E. Golobardes

1.8k total citations
10 papers, 53 citations indexed

About

E. Golobardes is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Condensed Matter Physics. According to data from OpenAlex, E. Golobardes has authored 10 papers receiving a total of 53 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Computational Theory and Mathematics and 2 papers in Condensed Matter Physics. Recurrent topics in E. Golobardes's work include Evolutionary Algorithms and Applications (3 papers), AI-based Problem Solving and Planning (3 papers) and Particle physics theoretical and experimental studies (2 papers). E. Golobardes is often cited by papers focused on Evolutionary Algorithms and Applications (3 papers), AI-based Problem Solving and Planning (3 papers) and Particle physics theoretical and experimental studies (2 papers). E. Golobardes collaborates with scholars based in Spain and United States. E. Golobardes's co-authors include Ester Bernadó-Mansilla, Albert Fornells, X. Vilasís-Cardona, M. Calvo Gomez, N. Valls Canudas, Albert Orriols-Puig, Xavier Vilasís Cardona and Á. García-Piquer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Sciences and The European Physical Journal C.

In The Last Decade

E. Golobardes

10 papers receiving 50 citations

Peers

E. Golobardes
Pavel Klinov United Kingdom
Andrew Cropper United Kingdom
Fides Aarts Netherlands
Feng-Hao Liu United States
E. Golobardes
Citations per year, relative to E. Golobardes E. Golobardes (= 1×) peers Orgad Keller

Countries citing papers authored by E. Golobardes

Since Specialization
Citations

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

Fields of papers citing papers by E. Golobardes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Golobardes

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

All Works

10 of 10 papers shown
1.
Canudas, N. Valls, M. Calvo Gomez, X. Vilasís-Cardona, & E. Golobardes. (2023). Graph Clustering: a graph-based clustering algorithm for the electromagnetic calorimeter in LHCb. The European Physical Journal C. 83(2). 1 indexed citations
2.
Canudas, N. Valls, Xavier Vilasís Cardona, M. Calvo Gomez, & E. Golobardes. (2021). Deep Learning approach to LHCb Calorimeter reconstruction using a Cellular Automaton. SHILAP Revista de lepidopterología. 251. 4008–4008. 1 indexed citations
3.
Golobardes, E., et al.. (2021). CAIT: A Predictive Tool for Supporting the Book Market Operation Using Social Networks. Applied Sciences. 12(1). 366–366. 4 indexed citations
4.
Canudas, N. Valls, M. Calvo Gomez, E. Golobardes, & X. Vilasís-Cardona. (2021). Use of Deep Learning to Improve the Computational Complexity of Reconstruction Algorithms in High Energy Physics. Applied Sciences. 11(23). 11467–11467. 4 indexed citations
5.
Golobardes, E., et al.. (2020). Formulation of the Social Workers’ Problem in Quadratic Unconstrained Binary Optimization Form and Solve It on a Quantum Computer. Journal of Computer and Communications. 8(11). 44–68. 6 indexed citations
6.
García-Piquer, Á., et al.. (2011). Data classification through an evolutionary approach based on multiple criteria. Knowledge and Information Systems. 33(1). 35–56. 10 indexed citations
7.
Golobardes, E., et al.. (2010). Validación de Competencias en Titulaciones Universitarias Usando Minería de Datos. IEEE Revista Iberoamericana de Tecnologias del Aprendizaje. 5(1). 23–29. 1 indexed citations
8.
Fornells, Albert, et al.. (2005). Comparison of Strategies Based on Evolutionary Computation for the Design of Similarity Functions. 231–238. 2 indexed citations
9.
Golobardes, E., et al.. (1999). Automatic diagnosis with genetic algorithms and case-based reasoning. Artificial Intelligence in Engineering. 13(4). 367–372. 23 indexed citations
10.
Golobardes, E.. (1998). Aportacions al raonament basat en casos per resoldre problemes de classificacio. Dialnet (Universidad de la Rioja). 1 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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