Ester Bernadó-Mansilla

1.9k total citations
39 papers, 1.1k citations indexed

About

Ester Bernadó-Mansilla is a scholar working on Artificial Intelligence, Molecular Biology and Management of Technology and Innovation. According to data from OpenAlex, Ester Bernadó-Mansilla has authored 39 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, 7 papers in Molecular Biology and 5 papers in Management of Technology and Innovation. Recurrent topics in Ester Bernadó-Mansilla's work include Evolutionary Algorithms and Applications (30 papers), Metaheuristic Optimization Algorithms Research (25 papers) and Machine Learning and Data Classification (7 papers). Ester Bernadó-Mansilla is often cited by papers focused on Evolutionary Algorithms and Applications (30 papers), Metaheuristic Optimization Algorithms Research (25 papers) and Machine Learning and Data Classification (7 papers). Ester Bernadó-Mansilla collaborates with scholars based in Spain, United States and Italy. Ester Bernadó-Mansilla's co-authors include Albert Orriols-Puig, Núria Macià, Jorge Casillas, Francisco Herrera, Salvador García, Alberto Fernández, Julián Luengo, Tin Kam Ho, David E. Goldberg and Kumara Sastry and has published in prestigious journals such as Pattern Recognition, Information Sciences and IEEE Transactions on Evolutionary Computation.

In The Last Decade

Ester Bernadó-Mansilla

37 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ester Bernadó-Mansilla Spain 15 951 206 123 75 72 39 1.1k
Albert Orriols-Puig Spain 15 688 0.7× 101 0.5× 85 0.7× 126 1.7× 73 1.0× 33 874
Marcílio C. P. de Souto Brazil 15 521 0.5× 149 0.7× 86 0.7× 130 1.7× 42 0.6× 56 718
Rukshan Batuwita United Kingdom 5 403 0.4× 180 0.9× 43 0.3× 133 1.8× 115 1.6× 7 676
Quinlan United States 3 412 0.4× 69 0.3× 240 2.0× 67 0.9× 31 0.4× 6 647
Guangtao Wang China 20 651 0.7× 110 0.5× 157 1.3× 211 2.8× 19 0.3× 39 875
Márcio P. Basgalupp Brazil 14 452 0.5× 79 0.4× 213 1.7× 46 0.6× 24 0.3× 45 696
Erik Hemberg United States 14 454 0.5× 62 0.3× 107 0.9× 57 0.8× 25 0.3× 84 747
Prabhas Chongstitvatana Thailand 12 358 0.4× 64 0.3× 97 0.8× 68 0.9× 59 0.8× 103 707
Pedro G. Espejo Spain 3 507 0.5× 59 0.3× 219 1.8× 35 0.5× 17 0.2× 6 855
Lawrence Shih United States 5 490 0.5× 69 0.3× 269 2.2× 79 1.1× 19 0.3× 7 723

Countries citing papers authored by Ester Bernadó-Mansilla

Since Specialization
Citations

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

Fields of papers citing papers by Ester Bernadó-Mansilla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ester Bernadó-Mansilla. 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 Ester Bernadó-Mansilla. The network helps show where Ester Bernadó-Mansilla may publish in the future.

