Rowan Davies

2.0k total citations
26 papers, 926 citations indexed

About

Rowan Davies is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rowan Davies has authored 26 papers receiving a total of 926 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Computational Theory and Mathematics and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rowan Davies's work include Logic, programming, and type systems (11 papers), Logic, Reasoning, and Knowledge (9 papers) and Formal Methods in Verification (8 papers). Rowan Davies is often cited by papers focused on Logic, programming, and type systems (11 papers), Logic, Reasoning, and Knowledge (9 papers) and Formal Methods in Verification (8 papers). Rowan Davies collaborates with scholars based in Australia, United States and United Kingdom. Rowan Davies's co-authors include Frank Pfenning, Syed Mohammed Shamsul Islam, Mohammed Bennamoun, Luca Cardelli, Ajmal Mian, Robyn Owens, Tim French, Peter Lee, Gordon Royle and Daniel Hungerford and has published in prestigious journals such as BMJ, ACM Computing Surveys and Pattern Recognition.

In The Last Decade

Rowan Davies

26 papers receiving 842 citations

Peers

Rowan Davies
Comparison fields: 5 of 63
  • Artificial Intelligence 652
  • Computational Theory and Mathematics 340
  • Signal Processing 200
  • Computer Vision and Pattern Recognition 169
  • Information Systems 165
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Citations per field, relative to Rowan Davies
Rowan Davies · 1×
Citations per year, relative to Rowan Davies
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Countries citing papers authored by Rowan Davies

Since Specialization
Citations

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

Fields of papers citing papers by Rowan Davies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rowan Davies

This figure shows the co-authorship network connecting the top 25 collaborators of Rowan Davies. A scholar is included among the top collaborators of Rowan Davies 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 Rowan Davies. Rowan Davies 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
# Work Indexed citations
1 2
2 1
3 1
4
Refinement Quantified Logics of Knowledge and Belief for Multiple Agentsc.
3
5 33
6 26
7
Refinement Quantified Logics of Knowledge and belief for Multiple Agents
9
8 61
9
Biometric Approaches of 2D-3D Ear and Face: A Survey
6
10
Varieties of Modern English: An Introduction
10
11
Practical refinement-type checking
22
12 60
13 185
14 3
15 68
16 60
17 20
18 6
19 98
20 12

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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