Pablo Cordero

68 papers receiving 448 citations

Peers

Pablo Cordero
Comparison fields: 5 of 50
  • Computational Theory and Mathematics 358
  • Management Science and Operations Research 158
  • Signal Processing 100
  • Artificial Intelligence 190
  • Information Systems 121
Replace Manuel Enciso with:
Manuel Enciso Spain
Jozef Pócs Slovakia
Stanislav Krajči Slovakia
Abd El Fattah El Atik Egypt
Eloísa Ramírez‐Poussa Spain
Loredana Biacino Italy
El-Sayed A. Abo-Tabl Egypt
Xiaoli He China
Michiro Kondo Japan
Sebastian Ordyniak Austria
Pablo Cordero relative to Manuel Enciso Spain Manuel Enciso's profile →
Citations per field
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Citations per year

Countries citing papers authored by Pablo Cordero

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Cordero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Pablo Cordero, 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 Pablo Cordero Line = papers co-authored together Pablo Cordero links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201232
2 201426
3 202023
4 201523
5 201621
6 201620
7 201517
8 201616
9 201716
10 201315
11 200414
12 201413
13 200512
14
Computing minimal generators from implications: a logic-guided approach
201210
15 202210
16 202010
17 20219
18 20068
19 20168
20
A generalized framework to consider positive and negative attributes in formal concept analysis.
20147

About Pablo Cordero

Pablo Cordero is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Management Science and Operations Research, Information Systems and Signal Processing, having authored 73 papers that have together received 462 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (47 papers), Advanced Algebra and Logic (34 papers), Data Management and Algorithms (19 papers), Data Mining Algorithms and Applications (17 papers), Advanced Database Systems and Queries (17 papers), Fuzzy and Soft Set Theory (15 papers), Logic, Reasoning, and Knowledge (11 papers) and Semantic Web and Ontologies (9 papers). The work is most often cited by research in Computational Theory and Mathematics (358 citations), Management Science and Operations Research (158 citations), Signal Processing (100 citations), Artificial Intelligence (190 citations) and Information Systems (121 citations). Pablo Cordero has collaborated with scholars based in Spain, Belgium and France. Frequent co-authors include Manuel Enciso, Ángel Mora, Manuel Ojeda‐Aciego, Inma P. Cabrera, Gloria Gutiérrez, Bernard De Baets, Domingo López-Rodríguez, Gabriel Aguilera‐Venegas, Vilém Vychodil and Sebastian Rudolph. Their work appears in journals such as Fuzzy Sets and Systems, Information Sciences, International Journal of Approximate Reasoning, Discrete Applied Mathematics and Mathematical Methods in the Applied Sciences.

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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