Ken Sharman

About

Ken Sharman is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Control and Systems Engineering. According to data from OpenAlex, Ken Sharman has authored 8 papers receiving a total of 147 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Cognitive Neuroscience and 2 papers in Control and Systems Engineering. Recurrent topics in Ken Sharman’s work include Evolutionary Algorithms and Applications (4 papers), Neural Networks and Applications (3 papers) and Metaheuristic Optimization Algorithms Research (3 papers). Ken Sharman is often cited by papers focused on Evolutionary Algorithms and Applications (4 papers), Neural Networks and Applications (3 papers) and Metaheuristic Optimization Algorithms Research (3 papers). Ken Sharman collaborates with scholars based in United Kingdom and Spain. Ken Sharman's co-authors include D.J. Murray-Smith, Yun Li, Eduardo Reck Miranda, Kerry Kilborn, Anna I. Esparcia-Alcázar, Pedro Á. Castillo, Antonio M. Mora, Eva Alfaro-Cid and J. J. Merelo and has published in prestigious journals such as International Journal of Control, Control Engineering Practice and Evolutionary Computation.

In The Last Decade

Co-authorship network of co-authors of Ken Sharman i

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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.

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).

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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