Jorge Navarro
- Management Science and Operations Research top 1%
- Computational Theory and Mathematics top 2%
- Artificial Intelligence top 5%
- Control and Systems Engineering top 10%
- Statistics and Probability top 5%
- Co-authors
- Eduardo FernándezJosé Rui FigueiraCarlos A. Coello CoelloBernard RoyFernando LópezIgor LitvinchevLaura Cruz–ReyesPatricia Sánchez
- Topics
- Multi-Criteria Decision Making (22 papers)Rough Sets and Fuzzy Logic (19 papers)Advanced Multi-Objective Optimization Algorithms (6 papers)
- Cited by
- Management Science and Operations ResearchComputational Theory and MathematicsStatistics and Probability
- Partner nations
- MexicoPortugalUnited States
In The Last Decade
Jorge Navarro
34 papers receiving 544 citations
Peers
Comparison fields: 5 of 66
- Management Science and Operations Research 396
- Computational Theory and Mathematics 287
- Artificial Intelligence 208
- Control and Systems Engineering 78
- Statistics and Probability 61
Countries citing papers authored by Jorge Navarro
This map shows the geographic impact of Jorge Navarro'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 Jorge Navarro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jorge Navarro more than expected).
Fields of papers citing papers by Jorge Navarro
This network shows the impact of papers produced by Jorge Navarro. 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 Jorge Navarro. The network helps show where Jorge Navarro may publish in the future.
Co-authorship network of co-authors of Jorge Navarro
This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Navarro. A scholar is included among the top collaborators of Jorge Navarro 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 Jorge Navarro. Jorge Navarro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 8 | |
| 6 | 16 | |
| 7 | 24 | |
| 8 | 21 | |
| 9 | 75 | |
| 10 | 12 | |
| 11 | 5 | |
| 12 | 5 | |
| 13 | 0 | |
| 14 | 18 | |
| 15 | 40 | |
| 16 | 9 | |
| 17 | 11 | |
| 18 | 28 | |
| 19 | 5 | |
| 20 | Computer-based decision models for R&D project selection in public organizations | 6 |
About Jorge Navarro
Jorge Navarro is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Statistics and Probability, having authored 35 papers that have together received 560 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (22 papers), Rough Sets and Fuzzy Logic (19 papers) and Advanced Multi-Objective Optimization Algorithms (6 papers). The work is most often cited by research in Management Science and Operations Research (396 citations), Computational Theory and Mathematics (287 citations) and Statistics and Probability (61 citations). Jorge Navarro has collaborated with scholars based in Mexico, Portugal and United States. Frequent co-authors include Eduardo Fernández, José Rui Figueira, Carlos A. Coello Coello, Bernard Roy, Eduardo Fernández, Fernando López, Igor Litvinchev, Laura Cruz–Reyes and Patricia Sánchez. Their work appears in journals such as European Journal of Operational Research, IEEE Access and Applied Soft Computing.
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.