Ken Sharman

482 total citations
15 papers, 229 citations indexed

About

Ken Sharman is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Industrial and Manufacturing Engineering. According to data from OpenAlex, Ken Sharman has authored 15 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Cognitive Neuroscience and 3 papers in Industrial and Manufacturing Engineering. Recurrent topics in Ken Sharman's work include Evolutionary Algorithms and Applications (5 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Neural Networks and Applications (3 papers). Ken Sharman is often cited by papers focused on Evolutionary Algorithms and Applications (5 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Neural Networks and Applications (3 papers). Ken Sharman collaborates with scholars based in Spain, United Kingdom and Mexico. Ken Sharman's co-authors include D.J. Murray-Smith, Yun Li, Kerry Kilborn, Eduardo Reck Miranda, Anna I. Esparcia-Alcázar, J. J. Merelo, Eva Alfaro-Cid, Pedro Á. Castillo, Francisco Fernández de Vega and Leonardo Trujillo and has published in prestigious journals such as International Journal of Control, Control Engineering Practice and Evolutionary Computation.

In The Last Decade

Ken Sharman

14 papers receiving 205 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ken Sharman Spain 7 102 91 33 24 15 15 229
Wei-Yuan Cheng Taiwan 7 54 0.5× 215 2.4× 27 0.8× 14 0.6× 48 3.2× 7 374
Juan Carlos Santamaria United States 4 57 0.6× 211 2.3× 13 0.4× 13 0.5× 9 0.6× 8 260
David Ha United States 6 42 0.4× 121 1.3× 24 0.7× 32 1.3× 18 1.2× 17 234
Sukoya Tawaratsumida Japan 6 71 0.7× 202 2.2× 16 0.5× 27 1.1× 11 0.7× 7 271
Thomas Rückstieß Germany 4 37 0.4× 137 1.5× 11 0.3× 8 0.3× 17 1.1× 7 203
André Barreto United States 8 46 0.5× 176 1.9× 25 0.8× 4 0.2× 15 1.0× 16 223
Shoichi Noda Japan 7 87 0.9× 244 2.7× 19 0.6× 30 1.3× 11 0.7× 11 320
Wai K. Yeap New Zealand 7 32 0.3× 122 1.3× 11 0.3× 15 0.6× 16 1.1× 21 280
Jairo Inga Germany 10 94 0.9× 54 0.6× 33 1.0× 12 0.5× 5 0.3× 22 238

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-authorship network of co-authors of Ken Sharman

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

All Works

15 of 15 papers shown
1.
Alfaro-Cid, Eva, Ken Sharman, & Anna I. Esparcia-Alcázar. (2013). Genetic Programming and Serial Processing for Time Series Classification. Evolutionary Computation. 22(2). 265–285. 5 indexed citations
2.
Esparcia-Alcázar, Anna I., et al.. (2010). An evolutionary approach to integrated inventory and routing management in a real world case. 3906. 1–7. 2 indexed citations
3.
Alfaro-Cid, Eva, Anna I. Esparcia-Alcázar, Pilar Moya, et al.. (2009). Multiobjective genetic programming approach for a smooth modeling of the release kinetics of a pheromone dispenser. 2225–2230.
4.
Vega, Francisco Fernández de, Leonardo Trujillo, Gustavo Olague, et al.. (2009). Increasing GP Computing Power for Free via Desktop GRID Computing and Virtualization. 419–423. 8 indexed citations
5.
Mora, Antonio M., et al.. (2008). Discovering causes of financial distress by combining evolutionary algorithms and artificial neural networks. 4507. 1243–1250. 7 indexed citations
6.
Sharman, Ken, et al.. (2007). Electroencephalogram signal classification for brain computer interfaces using wavelets and support vector machines. The European Symposium on Artificial Neural Networks. 361–366. 9 indexed citations
7.
Sharman, Ken, et al.. (2007). Implementación de algoritmos evolutivos para un entorno de distribución epidémica. Dialnet (Universidad de la Rioja). 159–166. 1 indexed citations
8.
Romano, Carlos Andrés, et al.. (2007). Configuración de una herramienta evolutiva para el Problema de Transporte e Inventario. Dialnet (Universidad de la Rioja). 1–8. 1 indexed citations
9.
Esparcia-Alcázar, Anna I., et al.. (2007). Configuring an evolutionary tool for the inventory and transportation problem. 1975–1982. 1 indexed citations
10.
Alfaro-Cid, Eva, Anna I. Esparcia-Alcázar, & Ken Sharman. (2006). Using distributed genetic programming to evolve classifiers for a brain computer interface.. The European Symposium on Artificial Neural Networks. 130(6). 59–66. 1 indexed citations
11.
Esparcia-Alcázar, Anna I., et al.. (2006). Towards an evolutionary tool for the allocation of supermarket shelf space. 1653–1660. 6 indexed citations
12.
Miranda, Eduardo Reck, et al.. (2003). On Harnessing the Electroencephalogram for the Musical Braincap. Computer Music Journal. 27(2). 80–102. 25 indexed citations
13.
Sharman, Ken, et al.. (1998). Evolving Complex Adaptive Iir Structures. INFM-OAR (INFN Catania). 1–4. 1 indexed citations
14.
Murray-Smith, D.J., et al.. (1998). Nonlinear model structure identification using genetic programming. Control Engineering Practice. 6(11). 1341–1352. 108 indexed citations
15.
Li, Yun, et al.. (1996). Genetic algorithm automated approach to the design of sliding mode control systems. International Journal of Control. 63(4). 721–739. 54 indexed citations

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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