J. M. Gooday

916 total citations
7 papers, 385 citations indexed

About

J. M. Gooday is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, J. M. Gooday has authored 7 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 4 papers in Artificial Intelligence and 3 papers in Signal Processing. Recurrent topics in J. M. Gooday's work include Constraint Satisfaction and Optimization (5 papers), Data Management and Algorithms (3 papers) and Semantic Web and Ontologies (3 papers). J. M. Gooday is often cited by papers focused on Constraint Satisfaction and Optimization (5 papers), Data Management and Algorithms (3 papers) and Semantic Web and Ontologies (3 papers). J. M. Gooday collaborates with scholars based in United Kingdom and Canada. J. M. Gooday's co-authors include Anthony G. Cohn, Nicholas M. Gotts, Brandon Bennett and Antony Galton and has published in prestigious journals such as Artificial Intelligence Review, GeoInformatica and The Monist.

In The Last Decade

J. M. Gooday

6 papers receiving 327 citations

Peers

J. M. Gooday
Comparison fields: 5 of 52
  • Computer Networks and Communications 228
  • Signal Processing 201
  • Artificial Intelligence 199
  • Geography, Planning and Development 122
  • Computer Vision and Pattern Recognition 57
Replace Alexey Pryakhin with:
Alexey Pryakhin Germany
H.-W. Six Germany
Luca Forlizzi Italy
Angela Demke Brown Canada
Andreas Kipf Germany
Andy Diwen Zhu Singapore
Mauro Negri Italy
Nathan Thomas United Kingdom
Petko Bakalov United States
Kaiyu Feng Singapore
Alexey Pryakhin Germany View profile →
Citations per field, relative to J. M. Gooday
J. M. Gooday · 1×
Citations per year, relative to J. M. Gooday
J. M. Gooday · 1×

Countries citing papers authored by J. M. Gooday

Since Specialization
Citations

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

Fields of papers citing papers by J. M. Gooday

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. M. Gooday. 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 J. M. Gooday. The network helps show where J. M. Gooday may publish in the future.

Co-authorship network of co-authors of J. M. Gooday

This figure shows the co-authorship network connecting the top 25 collaborators of J. M. Gooday. A scholar is included among the top collaborators of J. M. Gooday 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 J. M. Gooday. J. M. Gooday is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
# Work Indexed citations
1 298
2 5
3 55
4 13
5
Transition-based Qualitative Simulation
8
6 6
7
QSQR: quantitatively scoped qualitative reasoning
0

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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