Ken Sharman

482 citations
15 papers · 229 · h-index 7

Impact in

    • Advanced Control Systems Optimization
    • Control Systems and Identification
    • Adaptive Control of Nonlinear Systems
    • Advanced Control Systems Design
    • Evolutionary Algorithms and Applications
    • Metaheuristic Optimization Algorithms Research
    • Neural Networks and Applications

Papers in

Ken Sharman

14 papers receiving 205 citations

Peers

Ken Sharman
Comparison fields: 5 of 55
  • Control and Systems Engineering 102
  • Artificial Intelligence 91
  • Cognitive Neuroscience 33
  • Signal Processing 9
  • Computational Theory and Mathematics 13
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David Ha United States
Wai K. Yeap New Zealand
Wei-Yuan Cheng Taiwan
Juan Carlos Santamaria United States
Ferenc Bálint-Benczédi Germany
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Kazuhiko Kawamoto Japan
Kristoffer Sjöö Sweden
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Citations per field
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Citations per year

Countries citing papers authored by Ken Sharman

Since Specialization
Citations

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

Fields of papers citing papers by Ken Sharman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Ken Sharman, 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 Ken Sharman Line = papers co-authored together Ken Sharman links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1998108
2 199654
3 200325
4
Electroencephalogram signal classification for brain computer interfaces using wavelets and support vector machines
20079
5 20098
6 20087
7 20066
8 20135
9 20102
10 20061
11
Implementación de algoritmos evolutivos para un entorno de distribución epidémica
20071
12 19981
13
Configuración de una herramienta evolutiva para el Problema de Transporte e Inventario
20071
14 20071
15 20090

About Ken Sharman

Ken Sharman is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Industrial and Manufacturing Engineering, Control and Systems Engineering and Signal Processing, having authored 15 papers that have together received 229 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (5 papers), Metaheuristic Optimization Algorithms Research (4 papers), EEG and Brain-Computer Interfaces (3 papers), Neural Networks and Applications (3 papers), Vehicle Routing Optimization Methods (2 papers), Advanced Control Systems Optimization (2 papers), Urban and Freight Transport Logistics (2 papers) and Blind Source Separation Techniques (2 papers). The work is most often cited by research in Control and Systems Engineering (102 citations), Artificial Intelligence (91 citations), Cognitive Neuroscience (33 citations), Signal Processing (9 citations) and Computational Theory and Mathematics (13 citations). Ken Sharman has collaborated with scholars based in Spain, United Kingdom and Mexico. Frequent co-authors include D.J. Murray-Smith, Yun Li, Kerry Kilborn, Eduardo Reck Miranda, Anna I. Esparcia-Alcázar, J. J. Merelo, Pedro Á. Castillo, Eva Alfaro-Cid, Francisco Fernández de Vega and Lourdes Araujo. Their work appears in journals such as International Journal of Control, Evolutionary Computation, Control Engineering Practice, Computer Music Journal and Zenodo (CERN European Organization for Nuclear Research).

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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