Andrew Fish

59 papers receiving 429 citations

Peers

Andrew Fish
Comparison fields: 5 of 66
  • Software 95
  • Computer Vision and Pattern Recognition 187
  • Signal Processing 76
  • Computer Networks and Communications 138
  • Artificial Intelligence 187
Replace Colin de la Higuera with:
Colin de la Higuera France
Kenneth C. Cox United States
S.-K. Chang United States
H. James Hoover Canada
Jean-Pierre Briot France
John Howse United Kingdom
Tom Van Cutsem Belgium
E. Koutsofios United States
Richard Wettel Switzerland
Dan Ingalls United States
Andrew Fish relative to Colin de la Higuera France Colin de la Higuera's profile →
Citations per field
00.5×1.5×
Colin de la Higuera · 1×
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 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200555
2 200735
3 200828
4 200726
5 201822
6 201618
7 201718
8 200518
9 201115
10 200812
11 200412
12 201712
13 200511
14
Formal issues in languages based on closed curves
200610
15 20179
16 20098
17 20157
18 20157
19 20077
20 20066

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 68 papers that have together received 440 indexed citations. Recurring topics across this work include Data Visualization and Analytics (26 papers), Model-Driven Software Engineering Techniques (18 papers), Semantic Web and Ontologies (14 papers), Advanced Database Systems and Queries (12 papers), Business Process Modeling and Analysis (10 papers), Advanced Software Engineering Methodologies (9 papers), Constraint Satisfaction and Optimization (9 papers) and Software Engineering Research (7 papers). The work is most often cited by research in Software (95 citations), Computer Vision and Pattern Recognition (187 citations), Signal Processing (76 citations), Computer Networks and Communications (138 citations) and Artificial Intelligence (187 citations). Andrew Fish has collaborated with scholars based in United Kingdom, Italy and Germany. Frequent co-authors include Jean Flower, John Howse, Rosario De Chiara, Haralambos Mouratidis, Gem Stapleton, Emmanouil Panaousis, Paolo Bottoni, Judith Masthoff, N. G. Argyropoulos and Vittorio Scarano. Their work appears in journals such as Journal of Visual Languages & Computing, Software & Systems Modeling, Ad Hoc Networks, Computational Geometry and IEEE Transactions on Industrial Informatics.

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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