Charles Day

3.0k total citations · 1 hit paper
31 papers, 1.8k citations indexed

About

Charles Day is a scholar working on Artificial Intelligence, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Charles Day has authored 31 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 10 papers in Biomedical Engineering and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Charles Day's work include Neural Networks and Reservoir Computing (9 papers), Advanced Memory and Neural Computing (8 papers) and Neural Networks and Applications (5 papers). Charles Day is often cited by papers focused on Neural Networks and Reservoir Computing (9 papers), Advanced Memory and Neural Computing (8 papers) and Neural Networks and Applications (5 papers). Charles Day collaborates with scholars based in United Kingdom, Iraq and Belgium. Charles Day's co-authors include Zhong Fan, Chris Barlow, J.B. Butcher, P.W. Haycock, Benjamin Schrauwen, D. Verstraeten, M. L. G. Oldfield, Gary D. Lock, 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

Charles Day

27 papers receiving 1.8k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Digital Twin: Enabling Technologies, Challenges and Open Research

2020 1.3k citations Zhong Fan, Charles Day et al. IEEE Access profile →

Peers

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).

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.

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.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Heterogeneous data fusion for the improved non-destructive detection of steel-reinforcement defects using echo state networks 2022 ·Structural Health Monitoring ·(unknown), Charles Day, P.W. Haycock	3
2	A new method of contrast enhancement of musculoskeletal ultrasound imaging based on fuzzy inference technique 2021 ·Biomedical Physics & Engineering Express ·(unknown), (unknown), Charles Day, Edward K. Chadwick	3
3	Automated measurements of morphological parameters of muscles and tendons 2020 ·Biomedical Physics & Engineering Express ·(unknown), Charles Day, Edward K. Chadwick	4
4	A comparative evaluation of time-delay, deep learning and echo state neural networks when used as simulated transhumeral prosthesis controllers 2020 ·Aberdeen University Research Archive (Aberdeen University) ·Charles Day, Edward K. Chadwick, Dimitra Blana	6
5	Digital Twin: Enabling Technologies, Challenges and Open Research breakdown → 2020 ·IEEE Access ·(unknown), Zhong Fan, Charles Day, Chris Barlow	1294
6	Using Fuzzy Inference system for detection the edges of Musculoskeletal Ultrasound Images 2019 ·(unknown), Charles Day, Edward K. Chadwick	5
7	Fault Detection in Steel-Reinforced Concrete Using Echo State Networks 2018 ·(unknown), Charles Day, P.W. Haycock	2
8	Adult fly age estimations using cuticular hydrocarbons and Artificial Neural Networks in forensically important Calliphoridae species 2017 ·Forensic Science International ·Hannah E. Moore, J.B. Butcher, Charles Day, Falko P. Drijfhout	20
9	Optimizing Echo State Networks for Static Pattern Recognition 2017 ·Cognitive Computation ·(unknown), Sarah Taylor, Charles Day, P.W. Haycock	18
10	Age estimation of Calliphora (Diptera: Calliphoridae) larvae using cuticular hydrocarbon analysis and Artificial Neural Networks 2016 ·Forensic Science International ·Hannah E. Moore, J.B. Butcher, Craig D. Adam, Charles Day, Falko P. Drijfhout	25
11	An Echo State Network approach to structural health monitoring 2015 ·(unknown), Charles Day, P.W. Haycock	6
12	Artificial neural network analysis of hydrocarbon profiles for the ageing of Lucilia sericata for post mortem interval estimation 2013 ·Forensic Science International ·J.B. Butcher, Hannah E. Moore, Charles Day, (unknown), Falko P. Drijfhout	16
13	Reservoir computing and extreme learning machines for non-linear time-series data analysis 2012 ·Neural Networks ·J.B. Butcher, D. Verstraeten, Benjamin Schrauwen, Charles Day, P.W. Haycock	108
14	Cyberattack threat at Pearl Harbor scale 2012 ·Physics Today ·Charles Day	0
15	Extending reservoir computing with random static projections: a hybrid between extreme learning and RC 2010 ·Ghent University Academic Bibliography (Ghent University) ·J.B. Butcher, David Verstraeten, Benjamin Schrauwen, Charles Day, P.W. Haycock	17
16	Pruning reservoirs with Random Static Projections 2010 ·J.B. Butcher, Charles Day, P.W. Haycock, D. Verstraeten, Benjamin Schrauwen	11
17	Using polychromatic X-radiography to examine realistic imitation firearms 2008 ·Forensic Science International ·J. Christopher Austin, Charles Day, (unknown), (unknown), P.W. Haycock	2
18	An investigation into the agreement between clinical, biomechanical and neurophysiological measures of spasticity 2008 ·Clinical Rehabilitation ·Shweta Malhotra, (unknown), Anthony B. Ward, Charles Day, Peter B. Jones, Christine Roffe, Anand Pandyan	87
19	Aerodynamic performance of an annular cascade of film cooled nozzle guide vanes under engine representative conditions 2000 ·Experiments in Fluids ·Charles Day, M. L. G. Oldfield, Gary D. Lock	57
20	The Influence of Film Cooling on the Efficiency of an Annular Nozzle Guide Vane Cascade 1999 ·Journal of Turbomachinery ·Charles Day, M. L. G. Oldfield, Gary D. Lock	15

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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