Pedro Miranda
- Management Science and Operations Research top 2%
- Statistics and Probability top 2%
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Control and Systems Engineering
- Co-authors
- Elías F. CombarroMichel GrabischPedro GilIrene Dı́azLeandro PardoÁngel FelipeNirian MartínCarlo Bertoluzza
- Topics
- Multi-Criteria Decision Making (18 papers)Fuzzy Systems and Optimization (14 papers)Advanced Algebra and Logic (8 papers)
- Cited by
- Management Science and Operations ResearchStatistics and ProbabilityComputational Theory and Mathematics
- Journals
- European Journal of Operational ResearchInformation SciencesIEEE Transactions on Fuzzy Systems
- Partner nations
- SpainUnited StatesFrance
In The Last Decade
Pedro Miranda
31 papers receiving 324 citations
Peers
Comparison fields: 5 of 58
- Management Science and Operations Research 246
- Statistics and Probability 151
- Artificial Intelligence 92
- Computational Theory and Mathematics 85
- Control and Systems Engineering 51
Countries citing papers authored by Pedro Miranda
This map shows the geographic impact of Pedro Miranda'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 Pedro Miranda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedro Miranda more than expected).
Fields of papers citing papers by Pedro Miranda
This network shows the impact of papers produced by Pedro Miranda. 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 Pedro Miranda. The network helps show where Pedro Miranda may publish in the future.
Co-authorship network of co-authors of Pedro Miranda
This figure shows the co-authorship network connecting the top 25 collaborators of Pedro Miranda. A scholar is included among the top collaborators of Pedro Miranda 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 Pedro Miranda. Pedro Miranda 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 | 2 | |
| 4 | 3 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 19 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | On the Structure of the k-Additive Fuzzy Measures. | 1 |
| 13 | 8 | |
| 14 | 11 | |
| 15 | 10 | |
| 16 | 43 | |
| 17 | 19 | |
| 18 | On some results of the set of dominating $k$-additive belief functions | 2 |
| 19 | 1 | |
| 20 | 36 |
About Pedro Miranda
Pedro Miranda is a scholar working on Statistics and Probability, Management Science and Operations Research and Computational Theory and Mathematics, having authored 35 papers that have together received 331 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (18 papers), Fuzzy Systems and Optimization (14 papers) and Advanced Algebra and Logic (8 papers). The work is most often cited by research in Management Science and Operations Research (246 citations), Statistics and Probability (151 citations) and Computational Theory and Mathematics (85 citations). Pedro Miranda has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Elías F. Combarro, Michel Grabisch, Pedro Gil, Irene Dı́az, Michel Grabisch, Leandro Pardo, Ángel Felipe, Nirian Martín and Carlo Bertoluzza. Their work appears in journals such as European Journal of Operational Research, Information Sciences 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.