Juan-Carlos Cubero

2.1k total citations · 1 hit paper
68 papers, 1.1k citations indexed

About

Juan-Carlos Cubero is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Juan-Carlos Cubero has authored 68 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 28 papers in Signal Processing and 24 papers in Computer Networks and Communications. Recurrent topics in Juan-Carlos Cubero's work include Data Management and Algorithms (27 papers), Advanced Database Systems and Queries (23 papers) and Data Mining Algorithms and Applications (16 papers). Juan-Carlos Cubero is often cited by papers focused on Data Management and Algorithms (27 papers), Advanced Database Systems and Queries (23 papers) and Data Mining Algorithms and Applications (16 papers). Juan-Carlos Cubero collaborates with scholars based in Spain, Poland and Denmark. Juan-Carlos Cubero's co-authors include Fernando Berzal, Víctor Martínez, M.A. Vila, Juan Miguel Medina, Olga Pons, Nicolás Marı́n, José-Marı́a Serrano, Daniel Sánchez, José Á. Galindo and Marı́a J. Martı́n-Bautista and has published in prestigious journals such as SHILAP Revista de lepidopterología, Communications of the ACM and Expert Systems with Applications.

In The Last Decade

Juan-Carlos Cubero

62 papers receiving 1.0k citations

Hit Papers

A Survey of Link Prediction in Complex Networks 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Juan-Carlos Cubero Spain 16 625 368 316 307 278 68 1.1k
Vineet Chaoji United States 14 653 1.0× 558 1.5× 218 0.7× 283 0.9× 294 1.1× 26 1.2k
Fan Jiang China 19 562 0.9× 175 0.5× 314 1.0× 458 1.5× 199 0.7× 101 1.3k
Nan Du United States 22 671 1.1× 468 1.3× 115 0.4× 340 1.1× 155 0.6× 90 1.6k
Francesco Gullo Italy 21 593 0.9× 488 1.3× 301 1.0× 196 0.6× 266 1.0× 64 1.1k
Panagiotis Symeonidis Greece 23 853 1.4× 376 1.0× 181 0.6× 1.1k 3.6× 212 0.8× 68 1.8k
Yun Xiong China 21 779 1.2× 244 0.7× 60 0.2× 420 1.4× 119 0.4× 116 1.4k
Fernando Berzal Spain 14 725 1.2× 367 1.0× 224 0.7× 415 1.4× 262 0.9× 48 1.2k
Yuan Fang China 28 1.3k 2.1× 357 1.0× 321 1.0× 600 2.0× 205 0.7× 144 2.5k
Chaokun Wang China 19 613 1.0× 354 1.0× 189 0.6× 452 1.5× 375 1.3× 115 1.4k
Rinkle Rani India 21 455 0.7× 63 0.2× 147 0.5× 327 1.1× 303 1.1× 101 1.3k

Countries citing papers authored by Juan-Carlos Cubero

Since Specialization
Citations

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

Fields of papers citing papers by Juan-Carlos Cubero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan-Carlos Cubero. 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 Juan-Carlos Cubero. The network helps show where Juan-Carlos Cubero may publish in the future.

