Ramón Fuentes-González

902 citations
33 papers · 612 indexed · h-index 11

Ramón Fuentes-González

33 papers receiving 585 citations

Peers

Ramón Fuentes-González
Comparison fields: 5 of 40
  • Computational Theory and Mathematics 536
  • Management Science and Operations Research 331
  • Signal Processing 125
  • Artificial Intelligence 276
  • Statistics and Probability 43
Replace Ana Burusco with:
Ana Burusco Spain
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Ramón Fuentes-González relative to Ana Burusco Spain Ana Burusco's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ramón Fuentes-González

Since Specialization
Citations

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

Fields of papers citing papers by Ramón Fuentes-González

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 8 scholars most cited alongside Ramón Fuentes-González, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ramón Fuentes-González Line = papers co-authored together Ramón Fuentes-González links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20176
2 201523
3 201411
4
On information retrieval in morphological image and signal processing
20131
5
An interpretation of the L-Fuzzy Concept Analysis as a tool for the Morphological Image and Signal Processing.
20121
6 20128
7 201128
8 201010
9
Interval-valued Fuzzy propositions. An application to the L-Fuzzy contexts with absent values
20091
10 200829
11 20082
12 20074
13 20064
14
Fuzzy morphological operators in image processing
20035
15 20016
16 200144
17
On contrast intensification operators and fuzzy equality relations
20001
18 200062
19
On Completeness and Direction in Fuzzy Relational Systems
19981
20
Concept lattices associated with L-Fuzzy W-contexts
19964

About Ramón Fuentes-González

Ramón Fuentes-González is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research and Artificial Intelligence, having authored 33 papers that have together received 612 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (24 papers), Multi-Criteria Decision Making (17 papers), Fuzzy Logic and Control Systems (17 papers), Advanced Algebra and Logic (10 papers), Fuzzy and Soft Set Theory (5 papers), Image Retrieval and Classification Techniques (3 papers), Data Mining Algorithms and Applications (3 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Computational Theory and Mathematics (536 citations), Management Science and Operations Research (331 citations) and Signal Processing (125 citations). Ramón Fuentes-González has collaborated with scholars based in Spain and Mexico. Frequent co-authors include Ana Burusco, P. Burillo, J. Bragard, Humberto Bustince, Mikel Sesma‐Sara, Juan Carlos Dı́az, Jesús Medina and Andrés Marín. Their work appears in journals such as Information Sciences, Fuzzy Sets and Systems and Computers & Mathematics with Applications.

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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