Co-authorship network of co-authors of Ester Bernadó-Mansilla

This figure shows the co-authorship network connecting the top 25 collaborators of Ester Bernadó-Mansilla. A scholar is included among the top collaborators of Ester Bernadó-Mansilla 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 Ester Bernadó-Mansilla. Ester Bernadó-Mansilla 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.
Bernadó-Mansilla, Ester, et al.. (2025). Entrepreneurial Capital Creation in Higher Education Institutions: the Case of the Start for Future Program. 11(3). 379–411. 2 indexed citations
2.
Henry, Colette, Ester Bernadó-Mansilla, Slavica Singer, et al.. (2025). Creating Novel, Responsible, and Impactful Entrepreneurship Education Models. 11(3). 412–442. 1 indexed citations
3.
Bernadó-Mansilla, Ester, et al.. (2024). Revisiting EntreComp through a systematic literature review of entrepreneurial competences. Implications for entrepreneurship education and future research. The International Journal of Management Education. 22(3). 101010–101010. 8 indexed citations
4.
Bernadó-Mansilla, Ester, et al.. (2022). Online Support for Education in Entrepreneurial and Intrapreneurial Competences: A Proposal for an Assessment Tool and Support for Tailor-Made Training. Education Sciences. 12(11). 805–805. 3 indexed citations
5.
Schiaffonati, Viola, et al.. (2020). Beyond Creativity: Reflection and Practice of Imagination with Students of Technical Universities. HAL (Le Centre pour la Communication Scientifique Directe). 2. 1225–1229. 2 indexed citations
6.
Macià, Núria & Ester Bernadó-Mansilla. (2013). Towards UCI+: A mindful repository design. Information Sciences. 261. 237–262. 51 indexed citations
7.
Macià, Núria, Ester Bernadó-Mansilla, Albert Orriols-Puig, & Tin Kam Ho. (2012). Learner excellence biased by data set selection: A case for data characterisation and artificial data sets. Pattern Recognition. 46(3). 1054–1066. 29 indexed citations
8.
Macià, Núria, Albert Orriols-Puig, & Ester Bernadó-Mansilla. (2009). EMO shines a light on the holes of complexity space. 1907–1908. 1 indexed citations
9.
Orriols-Puig, Albert, Ester Bernadó-Mansilla, David E. Goldberg, Kumara Sastry, & Pier Luca Lanzi. (2009). Facetwise Analysis of XCS for Problems With Class Imbalances. IEEE Transactions on Evolutionary Computation. 13(5). 1093–1119. 42 indexed citations
10.
Bacardit, Jaume, Ester Bernadó-Mansilla, Martin V. Butz, et al.. (2008). Learning Classifier Systems: 10th International Workshop, IWLCS 2006, Seattle, MA, USA, July 8, 2006 and 11th International Workshop, IWLCS 2007, London, UK, July 8, 2007, Revised Selected Papers. Springer eBooks. 6 indexed citations
11.
Casillas, Jorge, Albert Orriols-Puig, & Ester Bernadó-Mansilla. (2008). Toward evolving consistent, complete, and compact fuzzy rule sets for classification problems. 29. 89–94. 7 indexed citations
12.
Orriols-Puig, Albert, Jorge Casillas, & Ester Bernadó-Mansilla. (2008). Genetic-based machine learning systems are competitive for pattern recognition. Evolutionary Intelligence. 1(3). 209–232. 44 indexed citations
13.
Bernadó-Mansilla, Ester, et al.. (2007). Modeling Problem Transformations based on Data Complexity. 133–140. 1 indexed citations
14.
Orriols-Puig, Albert, Jorge Casillas, & Ester Bernadó-Mansilla. (2007). Fuzzy-UCS. 2871–2874. 8 indexed citations
15.
Orriols-Puig, Albert, Kumara Sastry, Pier Luca Lanzi, David E. Goldberg, & Ester Bernadó-Mansilla. (2007). Modeling selection pressure in XCS for proportionate and tournament selection. 1846–1853. 8 indexed citations
16.
Orriols-Puig, Albert, David E. Goldberg, Kumara Sastry, & Ester Bernadó-Mansilla. (2007). Modeling XCS in class imbalances. 1838–1845. 8 indexed citations
17.
Orriols-Puig, Albert & Ester Bernadó-Mansilla. (2006). Bounding XCS's parameters for unbalanced datasets. 1561–1568. 30 indexed citations
18.
Alsina‐Pagès, Rosa Ma, et al.. (2005). Evolution Strategies for DS-CDMA Pseudonoise Sequence Design. 189–196.
19.
Bernadó-Mansilla, Ester, et al.. (2005). Domain of Competence of XCS Classifier System in Complexity Measurement Space. IEEE Transactions on Evolutionary Computation. 9(1). 82–104. 74 indexed citations
20.
Bernadó-Mansilla, Ester, et al.. (2000). MOLeCS: a multiobjective learning classifier system. Genetic and Evolutionary Computation Conference. 390–390. 2 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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