Andrew Fish

86 papers receiving 772 citations

Peers

Andrew Fish
Comparison fields: 5 of 70
  • Software 154
  • Computer Vision and Pattern Recognition 360
  • Signal Processing 155
  • Computer Networks and Communications 269
  • Artificial Intelligence 334
Replace E. Koutsofios with:
E. Koutsofios United States
S.-K. Chang United States
John Howse United Kingdom
Colin de la Higuera France
Greg J. Badros United States
José Oncina Spain
Jean-Pierre Briot France
Bob Price United States
Shi-Kuo Chang United States
Brad Vander Zanden United States
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Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200568
2 200848
3 200845
4 200739
5 200738
6 201330
7 200627
8 201825
9 200524
10 201620
11 201719
12 200419
13 201117
14 200815
15 201714
16 201614
17 200513
18
Formal issues in languages based on closed curves
200612
19 200411
20 201611

About Andrew Fish

Andrew Fish is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems and Software, having authored 95 papers that have together received 792 indexed citations. Recurring topics across this work include Data Visualization and Analytics (37 papers), Model-Driven Software Engineering Techniques (22 papers), Advanced Database Systems and Queries (19 papers), Semantic Web and Ontologies (18 papers), Business Process Modeling and Analysis (13 papers), Advanced Software Engineering Methodologies (13 papers), Constraint Satisfaction and Optimization (12 papers) and Software Engineering Research (10 papers). The work is most often cited by research in Software (154 citations), Computer Vision and Pattern Recognition (360 citations), Signal Processing (155 citations), Computer Networks and Communications (269 citations) and Artificial Intelligence (334 citations). Andrew Fish has collaborated with scholars based in United Kingdom, Italy and Germany. Frequent co-authors include Jean Flower, John Howse, Haralambos Mouratidis, Rosario De Chiara, Gem Stapleton, Peter Rodgers, Harald Störrle, Leishi Zhang, Paolo Bottoni and N. G. Argyropoulos. Their work appears in journals such as Journal of Visual Languages & Computing, Lecture notes in computer science, Software & Systems Modeling, Journal of the Association for Information Systems and Computational Geometry.

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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