Alejandro Rosete Suárez

79 papers receiving 543 citations

Peers

Alejandro Rosete Suárez
Comparison fields: 5 of 95
  • Computational Theory and Mathematics 147
  • Information Systems 194
  • Human-Computer Interaction 45
  • Artificial Intelligence 254
  • Management Science and Operations Research 88
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Citations per year

Countries citing papers authored by Alejandro Rosete Suárez

Since Specialization
Citations

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

Fields of papers citing papers by Alejandro Rosete Suárez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alejandro Rosete Suárez. 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 Alejandro Rosete Suárez. The network helps show where Alejandro Rosete Suárez may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201385
2 201368
3 201666
4 201828
5 201626
6 201725
7 202118
8 201114
9 202013
10 202312
11 201612
12 201811
13 202211
14 200710
15 20238
16 20207
17 20137
18 20136
19 20096
20
A Study of Convolutional Architectures for Handshape Recognition applied to Sign Language
20175

About Alejandro Rosete Suárez

Alejandro Rosete Suárez is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering, Information Systems, Computer Networks and Communications and Computational Theory and Mathematics, having authored 95 papers that have together received 572 indexed citations. Recurring topics across this work include Vehicle Routing Optimization Methods (17 papers), Data Mining Algorithms and Applications (12 papers), Rough Sets and Fuzzy Logic (11 papers), Semantic Web and Ontologies (9 papers), Multi-Criteria Decision Making (8 papers), Optimization and Mathematical Programming (8 papers), Metaheuristic Optimization Algorithms Research (8 papers) and Data Management and Algorithms (7 papers). The work is most often cited by research in Computational Theory and Mathematics (147 citations), Information Systems (194 citations), Human-Computer Interaction (45 citations), Artificial Intelligence (254 citations) and Management Science and Operations Research (88 citations). Alejandro Rosete Suárez has collaborated with scholars based in Cuba, Spain and Mexico. Frequent co-authors include Jesús Alcalá‐Fdez, Francisco Herrera, Juan A. Aledo, José A. Gámez, José Luís Verdegay, Laura Cristina Lanzarini, Luigi Ceccaroni, Rafael Alejandro Espín Andrade, Juán Pavón and David Molina. Their work appears in journals such as Information Sciences, Lecture notes in computer science, Computational Intelligence and Neuroscience, IEEE Access and Journal of the Association for Information Science and Technology.

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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