Charles Day

25 papers and 1.5k indexed citations
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About

Charles Day is a scholar working on Biomedical Engineering, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Charles Day has authored 25 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 7 papers in Artificial Intelligence and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Charles Day’s work include Neural Networks and Reservoir Computing (7 papers), Advanced Memory and Neural Computing (6 papers) and Advanced X-ray and CT Imaging (4 papers). Charles Day is often cited by papers focused on Neural Networks and Reservoir Computing (7 papers), Advanced Memory and Neural Computing (6 papers) and Advanced X-ray and CT Imaging (4 papers). Charles Day collaborates with scholars based in United Kingdom, Belgium and Iraq. Charles Day's co-authors include Zhong Fan, Chris Barlow, J.B. Butcher, P.W. Haycock, Benjamin Schrauwen, D. Verstraeten, Gary D. Lock, M. L. G. Oldfield, J. Christopher Austin and Falko P. Drijfhout and has published in prestigious journals such as Physics Today, IEEE Access and Neural Networks.

In The Last Decade

Co-authorship network of co-authors of Charles Day

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

Fields of papers citing papers by Charles Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Charles Day

Since Specialization
Citations

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

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