Javier Montero

5.8k total citations · 1 hit paper
174 papers, 3.6k citations indexed

About

Javier Montero is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Javier Montero has authored 174 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Management Science and Operations Research, 79 papers in Computational Theory and Mathematics and 61 papers in Artificial Intelligence. Recurrent topics in Javier Montero's work include Multi-Criteria Decision Making (87 papers), Rough Sets and Fuzzy Logic (49 papers) and Advanced Algebra and Logic (34 papers). Javier Montero is often cited by papers focused on Multi-Criteria Decision Making (87 papers), Rough Sets and Fuzzy Logic (49 papers) and Advanced Algebra and Logic (34 papers). Javier Montero collaborates with scholars based in Spain, Italy and United States. Javier Montero's co-authors include Humberto Bustince, Daniel Gómez, Vincenzo Cutello, J. Tinguaro Rodríguez, Francisco Herrera, Javier Fernández, Radko Mesiar, Javier Yáñez, Edurne Barrenechea and Begoña Vitoriano and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, European Journal of Operational Research and Information Sciences.

In The Last Decade

Javier Montero

166 papers receiving 3.5k 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.

A Historical Account of Types of Fuzzy Sets and Their Relationships

2015 363 citations Humberto Bustince, Edurne Barrenechea et al. profile →

Peers

Javier Montero

MSOR

CTM

AI

SP

CSE

İ.B. Türkşen Canada

Junzo Watada Japan

Wen Jiang China

Shu‐Cherng Fang United States

M.A. Vila Spain

Gleb Beliakov Australia

Marc Roubens Belgium

Javier Fernández Spain

Didier Dubois France

Hans-Jürgen Zimmermann Germany

İ.B. Türkşen Canada

Javier Montero

2.6k ×1.3

MSOR

1.1k ×0.9

CTM

3.3k ×2.8

AI

1.4k ×1.9

SP

1.0k ×2.5

CSE

Citations per year, relative to Javier Montero Javier Montero (= 1×) peers İ.B. Türkşen

Countries citing papers authored by Javier Montero

Since Specialization

Citations

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

Fields of papers citing papers by Javier Montero

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Montero

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Magdalena, Luis, et al.. (2021). Analysing monotonicity in non-deterministic computable aggregations: The probabilistic case. Information Sciences. 583. 288–305. 4 indexed citations

2.

López-Molina, Carlos, Javier Montero, Humberto Bustince, & Bernard De Baets. (2018). Self-adapting weighted operators for multiscale gradient fusion. Information Fusion. 44. 136–146. 14 indexed citations

3.

Gutiérrez‐Solana, F., Iñaki Peña Legazkue, Maribel Guerrero, et al.. (2018). Global Entrepreneurship Monitor. Informe GEM España 2017-2018. 1 indexed citations

4.

Candeal, Juan C., Raquel G. Catalán, Alfio Giarlotta, et al.. (2018). An axiomatic approach to finite means. Information Sciences. 457-458. 12–28. 4 indexed citations

5.

Franco, Camilo, J. Tinguaro Rodríguez, & Javier Montero. (2017). Learning preferences from paired opposite-based semantics. International Journal of Approximate Reasoning. 86. 80–91. 1 indexed citations

6.

Gómez, Daniel, J. Tinguaro Rodríguez, Javier Yáñez, & Javier Montero. (2016). A new modularity measure for Fuzzy Community detection problems based on overlap and grouping functions. International Journal of Approximate Reasoning. 74. 88–107. 77 indexed citations

7.

Hernández‐Cruz, Daniel, et al.. (2015). Presencia de Apalone ferox en el Parque Natural de las Lagunas de Ruidera (Ciudad Real). Library Open Repository (Universidad Complutense Madrid). 26(1). 89–91. 1 indexed citations

8.

Ruan, Da, et al.. (2013). Decision Aid Models for Disaster Management and Emergencies. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 64 indexed citations

9.

Shin, Joo Heon, David L. Smith, Waldemar Swiercz, et al.. (2010). Recognition of Partially Occluded and Rotated Images With a Network of Spiking Neurons. IEEE Transactions on Neural Networks. 21(11). 1697–1709. 27 indexed citations

10.

Bustince, Humberto, Javier Fernández, Radko Mesiar, Javier Montero, & Raúl Orduna-Urrutia. (2009). Overlap index, overlap functions and migrativity. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 300–305. 49 indexed citations

11.

Ruan, Da, et al.. (2008). Computational Intelligence in Decision and Control: Proceedings of the 8th International FLINS Conference, Madrid, Spain, 21-24 September 2008. 1 indexed citations

12.

Montero, Javier. (2008). Soft sciences versus crisp sciences: A look into the future of science. 1384–1387.

13.

Bustince, Humberto, Francisco Herrera, & Javier Montero. (2007). Fuzzy Sets and Their Extensions: Representation, Aggregation and Models Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision. Springer eBooks. 54 indexed citations

14.

Bustince, Humberto, Javier Montero, Edurne Barrenechea, & Miguel Pagola. (2007). Semiautoduality in a restricted family of aggregation operators. Fuzzy Sets and Systems. 158(12). 1360–1377. 33 indexed citations

15.

Gómez, Daniel, Javier Montero, & Javier Yáñez. (2005). A dimension-based representation in multicriteria decision making. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 910–915. 1 indexed citations

16.

Gómez, Daniel & Javier Montero. (2004). A discussion on aggregation operators.. Kybernetika. 40(1). 107–120. 47 indexed citations

17.

Montero, Javier & Daniel Gómez. (2003). Preferences, classification and intuitionistic fuzzy sets.. Library Open Repository (Universidad Complutense Madrid). 187–192. 3 indexed citations

18.

Cutello, Vincenzo & Javier Montero. (1994). Reliability structure functions based upon fuzzy numbers. 2046–2050 vol.3. 1 indexed citations

19.

Cutello, Vincenzo & Javier Montero. (1994). Recursive families of OWA operators. 1137–1141 vol.2. 22 indexed citations

20.

Cutello, Vincenzo & Javier Montero. (1993). A characterization of rational amalgamation operations. International Journal of Approximate Reasoning. 8(4). 325–344. 13 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