Miguel López-Dı́az
- Statistics and Probability top 0.5%
- Management Science and Operations Research top 1%
- Artificial Intelligence top 5%
- Control and Systems Engineering top 10%
- Applied Mathematics top 5%
- Co-authors
- Marı́a Ángeles GilDan A. RalescuAna ColubiOlgierd HryniewiczJonathan LawryPrzemysław GrzegorzewskiLuis J. Rodrı́guez-MuñizMarı́a Asunción Lubiano
- Topics
- Fuzzy Systems and Optimization (27 papers)Multi-Criteria Decision Making (21 papers)Advanced Statistical Methods and Models (8 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchStatistics, Probability and Uncertainty
- Partner nations
- SpainUnited StatesPoland
In The Last Decade
Miguel López-Dı́az
48 papers receiving 665 citations
Peers
Comparison fields: 5 of 60
- Statistics and Probability 575
- Management Science and Operations Research 483
- Artificial Intelligence 249
- Control and Systems Engineering 141
- Applied Mathematics 64
Countries citing papers authored by Miguel López-Dı́az
This map shows the geographic impact of Miguel López-Dı́az'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 Miguel López-Dı́az with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel López-Dı́az more than expected).
Fields of papers citing papers by Miguel López-Dı́az
This network shows the impact of papers produced by Miguel López-Dı́az. 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 Miguel López-Dı́az. The network helps show where Miguel López-Dı́az may publish in the future.
Co-authorship network of co-authors of Miguel López-Dı́az
This figure shows the co-authorship network connecting the top 25 collaborators of Miguel López-Dı́az. A scholar is included among the top collaborators of Miguel López-Dı́az 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 Miguel López-Dı́az. Miguel López-Dı́az 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 6 | |
| 14 | Soft Methodology and Random Information Systems (Advances in Soft Computing) | 10 |
| 15 | 1 | |
| 16 | 66 | |
| 17 | 4 | |
| 18 | 3 | |
| 19 | On the Rao-Blackwell Theorem for fuzzy random variables | 6 |
| 20 | 27 |
About Miguel López-Dı́az
Miguel López-Dı́az is a scholar working on Statistics and Probability, Management Science and Operations Research and Applied Mathematics, having authored 52 papers that have together received 695 indexed citations. Recurring topics across this work include Fuzzy Systems and Optimization (27 papers), Multi-Criteria Decision Making (21 papers) and Advanced Statistical Methods and Models (8 papers). The work is most often cited by research in Statistics and Probability (575 citations), Management Science and Operations Research (483 citations) and Statistics, Probability and Uncertainty (61 citations). Miguel López-Dı́az has collaborated with scholars based in Spain, United States and Poland. Frequent co-authors include Marı́a Ángeles Gil, Dan A. Ralescu, Ana Colubi, Olgierd Hryniewicz, Jonathan Lawry, Przemysław Grzegorzewski, Luis J. Rodrı́guez-Muñiz, Marı́a Asunción Lubiano, Marı́a Teresa López and Carlos Carleos. Their work appears in journals such as European Journal of Operational Research, Information Sciences 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.