Manuel Úbeda-Flores
- Finance top 1%
- Statistics and Probability top 1%
- Management Science and Operations Research top 2%
- Numerical Analysis top 5%
- Artificial Intelligence top 10%
- Co-authors
- Roger B. NelsenJosé Antonio Rodrı́guez-LallenaJosé Juan Quesada-MolinaJuan Fernández SánchezFabrizio DuranteBernard De BaetsH. De MeyerJavad Behboodian
- Topics
- Financial Risk and Volatility Modeling (56 papers)Probability and Risk Models (25 papers)Stochastic processes and financial applications (23 papers)
- Journals
- SHILAP Revista de lepidopterologíaEuropean Journal of Operational ResearchInformation Sciences
- Partner nations
- SpainUnited StatesItaly
In The Last Decade
Manuel Úbeda-Flores
75 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 65
- Finance 747
- Statistics and Probability 456
- Management Science and Operations Research 374
- Numerical Analysis 131
- Artificial Intelligence 102
Countries citing papers authored by Manuel Úbeda-Flores
This map shows the geographic impact of Manuel Úbeda-Flores'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 Manuel Úbeda-Flores with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuel Úbeda-Flores more than expected).
Fields of papers citing papers by Manuel Úbeda-Flores
This network shows the impact of papers produced by Manuel Úbeda-Flores. 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 Manuel Úbeda-Flores. The network helps show where Manuel Úbeda-Flores may publish in the future.
Co-authorship network of co-authors of Manuel Úbeda-Flores
This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Úbeda-Flores. A scholar is included among the top collaborators of Manuel Úbeda-Flores 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 Manuel Úbeda-Flores. Manuel Úbeda-Flores is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 10 | |
| 9 | 3 | |
| 10 | 6 | |
| 11 | 7 | |
| 12 | On copulas that generalize semilinear copulas | 6 |
| 13 | 18 | |
| 14 | Constructing copulas by means of pairs of order statistics | 26 |
| 15 | QUASI-COPULAS WITH QUADRATIC SECTIONS IN ONE VARIABLE | 1 |
| 16 | A method for constructing multivariate copulas | 1 |
| 17 | A new family of trivariate proper quasi-copulas | 2 |
| 18 | 52 | |
| 19 | 19 | |
| 20 | 66 |
About Manuel Úbeda-Flores
Manuel Úbeda-Flores is a scholar working on Finance, Statistics and Probability and Management Science and Operations Research, having authored 77 papers that have together received 1.1k indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (56 papers), Probability and Risk Models (25 papers) and Stochastic processes and financial applications (23 papers). The work is most often cited by research in Finance (747 citations), Statistics and Probability (456 citations) and Management Science and Operations Research (374 citations). Manuel Úbeda-Flores has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Roger B. Nelsen, José Antonio Rodrı́guez-Lallena, José Juan Quesada-Molina, Juan Fernández Sánchez, Fabrizio Durante, Bernard De Baets, H. De Meyer, Javad Behboodian, Erich Peter Klement and Carlo Sempi. Their work appears in journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Information Sciences.
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.