Pedro González

1.3k citations
45 papers · 818 indexed · h-index 15
Topics
Data Mining Algorithms and Applications (23 papers)Metaheuristic Optimization Algorithms Research (11 papers)Evolutionary Algorithms and Applications (11 papers)
Partner nations
SpainUnited KingdomChile

In The Last Decade

Pedro González

41 papers receiving 769 citations

Peers

Pedro González
Comparison fields: 5 of 112
  • Artificial Intelligence 467
  • Information Systems 348
  • Molecular Biology 123
  • Computational Theory and Mathematics 108
  • Computer Science Applications 84
Replace Seppo Puuronen with:
Seppo Puuronen Finland
Tu-Bao Ho Japan
Elham S. Khorasani United States
Zhijun Zhan United States
Eva Gibaja Spain
Mazleena Salleh Malaysia
T. V. Geetha India
Pedro G. Espejo Spain
Lawrence Shih United States
Pedro González relative to Seppo Puuronen Finland Seppo Puuronen's profile →
Citations per field
00.5×
Seppo Puuronen · 1×
Citations per year

Countries citing papers authored by Pedro González

Since Specialization
Citations

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

Fields of papers citing papers by Pedro González

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pedro González

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro González. A scholar is included among the top collaborators of Pedro González 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 Pedro González. Pedro González 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 1
2 0
3 0
4 1
5 6
6 13
7 4
8 11
9 15
10 8
11 4
12 22
13 4
14 17
15 14
16 6
17 72
18 2
19 27
20 12

About Pedro González

Pedro González is a scholar working on Information Systems, Artificial Intelligence and Computer Science Applications, having authored 45 papers that have together received 818 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (23 papers), Metaheuristic Optimization Algorithms Research (11 papers) and Evolutionary Algorithms and Applications (11 papers). The work is most often cited by research in Computer Science Applications (84 citations), Information Systems (348 citations) and Artificial Intelligence (467 citations). Pedro González has collaborated with scholars based in Spain, United Kingdom and Chile. Frequent co-authors include María José del Jesús, C. J. Carmona, Francisco Herrera, Enrique Palacián, Sebastián Ventura, Cristóbal Romero, José A. Gámez, José M. Puerta, Luís Jiménez-Treviño and María Dolores Pérez-Godoy. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Biochemical and Biophysical Research Communications.

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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