Beatriz Sinova

630 total citations
27 papers, 363 citations indexed

About

Beatriz Sinova is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Beatriz Sinova has authored 27 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Statistics and Probability, 23 papers in Management Science and Operations Research and 10 papers in Artificial Intelligence. Recurrent topics in Beatriz Sinova's work include Fuzzy Systems and Optimization (26 papers), Multi-Criteria Decision Making (23 papers) and Fuzzy Logic and Control Systems (10 papers). Beatriz Sinova is often cited by papers focused on Fuzzy Systems and Optimization (26 papers), Multi-Criteria Decision Making (23 papers) and Fuzzy Logic and Control Systems (10 papers). Beatriz Sinova collaborates with scholars based in Spain, Belgium and Austria. Beatriz Sinova's co-authors include Marı́a Ángeles Gil, Stefan Van Aelst, Sara de la Rosa de Sáa, Ana Colubi, Marı́a Asunción Lubiano, Gil González‐Rodríguez, Manuel Montenegro, María Rosa Casals, Marı́a Teresa López and Norberto Corral and has published in prestigious journals such as European Journal of Operational Research, Information Sciences and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Beatriz Sinova

26 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Beatriz Sinova Spain 11 285 256 138 30 13 27 363
Manuel Montenegro Spain 13 489 1.7× 430 1.7× 326 2.4× 79 2.6× 22 1.7× 21 574
Takashi Seo Japan 12 362 1.3× 64 0.3× 112 0.8× 9 0.3× 30 2.3× 77 463
Simon Miller United Kingdom 9 90 0.3× 121 0.5× 156 1.1× 19 0.6× 7 0.5× 19 263
Len Swanson United States 7 37 0.1× 243 0.9× 62 0.4× 23 0.8× 16 1.2× 14 378
Eduardo Nunes Borges Brazil 9 58 0.2× 149 0.6× 93 0.7× 19 0.6× 3 0.2× 52 272
M. Haseeb Rizvi United States 10 161 0.6× 64 0.3× 93 0.7× 8 0.3× 61 4.7× 27 315
Ellen Boekkooi-Timminga Netherlands 8 22 0.1× 124 0.5× 67 0.5× 26 0.9× 12 0.9× 15 324
Tetsuya Murai Japan 10 16 0.1× 73 0.3× 121 0.9× 36 1.2× 1 0.1× 62 305
Monique Noirhomme­-Fraiture Belgium 5 26 0.1× 11 0.0× 52 0.4× 7 0.2× 4 0.3× 21 130
Bryant Chen United States 8 23 0.1× 17 0.1× 125 0.9× 9 0.3× 1 0.1× 17 197

Countries citing papers authored by Beatriz Sinova

Since Specialization
Citations

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

Fields of papers citing papers by Beatriz Sinova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beatriz Sinova