Co-authorship network of co-authors of Juan-Carlos Cubero

This figure shows the co-authorship network connecting the top 25 collaborators of Juan-Carlos Cubero. A scholar is included among the top collaborators of Juan-Carlos Cubero 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 Juan-Carlos Cubero. Juan-Carlos Cubero 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
1.
Cubero, Juan-Carlos, et al.. (2022). An uncommon cause of digestive neoplasm: duodenal melanoma. Revista Española de Enfermedades Digestivas. 115(3). 151–152.
2.
Cubero, Juan-Carlos, et al.. (2018). Depósito de lantano en la mucosa gástrica de paciente con enfermedad renal crónica. Revista Española de Patología. 52(2). 112–116.
3.
Berzal, Fernando, et al.. (2010). POTMiner: mining ordered, unordered, and partially-ordered trees. Knowledge and Information Systems. 23(2). 199–224. 6 indexed citations
4.
Quesada, Luis, Fernando Berzal, & Juan-Carlos Cubero. (2010). JSIMIL - A Java Bytecode Clone Detector. 333–336. 1 indexed citations
5.
Cubero, Juan-Carlos, et al.. (2009). Etiología multifactorial y parcelas patogénicas de la enfermedad inflamatoria intestinal. Gastroenterología y Hepatología. 32(9). 633–652. 2 indexed citations
6.
Cubero, Juan-Carlos, et al.. (2009). Esofagitis eosinofílica: algoritmo secuencial de opciones terapéuticas. Medicina Clínica. 133(20). 798–801. 1 indexed citations
7.
Cubero, Juan-Carlos, et al.. (2009). La mucosa gástrica como estructura diana de agresiones proinflamatorias persistentes: modelos patogénicos de gastritis crónica. Gastroenterología y Hepatología. 32(4). 294–306. 5 indexed citations
8.
Cubero, Juan-Carlos, et al.. (2008). Tumores carcinoides gastrointestinales. Biología celular, expresión molecular y consecuencias fisiopatológicas de una neoplasia enigmática. Gastroenterología y Hepatología. 31(6). 356–365. 1 indexed citations
9.
Cubero, Juan-Carlos, et al.. (2007). Enfermedad inflamatoria del páncreas por autoagresión enzimática: un modelo excepcional de «crinofagia» glandular. Gastroenterología y Hepatología. 30(6). 343–350. 1 indexed citations
10.
Cubero, Juan-Carlos, et al.. (2007). Adenocarcinoma gástrico: intento de aproximación a una realidad biológica compleja. Medicina Clínica. 128(1). 21–30. 1 indexed citations
11.
Berzal, Fernando, et al.. (2006). Taking class importance into account. 1. 1–6. 1 indexed citations
12.
Cubero, Juan-Carlos, et al.. (2006). Las esofagogastroenteritis eosinofílicas dentro del espectro de las alergias alimentarias. Revista Clínica Española. 206(5). 236–238. 2 indexed citations
13.
Cubero, Juan-Carlos, et al.. (2006). Los granulocitos eosinófilos: de residentes habituales de la mucosa gastrointestinal normal a protagonistas agresivos de la gastroenteritis eosinofílica. Gastroenterología y Hepatología. 29(6). 352–357. 6 indexed citations
14.
Cubero, Juan-Carlos, et al.. (2005). A fuzzy object relational approach to flexible real estate trade. International Conference on Artificial Intelligence. 1. 2 indexed citations
15.
Berzal, Fernando, Juan-Carlos Cubero, Nicolás Marı́n, José-Marı́a Serrano, & Ignacio J. Blanco. (2003). Usability Issues in Data Mining Systems.. International Conference on Enterprise Information Systems. 418–421. 2 indexed citations
16.
Calabuig, Miguel, et al.. (1999). [Celiac disease: epidemiological profile, etiological circumstances and pathogenic aspects of an enigmatic enteropathy].. PubMed. 199(6). 384–90. 3 indexed citations
17.
Blanco, Ignacio J., et al.. (1999). Implementation of an inference engine for fuzzy databases.. European Society for Fuzzy Logic and Technology Conference. 493–496. 1 indexed citations
18.
Galindo, José Á., Juan Miguel Medina, Juan-Carlos Cubero, & Olga Pons. (1999). Management of an estate agency allowing fuzzy data and flexible queries.. European Society for Fuzzy Logic and Technology Conference. 485–488. 5 indexed citations
19.
Cubero, Juan-Carlos, Juan Miguel Medina, Olga Pons, & M.A. Vila. (1999). Non-transitive fuzzy dependencies (I). Fuzzy Sets and Systems. 106(3). 401–431. 2 indexed citations
20.
Cubero, Juan-Carlos, Olga Pons, & M.A. Vila. (1994). Weak and strong resemblance in fuzzy functional dependencies. 162–166 vol.1. 8 indexed citations

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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