This map shows the geographic impact of Olga Pons'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 Olga Pons with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olga Pons more than expected).
This network shows the impact of papers produced by Olga Pons. 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 Olga Pons. The network helps show where Olga Pons may publish in the future.
Co-authorship network of co-authors of Olga Pons
This figure shows the co-authorship network connecting the top 25 collaborators of Olga Pons.
A scholar is included among the top collaborators of Olga Pons 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 Olga Pons. Olga Pons is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bronselaer, Antoon, et al.. (2013). POSSIBILISTIC EVALUATION OF SETS. International Journal of Uncertainty Fuzziness and Knowledge-Based Systems. 21(3). 325–346.6 indexed citations
4.
Tré, Guy De, Antoon Bronselaer, Yi Qiang, et al.. (2012). Visualising and handling uncertain time intervals in a two-dimensional triangular space. Ghent University Academic Bibliography (Ghent University).1 indexed citations
5.
Bronselaer, Antoon, et al.. (2012). Possibilistic evaluation of fuzzy temporal intervals. Ghent University Academic Bibliography (Ghent University).2 indexed citations
6.
Pons, Olga, et al.. (2010). Construcción y validación de una escala de medición de igualdad de oportunidades de género. 555–564.1 indexed citations
7.
Marı́n, Nicolás, Carlos Molina, Olga Pons, & M.A. Vila. (2009). Semantically-driven flexible division in fuzzy object oriented models. European Society for Fuzzy Logic and Technology Conference. 1039–1044.2 indexed citations
8.
Marı́n, Nicolás, et al.. (2009). Fuzzy certainty on fuzzy values. Control and Cybernetics. 38(2). 311–339.3 indexed citations
Berzal, Fernando, Nicolás Marı́n, Olga Pons, & M.A. Vila. (2005). Development of applications with fuzzy objects in modern programming platforms: Research Articles. International Journal of Intelligent Systems. 20(11). 1117–1136.4 indexed citations
13.
Blanco, Ignacio J., Olga Pons, José-Marı́a Serrano, & M.A. Vila. (2003). Deduction in a GEFRED database using Datalog.. European Society for Fuzzy Logic and Technology Conference. 191. 550–553.1 indexed citations
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
16.
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
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
19.
Cubero, Juan-Carlos, Juan Miguel Medina, Olga Pons, & M.A. Vila. (1999). Transitive fuzzy dependencies (II). Fuzzy Sets and Systems. 106(3). 433–448.1 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.