This figure shows the co-authorship network connecting the top 25 collaborators of Beatriz Sinova. A scholar is included among the top collaborators of Beatriz Sinova 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 Beatriz Sinova. Beatriz Sinova 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.
Sinova, Beatriz, et al.. (2025). Strong consistency and robustness of fuzzy medoids. International Journal of Approximate Reasoning. 182. 109425–109425.
2.
Sinova, Beatriz. (2021). On depth-based fuzzy trimmed means and a notion of depth specifically defined for fuzzy numbers. Fuzzy Sets and Systems. 443. 87–105. 2 indexed citations
3.
Sáa, Sara de la Rosa de, Marı́a Asunción Lubiano, Beatriz Sinova, Marı́a Ángeles Gil, & Peter Filzmoser. (2020). Location-Free Robust Scale Estimates for Fuzzy Data. IEEE Transactions on Fuzzy Systems. 29(6). 1682–1694. 5 indexed citations
4.
Sinova, Beatriz, Stefan Van Aelst, & Pedro Terán. (2020). M-estimators and trimmed means: from Hilbert-valued to fuzzy set-valued data. Advances in Data Analysis and Classification. 15(2). 267–288. 5 indexed citations
5.
Sinova, Beatriz & Stefan Van Aelst. (2019). Empirical analysis of the maximum asymptotic bias of location estimators for fuzzy number-valued data. International Journal of Approximate Reasoning. 113. 1–13. 5 indexed citations
6.
Sinova, Beatriz & Stefan Van Aelst. (2018). A spatial-type interval-valued median for random intervals. Statistics. 52(3). 479–502. 4 indexed citations
7.
Sinova, Beatriz, Gil González‐Rodríguez, & Stefan Van Aelst. (2018). M-estimators of location for functional data. Bernoulli. 24(3). 13 indexed citations
8.
Sinova, Beatriz & Stefan Van Aelst. (2017). Advantages of M-estimators of location for fuzzy numbers based on Tukey's biweight loss function. International Journal of Approximate Reasoning. 93. 219–237. 9 indexed citations
9.
Lubiano, Marı́a Asunción, Sara de la Rosa de Sáa, Manuel Montenegro, Beatriz Sinova, & Marı́a Ángeles Gil. (2016). Descriptive analysis of responses to items in questionnaires. Why not using a fuzzy rating scale?. Information Sciences. 360. 131–148. 29 indexed citations
10.
Sinova, Beatriz. (2016). M-estimators of location for interval-valued random elements. Chemometrics and Intelligent Laboratory Systems. 156. 115–127. 3 indexed citations
11.
Sinova, Beatriz, Marı́a Ángeles Gil, & Stefan Van Aelst. (2015). M-Estimates of Location for the Robust Central Tendency of Fuzzy Data. IEEE Transactions on Fuzzy Systems. 24(4). 945–956. 13 indexed citations
12.
Lubiano, Marı́a Asunción, Manuel Montenegro, Beatriz Sinova, Sara de la Rosa de Sáa, & Marı́a Ángeles Gil. (2015). Hypothesis testing for means in connection with fuzzy rating scale-based data: algorithms and applications. European Journal of Operational Research. 251(3). 918–929. 24 indexed citations
13.
Sinova, Beatriz, Sara de la Rosa de Sáa, Marı́a Asunción Lubiano, & Marı́a Ángeles Gil. (2015). An Overview on the Statistical Central Tendency for Fuzzy Data Sets. International Journal of Uncertainty Fuzziness and Knowledge-Based Systems. 23(Suppl. 1). 105–132. 4 indexed citations
14.
Sinova, Beatriz, Marı́a Ángeles Gil, Marı́a Teresa López, & Stefan Van Aelst. (2014). A parameterized metric between fuzzy numbers and its parameter interpretation. Fuzzy Sets and Systems. 245. 101–115. 8 indexed citations
15.
Blanco, Ángela, María Rosa Casals, Ana Colubi, et al.. (2014). Rejoinder on “A distance-based statistical analysis of fuzzy number-valued data”. International Journal of Approximate Reasoning. 55(7). 1601–1605. 16 indexed citations
16.
Sinova, Beatriz, María Rosa Casals, Marı́a Ángeles Gil, & Marı́a Asunción Lubiano. (2014). The fuzzy characterizing function of the distribution of a random fuzzy number. Applied Mathematical Modelling. 39(14). 4044–4056. 5 indexed citations
17.
Sinova, Beatriz, et al.. (2014). The mean square error of a random fuzzy vector based on the support function and the Steiner point. Fuzzy Sets and Systems. 292. 347–363. 4 indexed citations
18.
Casals, María Rosa, Ana Colubi, Norberto Corral, et al.. (2013). RANDOM FUZZY SETS: A MATHEMATICAL TOOL TO DEVELOP STATISTICAL FUZZY DATA ANALYSIS. Iranian journal of fuzzy systems. 10(2). 1–28. 21 indexed citations
19.
Blanco, Ángela, María Rosa Casals, Ana Colubi, et al.. (2013). A distance-based statistical analysis of fuzzy number-valued data. International Journal of Approximate Reasoning. 55(7). 1487–1501. 55 indexed citations
20.
Sinova, Beatriz, Sara de la Rosa de Sáa, & Marı́a Ángeles Gil. (2013). A generalized L1-type metric between fuzzy numbers for an approach to central tendency of fuzzy data. Information Sciences. 242. 22–34. 19 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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