A.C. Davies

849 total citations
46 papers, 643 citations indexed

About

A.C. Davies is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, A.C. Davies has authored 46 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 12 papers in Artificial Intelligence and 11 papers in Computational Theory and Mathematics. Recurrent topics in A.C. Davies's work include Neural Networks and Applications (5 papers), Analog and Mixed-Signal Circuit Design (4 papers) and Nonlinear Dynamics and Pattern Formation (4 papers). A.C. Davies is often cited by papers focused on Neural Networks and Applications (5 papers), Analog and Mixed-Signal Circuit Design (4 papers) and Nonlinear Dynamics and Pattern Formation (4 papers). A.C. Davies collaborates with scholars based in United Kingdom, Russia and Italy. A.C. Davies's co-authors include Sergio A. Velastín, Wolfgang Schwarz, Alberto Spinazzi, Paola Taroni, Xavier Fouillet, Hitoshi Katayama, Miles A. Kirchin, Richard Allsop, Piero Tirone and Dogan İbrahim and has published in prestigious journals such as Proceedings of the IEEE, Scientific Reports and IEEE Transactions on Computers.

In The Last Decade

A.C. Davies

40 papers receiving 597 citations

Peers

A.C. Davies
Comparison fields: 5 of 98
  • Computer Vision and Pattern Recognition 287
  • Artificial Intelligence 222
  • Electrical and Electronic Engineering 177
  • Biomedical Engineering 92
  • Computational Theory and Mathematics 62
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Citations per field, relative to A.C. Davies
A.C. Davies · 1×
Citations per year, relative to A.C. Davies
A.C. Davies · 1×

Countries citing papers authored by A.C. Davies

Since Specialization
Citations

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

Fields of papers citing papers by A.C. Davies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A.C. Davies

This figure shows the co-authorship network connecting the top 25 collaborators of A.C. Davies. A scholar is included among the top collaborators of A.C. 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 A.C. Davies. A.C. 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 4
2 2
3 1
4 2
5 6
6 19
7 4
8 8
9
Low-Order FIR Filters for Audio Equalization
3
10
Chaotic signals generated by overflow nonlinearities in digital-filters
6
11 4
12 4
13 18
14 1
15 3
16 42
17 6
18 18
19 16
20 9

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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2026