0.4× 38 0.4× 101 1.7k

Countries citing papers authored by Keeley Crockett

Since Specialization
Citations

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

Fields of papers citing papers by Keeley Crockett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keeley Crockett

This figure shows the co-authorship network connecting the top 25 collaborators of Keeley Crockett. A scholar is included among the top collaborators of Keeley Crockett 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 Keeley Crockett. Keeley Crockett 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.
Crockett, Keeley, et al.. (2022). Building Actionable Personas Using Machine Learning Techniques. 463–472. 1 indexed citations
2.
Crockett, Keeley, et al.. (2020). Interpreting Human Responses in Dialogue Systems using Fuzzy Semantic Similarity Measures. 1–8. 2 indexed citations
3.
4.
Crockett, Keeley, et al.. (2018). Adapted Psychological Profiling verses the right to an explainable decision. 5–14. 1 indexed citations
5.
Owda, Majdi, et al.. (2018). Novel Methods for Resolving False Positives during the Detection of Fraudulent Activities on Stock Market Financial Discussion Boards. International Journal of Advanced Computer Science and Applications. 9(1). 3 indexed citations
6.
Aljameel, Sumayh S., et al.. (2017). Development of an Arabic Conversational Intelligent Tutoring System for Education of children with ASD. 24–29. 21 indexed citations
7.
Bandar, Zuhair, et al.. (2016). A General Evaluation Framework for Text Based Conversational Agent. International Journal of Advanced Computer Science and Applications. 7(3). 5 indexed citations
8.
Crockett, Keeley, et al.. (2015). The Application of Learning Theories into Abdullah: An Intelligent Arabic Conversational Agent Tutor. 361–369. 4 indexed citations
9.
Chandran, David, Keeley Crockett, David McLean, & Zuhair Bandar. (2013). FAST: A fuzzy semantic sentence similarity measure. 177. 1–8. 11 indexed citations
10.
Latham, Annabel, Keeley Crockett, & David McLean. (2013). An adaptation algorithm for an intelligent natural language tutoring system. Computers & Education. 71. 97–110. 75 indexed citations
11.
O’Shea, James, Zuhair Bandar, & Keeley Crockett. (2013). Optimizing Features for Dialogue Act Classification. 474–479. 1 indexed citations
12.
O’Shea, James, et al.. (2013). AWSS: An Algorithm for Measuring Arabic Word Semantic Similarity. 11. 504–509. 17 indexed citations
13.
Bandar, Zuhair, et al.. (2010). On application of artificial immune system to optimize fuzzy regression trees. 2723. 2442–2447. 3 indexed citations
14.
Latham, Annabel, et al.. (2010). Oscar: An intelligent conversational agent tutor to estimate learning styles. 1–8. 37 indexed citations
15.
Crockett, Keeley, et al.. (2008). A fuzzy numeric inference strategy for classification and regression problems. International Journal of Knowledge-based and Intelligent Engineering Systems. 12(4). 255–269. 3 indexed citations
16.
Crockett, Keeley, et al.. (2007). An Intelligent Conversational Agent Approach to Extracting Queries from Natural Language. World Congress on Engineering. 305–310. 9 indexed citations
17.
Owda, Majdi, Zuhair Bandar, & Keeley Crockett. (2007). Conversation-Based Natural Language Interface to Relational Databases. 363–367. 10 indexed citations
18.
Crockett, Keeley & Zuhair Bandar. (2005). A framework for optimising fuzzy inference in classifier systems. 1. 105–110. 1 indexed citations
19.
Bandar, Zuhair, et al.. (2004). Inducing Fuzzy Decision Trees in Non-Deterministic Domains using CHAID. The Florida AI Research Society. 838–843. 3 indexed citations
20.
Crockett, Keeley, et al.. (1998). A Fuzzy Inference Framework For Induced Decision Trees.. European Conference on Artificial Intelligence. 425–429. 3 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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