Andrew Fish

1000 total citations
68 papers, 440 citations indexed

About

Andrew Fish is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Andrew Fish has authored 68 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 27 papers in Computer Vision and Pattern Recognition and 24 papers in Computer Networks and Communications. Recurrent topics in Andrew Fish's work include Data Visualization and Analytics (26 papers), Model-Driven Software Engineering Techniques (18 papers) and Semantic Web and Ontologies (14 papers). Andrew Fish is often cited by papers focused on Data Visualization and Analytics (26 papers), Model-Driven Software Engineering Techniques (18 papers) and Semantic Web and Ontologies (14 papers). Andrew Fish collaborates with scholars based in United Kingdom, Italy and Germany. Andrew Fish's co-authors include Jean Flower, John Howse, Rosario De Chiara, Haralambos Mouratidis, Gem Stapleton, Emmanouil Panaousis, Paolo Bottoni, Judith Masthoff, N. G. Argyropoulos and Christos Kalloniatis and has published in prestigious journals such as IEEE Transactions on Industrial Informatics, Applied Sciences and The Computer Journal.

In The Last Decade

Andrew Fish

59 papers receiving 429 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Fish United Kingdom 12 187 187 138 110 95 68 440
Brad Vander Zanden United States 10 143 0.8× 213 1.1× 148 1.1× 136 1.2× 106 1.1× 19 632
Shubho Sengupta United States 7 125 0.7× 191 1.0× 112 0.8× 153 1.4× 91 1.0× 13 447
Jean-Pierre Briot France 13 134 0.7× 316 1.7× 346 2.5× 124 1.1× 46 0.5× 50 731
E. Koutsofios United States 9 257 1.4× 209 1.1× 158 1.1× 239 2.2× 98 1.0× 14 635
S.-K. Chang United States 12 294 1.6× 182 1.0× 194 1.4× 105 1.0× 55 0.6× 50 613
Kenneth C. Cox United States 12 245 1.3× 223 1.2× 149 1.1× 217 2.0× 84 0.9× 35 601
John Howse United Kingdom 16 359 1.9× 412 2.2× 220 1.6× 102 0.9× 199 2.1× 74 707
Tom Van Cutsem Belgium 11 63 0.3× 170 0.9× 352 2.6× 185 1.7× 61 0.6× 58 549
Corin R. Anderson United States 10 148 0.8× 311 1.7× 148 1.1× 247 2.2× 23 0.2× 15 655
Jorge A. Baier Chile 16 224 1.2× 631 3.4× 189 1.4× 62 0.6× 81 0.9× 89 853

Countries citing papers authored by Andrew Fish

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Fish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Fish

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Fish. A scholar is included among the top collaborators of Andrew Fish 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 Andrew Fish. Andrew Fish 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.
Malizia, Alessio, et al.. (2025). Adaptive XAI: Advancing Intelligent Interfaces for Tailored AI Explanations (2nd Edition). University of Twente Research Information. 172–174. 1 indexed citations
2.
Nelson, J. I., et al.. (2024). ChatGPT-driven machine learning code generation for android malware detection. The Computer Journal. 68(4). 331–345. 1 indexed citations
3.
Polatidis, Nikolaos, Elias Pimenidis, Andrew Fish, & Stelios Kapetanakis. (2019). A Guideline-Based Approach for Assisting with the Reproducibility of Experiments in Recommender Systems Evaluation. International Journal of Artificial Intelligence Tools. 28(8). 1960011–1960011. 4 indexed citations
4.
Kapetanakis, Stelios, et al.. (2017). Business Process Workflow Monitoring Using Distributed CBR with GPU Computing. University of Brighton Repository (University of Brighton). 495–498. 1 indexed citations
5.
Mouratidis, Haralambos, et al.. (2017). ASTo: A tool for security analysis of IoT systems. University of Brighton Repository (University of Brighton). 395–400. 12 indexed citations
6.
Petridis, Miltos, et al.. (2016). Evaluating Distributed Methods for CBR Systems for Monitoring Business Process Workflows.. 122–131.
7.
Costagliola, Gennaro, et al.. (2016). A toolkit for knot diagram sketching, encoding and re-generation. University of Brighton Repository (University of Brighton). 2016. 16–25. 4 indexed citations
8.
Fish, Andrew, et al.. (2016). Visual Exploration System in an Industrial Context. IEEE Transactions on Industrial Informatics. 12(2). 567–575. 18 indexed citations
9.
Fish, Andrew, et al.. (2015). Prediction of Users' Response Time in Q&A Communities. University of Brighton Repository (University of Brighton). 618–623. 7 indexed citations
10.
Bottoni, Paolo, et al.. (2013). Spider Graphs: a graph transformation system for spider diagrams. Software & Systems Modeling. 14(4). 1421–1453. 4 indexed citations
11.
Bottoni, Paolo & Andrew Fish. (2012). Extending Spider Diagrams for policy definition. Journal of Visual Languages & Computing. 24(3). 169–191. 5 indexed citations
12.
Cordasco, Gennaro, Rosario De Chiara, & Andrew Fish. (2010). Efficient on-line algorithms for Euler diagram region computation. Computational Geometry. 44(1). 52–68. 6 indexed citations
13.
Stapleton, Gem, Andrew Fish, & Peter Rodgers. (2008). Abstract Euler Diagram Isomorphism. Kent Academic Repository (University of Kent). 310–317. 3 indexed citations
14.
Rodgers, Peter, Leishi Zhang, Gem Stapleton, & Andrew Fish. (2008). Embedding Wellformed Euler Diagrams. Kent Academic Repository (University of Kent). 585–593. 12 indexed citations
15.
Fish, Andrew & Gem Stapleton. (2006). Formal issues in languages based on closed curves. University of Brighton Repository (University of Brighton). 10 indexed citations
16.
Fish, Andrew, et al.. (2006). JONES POLYNOMIAL INVARIANTS. Journal of Knot Theory and Its Ramifications. 15(3). 339–350. 6 indexed citations
17.
Stapleton, Gem, et al.. (2006). Appendices for automated theorem proving in Euler diagram systems. University of Brighton Repository (University of Brighton). 1 indexed citations
18.
Stapleton, Gem, Simon Thompson, Andrew Fish, John Howse, & John Taylor. (2005). A New Language for the Visualization of Logic and reasoning. Kent Academic Repository (University of Kent). 287–292. 3 indexed citations
19.
Fish, Andrew, Jean Flower, & John Howse. (2005). The semantics of augmented constraint diagrams. Journal of Visual Languages & Computing. 16(6). 541–573. 55 indexed citations
20.
Fish, Andrew, Jean Flower, & John Howse. (2004). A reading algorithm for constraint diagrams. University of Brighton Repository (University of Brighton). 2. 161–168. 12 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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