José Aguilar

6.8k citations
386 papers · 4.0k indexed · 1 hit paper · h-index 32
Topics
Semantic Web and Ontologies (31 papers)Cognitive Science and Mapping (26 papers)Fuzzy Logic and Control Systems (24 papers)
Partner nations
VenezuelaColombiaSpain

In The Last Decade

José Aguilar

332 papers receiving 3.8k citations

Hit Papers

Towards the Deployment of Machine Learning Solutions in N...2018202620202023201850100150200250

Peers

José Aguilar
Comparison fields: 5 of 169
  • Artificial Intelligence 1.2k
  • Computer Networks and Communications 569
  • Epidemiology 508
  • Information Systems 456
  • Electrical and Electronic Engineering 384
Replace Václav Snåšel with:
Václav Snåšel Czechia
Charles M. Macal United States
Xiaohong Huang China
Milind Tambe United States
Ioannis Ch. Paschalidis United States
Cristiano André da Costa Brazil
Chris Watkins United Kingdom
G. M. P. O’Hare Ireland
Weili Wu United States
Naren Ramakrishnan United States
José Aguilar relative to Václav Snåšel Czechia Václav Snåšel's profile →
Citations per field
00.5×5.8×
Václav Snåšel · 1×
Citations per year

Countries citing papers authored by José Aguilar

Since Specialization
Citations

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

Fields of papers citing papers by José Aguilar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José Aguilar

This figure shows the co-authorship network connecting the top 25 collaborators of José Aguilar. A scholar is included among the top collaborators of José Aguilar 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 Aguilar. José Aguilar 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
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3 3
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5 6
6 3
7 5
8 2
9 5
10 7
11 18
12 4
13 2
14 9
15 24
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An affective model for the multiagent architecture for self-organizing and emergent systems (MASOES)
6
18
A fuzzy classifier system for fault tolerance
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19
Agent-based design for fault management system in industrial processes
3
20
A cache memory system based on a dynamic/adaptive replacement approach
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About José Aguilar

José Aguilar is a scholar working on Computer Science Applications, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 386 papers that have together received 4.0k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (31 papers), Cognitive Science and Mapping (26 papers) and Fuzzy Logic and Control Systems (24 papers). The work is most often cited by research in Computer Science Applications (229 citations), Artificial Intelligence (1.2k citations) and Industrial and Manufacturing Engineering (295 citations). José Aguilar has collaborated with scholars based in Venezuela, Colombia and Spain. Frequent co-authors include Ernesto Expósito, Rodrigo García, Mauricio Toro, Manuel Sánchez, María Luz García‐García, María D. R‐Moreno, Pilar Pérez‐Breña, Alberto Garcés-Jiménez, Mayte Coiras and Fannia Pacheco. Their work appears in journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Journal of Cleaner Production.

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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