Diego García‐Zamora
- Management Science and Operations Research top 2%
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 10%
- Statistical and Nonlinear Physics top 10%
- Statistics and Probability top 10%
- Co-authors
- Luis Martı́nezÁlvaro LabellaRosa M. RodríguezBapi DuttaWeiping DingYing‐Ming WangShi-Fan HeXiaohong Pan
- Topics
- Multi-Criteria Decision Making (22 papers)Fuzzy Systems and Optimization (7 papers)Optimization and Mathematical Programming (7 papers)
- Cited by
- Management Science and Operations ResearchArtificial IntelligenceStatistics and Probability
In The Last Decade
Diego García‐Zamora
27 papers receiving 335 citations
Peers
Comparison fields: 5 of 52
- Management Science and Operations Research 218
- Artificial Intelligence 144
- Computational Theory and Mathematics 58
- Statistical and Nonlinear Physics 48
- Statistics and Probability 33
Countries citing papers authored by Diego García‐Zamora
This map shows the geographic impact of Diego García‐Zamora'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 Diego García‐Zamora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego García‐Zamora more than expected).
Fields of papers citing papers by Diego García‐Zamora
This network shows the impact of papers produced by Diego García‐Zamora. 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 Diego García‐Zamora. The network helps show where Diego García‐Zamora may publish in the future.
Co-authorship network of co-authors of Diego García‐Zamora
This figure shows the co-authorship network connecting the top 25 collaborators of Diego García‐Zamora. A scholar is included among the top collaborators of Diego García‐Zamora 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 Diego García‐Zamora. Diego García‐Zamora is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 8 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 11 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 0 | |
| 12 | 13 | |
| 13 | 20 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 22 | |
| 17 | 17 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 92 |
About Diego García‐Zamora
Diego García‐Zamora is a scholar working on Management Science and Operations Research, Statistics and Probability and Artificial Intelligence, having authored 30 papers that have together received 342 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (22 papers), Fuzzy Systems and Optimization (7 papers) and Optimization and Mathematical Programming (7 papers). The work is most often cited by research in Management Science and Operations Research (218 citations), Artificial Intelligence (144 citations) and Statistics and Probability (33 citations). Diego García‐Zamora has collaborated with scholars based in Spain, China and Brazil. Frequent co-authors include Luis Martı́nez, Álvaro Labella, Rosa M. Rodríguez, Bapi Dutta, Weiping Ding, Ying‐Ming Wang, Shi-Fan He, Xiaohong Pan, Huihui Song and Juan Vicente Riera. Their work appears in journals such as European Journal of Operational Research, Expert Systems with Applications 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.