Beatriz Sinova

630 citations
27 papers · 363 · h-index 11

Impact in

Papers in

Beatriz Sinova

26 papers receiving 355 citations

Peers

Beatriz Sinova
Comparison fields: 5 of 63
  • Statistics and Probability 285
  • Management Science and Operations Research 256
  • Artificial Intelligence 138
  • Statistics, Probability and Uncertainty 13
  • Control and Systems Engineering 30
Replace Manuel Montenegro with:
Manuel Montenegro Spain
Takashi Seo Japan
Simon Miller United Kingdom
Len Swanson United States
Eduardo Nunes Borges Brazil
M. Haseeb Rizvi United States
Ellen Boekkooi-Timminga Netherlands
Tetsuya Murai Japan
Monique Noirhomme­-Fraiture Belgium
Bryant Chen United States
Beatriz Sinova relative to Manuel Montenegro Spain Manuel Montenegro's profile →
Citations per field
00.5×1.5×
Manuel Montenegro · 1×
Citations per year

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-authors

The 15 scholars most cited alongside Beatriz Sinova, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Beatriz Sinova Line = papers co-authored together Beatriz Sinova links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201355
2 201151
3 201629
4 201228
5 201524
6 201523
7 201321
8 201319
9 201416
10 201513
11 201813
12 20179
13 20148
14 20156
15 20205
16 20145
17 20205
18 20195
19 20145
20 20155

About Beatriz Sinova

Beatriz Sinova is a scholar working on Statistics and Probability, Management Science and Operations Research, Artificial Intelligence, Control and Systems Engineering and Information Systems, having authored 27 papers that have together received 363 indexed citations. Recurring topics across this work include Fuzzy Systems and Optimization (26 papers), Multi-Criteria Decision Making (23 papers), Fuzzy Logic and Control Systems (10 papers), Advanced Statistical Methods and Models (9 papers), Statistical Methods and Inference (2 papers), Optimization and Mathematical Programming (2 papers), Risk and Portfolio Optimization (1 paper) and Rough Sets and Fuzzy Logic (1 paper). The work is most often cited by research in Statistics and Probability (285 citations), Management Science and Operations Research (256 citations), Artificial Intelligence (138 citations), Statistics, Probability and Uncertainty (13 citations) and Control and Systems Engineering (30 citations). Beatriz Sinova has collaborated with scholars based in Spain, Belgium and Austria. Frequent co-authors include Marı́a Ángeles Gil, Stefan Van Aelst, Sara de la Rosa de Sáa, Marı́a Asunción Lubiano, Ana Colubi, Manuel Montenegro, Gil González‐Rodríguez, María Rosa Casals, Marı́a Teresa López and Norberto Corral. Their work appears in journals such as International Journal of Approximate Reasoning, Information Sciences, Fuzzy Sets and Systems, Advances in Data Analysis and Classification and IEEE Transactions on Fuzzy Systems.

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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