Fernando Díaz
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- Vehicle Routing Optimization Methods 18
- Optimization and Packing Problems 7
- Artificial Intelligence top 2%
- Metaheuristic Optimization Algorithms Research 16
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- Advanced Multi-Objective Optimization Algorithms 7
- Health top 10%
- Information Systems top 5%
- Spam and Phishing Detection 8
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- Gene expression and cancer classification 9
- Bioinformatics and Genomic Networks 8
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- Transportation and Mobility Innovations 4
- Co-authors
- Eneko OsabaRoberto CarballedoFlorentino Fdez‐RiverolaPedro López-GarcíaEnrique OnievaJuan M. CorchadoXin‐She YangJosé R. Méndez
- Cited by
- Industrial and Manufacturing EngineeringArtificial IntelligenceComputational Theory and Mathematics
- Partner nations
- SpainUnited StatesPortugal
In The Last Decade
Fernando Díaz
62 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 138
- Industrial and Manufacturing Engineering 262
- Artificial Intelligence 589
- Computational Theory and Mathematics 178
- Health 72
- Information Systems 156
Countries citing papers authored by Fernando Díaz
This map shows the geographic impact of Fernando Díaz'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 Fernando Díaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Díaz more than expected).
Fields of papers citing papers by Fernando Díaz
This network shows the impact of papers produced by Fernando Díaz. 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 Fernando Díaz. The network helps show where Fernando Díaz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fernando Díaz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 5 | |
| 2 | 2023 | 2 | |
| 3 | 2017 | 2 | |
| 4 | 2017 | 4 | |
| 5 | 2015 | 35 | |
| 6 | 2015 | 224 | |
| 7 | 2015 | 15 | |
| 8 | 2014 | 46 | |
| 9 | AMCPA: A Population Metaheuristic With Adaptive Crossover Probability and Multi-Crossover Mechanism for Solving Combinatorial Optimization Problems | 2014 | 17 |
| 10 | 2013 | 16 | |
| 11 | Comparison of a memetic algorithm and a tabu search algorithm for the traveling salesman problem | 2012 | 11 |
| 12 | 2012 | 6 | |
| 13 | Frames-to-AER efficiency study based on CPUs performance counters | 2010 | 1 |
| 14 | 2010 | 28 | |
| 15 | 2009 | 11 | |
| 16 | 2009 | 18 | |
| 17 | 2009 | 12 | |
| 18 | 2007 | 2 | |
| 19 | 2007 | 6 | |
| 20 | Analyzing the Impact of Corpus Preprocessing on AntiSpam Filtering Software | 2005 | 4 |
About Fernando Díaz
Fernando Díaz is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Tourism, Leisure and Hospitality Management, having authored 64 papers that have together received 1.2k indexed citations. Recurring topics across this work include Vehicle Routing Optimization Methods (18 papers), Metaheuristic Optimization Algorithms Research (16 papers), Gene expression and cancer classification (9 papers), Spam and Phishing Detection (8 papers), Bioinformatics and Genomic Networks (8 papers), Advanced Multi-Objective Optimization Algorithms (7 papers), Optimization and Packing Problems (7 papers) and Transportation and Mobility Innovations (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (262 citations), Artificial Intelligence (589 citations) and Computational Theory and Mathematics (178 citations). Fernando Díaz has collaborated with scholars based in Spain, United States and Portugal. Frequent co-authors include Eneko Osaba, Roberto Carballedo, Florentino Fdez‐Riverola, Pedro López-García, Enrique Onieva, Juan M. Corchado, Xin‐She Yang, José R. Méndez, Asier Perallos and Eva Iglesias.
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.