Nigel Hudson

569 citations
27 papers · 481 · h-index 11

Impact in

    • Tensor decomposition and applications
    • EEG and Brain-Computer Interfaces
    • Neural dynamics and brain function
    • Functional Brain Connectivity Studies
    • Visual perception and processing mechanisms
    • Neural and Behavioral Psychology Studies

Papers in

    • EEG and Brain-Computer Interfaces 13
    • Neural dynamics and brain function 7
    • Functional Brain Connectivity Studies 4
    • Neural and Behavioral Psychology Studies 3
    • Blind Source Separation Techniques 6

Nigel Hudson

26 papers receiving 452 citations

Peers

Nigel Hudson
Comparison fields: 5 of 78
  • Computational Mathematics 27
  • Cognitive Neuroscience 352
  • Signal Processing 98
  • Management of Technology and Innovation 26
  • Business and International Management 7
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Citations per field
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Citations per year

Countries citing papers authored by Nigel Hudson

Since Specialization
Citations

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

Fields of papers citing papers by Nigel Hudson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nigel Hudson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nigel Hudson Line = papers co-authored together Nigel Hudson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983127
2 198573
3 201261
4 200932
5 200725
6 200923
7 200018
8 198614
9 198613
10 198412
11 198810
12 198610
13 20089
14 19979
15 19958
16 19887
17 19937
18 20087
19 19946
20 19902

About Nigel Hudson

Nigel Hudson is a scholar working on Cognitive Neuroscience, Signal Processing, Molecular Biology, Cellular and Molecular Neuroscience and Economics and Econometrics, having authored 27 papers that have together received 481 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (13 papers), Neural dynamics and brain function (7 papers), Blind Source Separation Techniques (6 papers), Fractal and DNA sequence analysis (4 papers), Functional Brain Connectivity Studies (4 papers), Neural and Behavioral Psychology Studies (3 papers), Neuroscience and Neural Engineering (3 papers) and Complex Systems and Time Series Analysis (3 papers). The work is most often cited by research in Computational Mathematics (27 citations), Cognitive Neuroscience (352 citations), Signal Processing (98 citations), Management of Technology and Innovation (26 citations) and Business and International Management (7 citations). Nigel Hudson has collaborated with scholars based in United Kingdom, South Korea and United States. Frequent co-authors include B.W. Jervis, E.M. Allen, Terence E. Johnson, Emmanuel Ifeachor, Sunil Wimalaratna, Jaeseung Jeong, Charles-Francois V. Latchoumane, Andrzej Cichocki, Monique Maurice and François Vialatte. Their work appears in journals such as Electroencephalography and Clinical Neurophysiology, IEEE Transactions on Biomedical Engineering, Clinical Neurophysiology, Knowledge-Based Systems and American Journal of Psychiatry.

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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