José M. Troya

1.5k citations
30 papers · 663 indexed · h-index 10
Topics
Metaheuristic Optimization Algorithms Research (12 papers)Evolutionary Algorithms and Applications (11 papers)Advanced Multi-Objective Optimization Algorithms (6 papers)
Partner nations
Spain

In The Last Decade

José M. Troya

29 papers receiving 614 citations

Peers

José M. Troya
Comparison fields: 5 of 79
  • Artificial Intelligence 423
  • Computational Theory and Mathematics 206
  • Computer Networks and Communications 170
  • Industrial and Manufacturing Engineering 87
  • Information Systems 59
Replace Masaharu Munetomo with:
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Á. E. Eiben Netherlands
Guillermo Leguizamón Argentina
Byung Ro Moon South Korea
Aleksander Byrski Poland
Shigeyoshi Tsutsui Japan
Keith E. Mathias United States
Dudy Lim Singapore
Jinyun Xue China
P. Merz Germany
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Citations per field
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Citations per year

Countries citing papers authored by José M. Troya

Since Specialization
Citations

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

Fields of papers citing papers by José M. Troya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José M. Troya. 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 José M. Troya. The network helps show where José M. Troya may publish in the future.

Co-authorship network of co-authors of José M. Troya

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 16
2 6
3 1
4 42
5 7
6 2
7 0
8 6
9
NET as a Platform for Implementing Concurrent Objects (Research Note)
2
10 3
11 109
12
BCL: A Border-based Coordination Language.
2
13 53
14
Entropic and real-time analysis of the search with panmictic, structured, and parallel distributed genetic algorithms
1
15 14
16 1
17 9
18
A parallel best bound first branch and bound scheme
1
19 1
20
Placement of Records on Linear Storage Devices.
2

About José M. Troya

José M. Troya is a scholar working on Computational Theory and Mathematics, Hardware and Architecture and Artificial Intelligence, having authored 30 papers that have together received 663 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (12 papers), Evolutionary Algorithms and Applications (11 papers) and Advanced Multi-Objective Optimization Algorithms (6 papers). The work is most often cited by research in Artificial Intelligence (423 citations), Computational Theory and Mathematics (206 citations) and Industrial and Manufacturing Engineering (87 citations). José M. Troya has collaborated with scholars based in Spain. Frequent co-authors include Enrique Alba, Antonio J. Nebro, Carlos Cotta, Francisco Luna, Lidia Fuentes, Manuel Díáz, Bartolomé Rubio, Antonio Vallecillo, Gabriel Luque and Enrique Soler. Their work appears in journals such as Neurocomputing, Future Generation Computer Systems and IEEE Software.

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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