Rafael Falcón

1.4k citations
57 papers · 885 indexed · h-index 16

Impact in

Papers in

Rafael Falcón

57 papers receiving 857 citations

Peers

Rafael Falcón
Comparison fields: 5 of 91
  • Artificial Intelligence 451
  • Management Science and Operations Research 147
  • Industrial and Manufacturing Engineering 105
  • Computer Networks and Communications 206
  • Signal Processing 96
Replace Leonid Sheremetov with:
Leonid Sheremetov Mexico
Paulo Costa United States
Izzatdin Abdul Aziz Malaysia
Gunar E. Liepins United States
Tayfun Küçükyılmaz Türkiye
Earl Cox United States
Mohd Fadzil Hassan Malaysia
Honghui Xu United States
Miren Nekane Bilbao Spain
Rafael Falcón relative to Leonid Sheremetov Mexico Leonid Sheremetov's profile →
Citations per field
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Citations per year

Countries citing papers authored by Rafael Falcón

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Falcón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rafael Falcón, 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 Rafael Falcón Line = papers co-authored together Rafael Falcón links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201917
2 201826
3 20184
4 201731
5 201718
6 201724
7 20175
8 20163
9 20155
10 201526
11
Behavioral learning of vessel types with fuzzy-rough decision trees
20147
12 201413
13 20149
14 20146
15 20143
16 20122
17 201213
18 20091
19 20087
20 20083

About Rafael Falcón

Rafael Falcón is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research, Ocean Engineering and Industrial and Manufacturing Engineering, having authored 57 papers that have together received 885 indexed citations. Recurring topics across this work include Maritime Navigation and Safety (11 papers), Metaheuristic Optimization Algorithms Research (10 papers), Rough Sets and Fuzzy Logic (8 papers), Multi-Criteria Decision Making (7 papers), Cognitive Science and Mapping (7 papers), Advanced Multi-Objective Optimization Algorithms (6 papers), Maritime Transport Emissions and Efficiency (5 papers) and Vehicle Routing Optimization Methods (5 papers). The work is most often cited by research in Artificial Intelligence (451 citations), Management Science and Operations Research (147 citations), Industrial and Manufacturing Engineering (105 citations), Computer Networks and Communications (206 citations) and Signal Processing (96 citations). Rafael Falcón has collaborated with scholars based in Canada, Cuba and Belgium. Frequent co-authors include Koen Vanhoof, Rami Abielmona, Rafael Bello, Gonzalo Nápoles, Emil M. Petriu, Wojciech Froelich, Amiya Nayak, Mario Köppen, Ibrahim Abualhaol and Bijan Raahemi. Their work appears in journals such as IEEE Transactions on Fuzzy Systems, International Journal of Approximate Reasoning, IEEE Transactions on Consumer Electronics, Information Sciences and Neural Networks.

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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