Laura De Miguel
- Management Science and Operations Research top 2%
- Computational Theory and Mathematics top 5%
- Artificial Intelligence top 10%
- Statistics and Probability top 2%
- Control and Systems Engineering top 10%
- Co-authors
- Humberto BustinceRadko MesiarMikel Sesma‐SaraJavier MonteroDaniel GómezJ. Tinguaro RodríguezGraçaliz Pereira DimuroJavier Fernández
- Topics
- Multi-Criteria Decision Making (21 papers)Fuzzy Systems and Optimization (16 papers)Fuzzy Logic and Control Systems (8 papers)
In The Last Decade
Laura De Miguel
28 papers receiving 430 citations
Peers
Comparison fields: 5 of 61
- Management Science and Operations Research 315
- Computational Theory and Mathematics 172
- Artificial Intelligence 148
- Statistics and Probability 137
- Control and Systems Engineering 69
Countries citing papers authored by Laura De Miguel
This map shows the geographic impact of Laura De Miguel'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 Laura De Miguel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura De Miguel more than expected).
Fields of papers citing papers by Laura De Miguel
This network shows the impact of papers produced by Laura De Miguel. 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 Laura De Miguel. The network helps show where Laura De Miguel may publish in the future.
Co-authorship network of co-authors of Laura De Miguel
This figure shows the co-authorship network connecting the top 25 collaborators of Laura De Miguel. A scholar is included among the top collaborators of Laura De Miguel 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 Laura De Miguel. Laura De Miguel 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 | 3 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 21 | |
| 8 | 12 | |
| 9 | 2 | |
| 10 | 89 | |
| 11 | 2 | |
| 12 | 20 | |
| 13 | 49 | |
| 14 | 2 | |
| 15 | 18 | |
| 16 | 5 | |
| 17 | 37 | |
| 18 | 6 | |
| 19 | 50 | |
| 20 | 64 |
About Laura De Miguel
Laura De Miguel is a scholar working on Statistics and Probability, Management Science and Operations Research and Computational Theory and Mathematics, having authored 29 papers that have together received 436 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (21 papers), Fuzzy Systems and Optimization (16 papers) and Fuzzy Logic and Control Systems (8 papers). The work is most often cited by research in Management Science and Operations Research (315 citations), Statistics and Probability (137 citations) and Computational Theory and Mathematics (172 citations). Laura De Miguel has collaborated with scholars based in Spain, Slovakia and Brazil. Frequent co-authors include Humberto Bustince, Radko Mesiar, Mikel Sesma‐Sara, Javier Montero, Daniel Gómez, J. Tinguaro Rodríguez, Graçaliz Pereira Dimuro, Javier Fernández, José Sanz and Esteban Induráin. Their work appears in journals such as Information Sciences, IEEE Transactions on Fuzzy Systems and Fuzzy Sets and 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.