Eva Armengol

678 total citations
31 papers, 204 citations indexed

About

Eva Armengol is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Eva Armengol has authored 31 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 10 papers in Computational Theory and Mathematics and 4 papers in Computer Networks and Communications. Recurrent topics in Eva Armengol's work include Semantic Web and Ontologies (10 papers), AI-based Problem Solving and Planning (7 papers) and Rough Sets and Fuzzy Logic (6 papers). Eva Armengol is often cited by papers focused on Semantic Web and Ontologies (10 papers), AI-based Problem Solving and Planning (7 papers) and Rough Sets and Fuzzy Logic (6 papers). Eva Armengol collaborates with scholars based in Spain, Sri Lanka and Sweden. Eva Armengol's co-authors include Ramón López de Mántaras, Enric Plaza, Francesc Esteva, D. Boixader, E. Golobardes, Albert Fornells, Santiago Ontañón, Francisco Grimaldo, J. Recasens and Rosina O. Weber and has published in prestigious journals such as Physical Chemistry Chemical Physics, Fuzzy Sets and Systems and Neurocomputing.

In The Last Decade

Eva Armengol

26 papers receiving 181 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva Armengol Spain 8 141 63 44 27 19 31 204
Manuel S. Lazo-Cortés Mexico 9 144 1.0× 76 1.2× 62 1.4× 17 0.6× 7 0.4× 28 220
Jean Lieber France 9 213 1.5× 28 0.4× 56 1.3× 46 1.7× 41 2.2× 45 273
Sabine Kuske Germany 9 147 1.0× 47 0.7× 84 1.9× 20 0.7× 35 1.8× 23 227
Simone Tini Italy 10 162 1.1× 193 3.1× 18 0.4× 68 2.5× 45 2.4× 54 275
Khalid M. Salama United Kingdom 12 254 1.8× 43 0.7× 88 2.0× 15 0.6× 28 1.5× 29 330
Werner Emde Germany 6 147 1.0× 38 0.6× 78 1.8× 12 0.4× 27 1.4× 11 207
Stephen Kwek United States 9 177 1.3× 55 0.9× 30 0.7× 23 0.9× 22 1.2× 28 250
Peter Geibel Germany 8 119 0.8× 18 0.3× 33 0.8× 11 0.4× 16 0.8× 20 146
Feng Hu China 8 85 0.6× 46 0.7× 61 1.4× 10 0.4× 5 0.3× 40 190
Vo Thi Ngoc Chau Vietnam 10 191 1.4× 34 0.5× 46 1.0× 7 0.3× 22 1.2× 33 243

Countries citing papers authored by Eva Armengol

Since Specialization
Citations

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

Fields of papers citing papers by Eva Armengol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Armengol

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Armengol. A scholar is included among the top collaborators of Eva Armengol 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 Eva Armengol. Eva Armengol 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.
Armengol, Eva, et al.. (2024). Electron–vibrational renormalization in fullerenes through ab initio and machine learning methods. Physical Chemistry Chemical Physics. 26(30). 20310–20324.
2.
Armengol, Eva, et al.. (2021). Discovering abstentionist profiles in 2015 Catalan elections. Journal of Ambient Intelligence and Humanized Computing. 14(12). 15861–15874. 1 indexed citations
3.
Armengol, Eva. (2019). Constructing a classifier with patterns. Journal of Ambient Intelligence and Humanized Computing. 14(11). 15049–15057. 1 indexed citations
4.
Armengol, Eva, et al.. (2015). A Logical Study of Local and Global Graded Similarities. Applied Artificial Intelligence. 29(5). 424–444. 1 indexed citations
5.
Armengol, Eva, et al.. (2015). On similarity in fuzzy description logics. Fuzzy Sets and Systems. 292. 49–74. 2 indexed citations
6.
Armengol, Eva, et al.. (2010). Fuzzy Description Logics and t-norm based fuzzy logics. International Journal of Approximate Reasoning. 51(6). 632–655. 31 indexed citations
7.
Armengol, Eva. (2010). Classification of melanomas in situ using knowledge discovery with explained case-based reasoning. Artificial Intelligence in Medicine. 51(2). 93–105. 11 indexed citations
8.
Fornells, Albert, et al.. (2008). Experiences Using Clustering and Gernalization for Knowledge Discovery in Melanomas Domain.. 1(2). 49–65. 1 indexed citations
9.
Armengol, Eva. (2008). How to use Explanations for Knowledge Discovery.. 119–130.
10.
Armengol, Eva. (2008). Using explanations for determining carcinogenecity in chemical compounds. Engineering Applications of Artificial Intelligence. 22(1). 10–17. 1 indexed citations
11.
Armengol, Eva, et al.. (2007). Usages of Generalization in CBR. 2 indexed citations
12.
Armengol, Eva, et al.. (2007). Discovering plausible explanations of carcinogenenecity in chemical compounds. 4571.
13.
Fornells, Albert, et al.. (2007). Explanation of a Clustered Case Memory Organization. 153–160. 2 indexed citations
14.
Armengol, Eva, et al.. (2007). Data security using unsupervised learning and explanations. 44.
15.
Puertas, Eloi & Eva Armengol. (2006). Learning from cooperation using justifications. 47–54.
16.
Armengol, Eva & Enric Plaza. (2005). Using symbolic descriptions to explain similarity on CBR. 239–246. 2 indexed citations
17.
Plaza, Enric, Eva Armengol, & Santiago Ontañón. (2005). The Explanatory Power of Symbolic Similarity in Case-Based Reasoning. Artificial Intelligence Review. 24(2). 145–161. 12 indexed citations
18.
Armengol, Eva & Enric Plaza. (2003). Relational Case-based Reasoning for Carcinogenic Activity Prediction. Artificial Intelligence Review. 20(1-2). 121–141. 11 indexed citations
19.
Mántaras, Ramón López de & Eva Armengol. (1998). Machine learning from examples: Inductive and Lazy methods. Data & Knowledge Engineering. 25(1-2). 99–123. 60 indexed citations
20.
Moreno, Antonio, Eva Armengol, Javier Alonso, et al.. (1994). Aprendizaje automático. QRU Quaderns de Recerca en Urbanisme. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Manuel S. Lazo-Cortés Breakdown of academic impact, for papers by Jean Lieber Breakdown of academic impact, for papers by Sabine Kuske Breakdown of academic impact, for papers by Simone Tini Breakdown of academic impact, for papers by Khalid M. Salama Breakdown of academic impact, for papers by Werner Emde Breakdown of academic impact, for papers by Stephen Kwek Breakdown of academic impact, for papers by Peter Geibel Breakdown of academic impact, for papers by Feng Hu Breakdown of academic impact, for papers by Vo Thi Ngoc Chau
Rankless by CCL
2026