Juan Aguarón

26 papers receiving 1.2k citations

Peers

Juan Aguarón
Comparison fields: 5 of 117
  • Management Science and Operations Research 784
  • Artificial Intelligence 281
  • Control and Systems Engineering 156
  • Management, Monitoring, Policy and Law 137
  • Computational Theory and Mathematics 130
Replace M. Teresa Lamata with:
M. Teresa Lamata Spain
Marı́a Teresa Escobar Spain
José María Moreno‐Jiménez Spain
William C. Wedley Canada
Luiz Flávio Autran Monteiro Gomes Brazil
Matteo Brunelli Italy
Tony Gear United Kingdom
Jean‐Marc Martel Canada
Zhigeng Fang China
Gordon B. Crawford United States
Juan Aguarón relative to M. Teresa Lamata Spain M. Teresa Lamata's profile →
Citations per field
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Citations per year

Countries citing papers authored by Juan Aguarón

Since Specialization
Citations

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

Fields of papers citing papers by Juan Aguarón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Aguarón

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Aguarón. A scholar is included among the top collaborators of Juan Aguarón 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 Juan Aguarón. Juan Aguarón 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 2
2 6
3 2
4 2
5 65
6 2
7 25
8 42
9 7
10 5
11 52
12 11
13 9
14 78
15 46
16
Visualización gráfica de las estructuras de preferencias en AHP
1
17 157
18 23
19 34
20
Validez y robustez y estabilidad en decisión multicriterio: análisis de sensibilidad en el proceso analítico jerárquico
4

About Juan Aguarón

Juan Aguarón is a scholar working on Management Science and Operations Research, General Decision Sciences and Statistics and Probability, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (18 papers), Cognitive Science and Mapping (6 papers) and Economic and Environmental Valuation (3 papers). The work is most often cited by research in Management Science and Operations Research (784 citations), Ecological Modeling (57 citations) and Management, Monitoring, Policy and Law (137 citations). Juan Aguarón has collaborated with scholars based in Spain, Mexico and United States. Frequent co-authors include José María Moreno‐Jiménez, Marı́a Teresa Escobar, Jorge Luis García-Alcaráz, A. Vega, Jorge Navarro, María Dolores Arenas, Rafael Santamaría Aquilué, F Álvarez-Ude, Antonio Jiménez Martín and Alfredo Altuzarra Casas. Their work appears in journals such as European Journal of Operational Research, Computers in Human Behavior and Decision Support Systems.

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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