Josep M. Garrell

2.2k total citations · 1 hit paper
10 papers, 1.4k citations indexed

About

Josep M. Garrell is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Josep M. Garrell has authored 10 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Electrical and Electronic Engineering and 2 papers in Molecular Biology. Recurrent topics in Josep M. Garrell's work include Metaheuristic Optimization Algorithms Research (5 papers), Evolutionary Algorithms and Applications (5 papers) and Electromagnetic Compatibility and Noise Suppression (3 papers). Josep M. Garrell is often cited by papers focused on Metaheuristic Optimization Algorithms Research (5 papers), Evolutionary Algorithms and Applications (5 papers) and Electromagnetic Compatibility and Noise Suppression (3 papers). Josep M. Garrell collaborates with scholars based in Spain, United States and United Kingdom. Josep M. Garrell's co-authors include Jaume Bacardit, Víctor M. Rivas, Juan Carlos Fernández Fernández, Salvador García, Francisco Herrera, María José del Jesús, José Otero, Luciano Sánchez, Sebastián Ventura and Jesús Alcalá‐Fdez and has published in prestigious journals such as Soft Computing, IEEE Transactions on Electromagnetic Compatibility and International Journal of Neural Systems.

In The Last Decade

Josep M. Garrell

10 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

KEEL: a software tool to assess evolutionary algorithms for data mining problems

2008 1.2k citations Jesús Alcalá‐Fdez, Luciano Sánchez et al. Soft Computing profile →

Peers

Josep M. Garrell

AI

CTM

EEE

IS

CVPR

José Otero Spain

Isao Ono Japan

Ye Tian China

Tomasz Radzik United Kingdom

Janoš Šimon United States

Abdel-Rahman Hedar Egypt

Haruhisa Takahashi Japan

Qidi Wu China

Mohamed G. Gouda United States

Qiang He China

José Otero Spain

Josep M. Garrell

1.3k ×1.1

AI

396 ×1.0

CTM

145 ×0.6

EEE

215 ×1.2

IS

185 ×1.2

CVPR

Citations per year, relative to Josep M. Garrell Josep M. Garrell (= 1×) peers José Otero

Countries citing papers authored by Josep M. Garrell

Since Specialization

Citations

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

Fields of papers citing papers by Josep M. Garrell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Josep M. Garrell. 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 Josep M. Garrell. The network helps show where Josep M. Garrell may publish in the future.

Co-authorship network of co-authors of Josep M. Garrell

This figure shows the co-authorship network connecting the top 25 collaborators of Josep M. Garrell. A scholar is included among the top collaborators of Josep M. Garrell 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 Josep M. Garrell. Josep M. Garrell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Fornells, Albert, et al.. (2008). PATTERNS OUT OF CASES USING KOHONEN MAPS IN BREAST CANCER DIAGNOSIS. International Journal of Neural Systems. 18(1). 33–43. 6 indexed citations

2.

Alcalá‐Fdez, Jesús, Luciano Sánchez, Salvador García, et al.. (2008). KEEL: a software tool to assess evolutionary algorithms for data mining problems. Soft Computing. 13(3). 307–318. 1179 indexed citations breakdown →

3.

Llorà, Xavier & Josep M. Garrell. (2003). Prototype induction and attribute selection via evolutionary algorithms. Intelligent Data Analysis. 7(3). 193–208. 11 indexed citations

4.

Teixidò, Meritxell, Myriam Fabre, Xavier Llorà, et al.. (2003). Development of a Genetic Algorithm to Design and Identify Peptides that can Cross the Blood‐Brain Barrier. QSAR & Combinatorial Science. 22(7). 745–753. 16 indexed citations

5.

Llorà, Xavier & Josep M. Garrell. (2002). Coevolving Different Knowledge Representations With Fine-grained Parallel Learning Classifier Systems. Genetic and Evolutionary Computation Conference. 934–941. 10 indexed citations

6.

Regué, J. R., et al.. (2002). A genetic algorithm based method for predicting far-field radiated emissions from near-field measurements. 1. 147–151. 12 indexed citations

7.

Ribó, Miquel, et al.. (2002). Radiated emissions conversion from anechoic environment to OATS using a hybrid genetic algorithm-gradient method. 325–329. 3 indexed citations

8.

Llorà, Xavier & Josep M. Garrell. (2001). Knowledge-independent data mining with fine-grained parallel evolutionary algorithms. Genetic and Evolutionary Computation Conference. 461–468. 39 indexed citations

9.

Llorà, Xavier & Josep M. Garrell. (2001). Evolution of Decision Trees. Exposure and Health. 1–17. 22 indexed citations

10.

Regué, J. R., Miquel Ribó, Josep M. Garrell, & A. Martín. (2001). A genetic algorithm based method for source identification and far-field radiated emissions prediction from near-field measurements for PCB characterization. IEEE Transactions on Electromagnetic Compatibility. 43(4). 520–530. 143 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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