Fernando E. B. Otero
- Artificial Intelligence top 5%
- Metaheuristic Optimization Algorithms Research 27
- Evolutionary Algorithms and Applications 21
- Machine Learning and Data Classification 8
- Data Stream Mining Techniques 3
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- Stock Market Forecasting Methods 8
- Information Systems top 5%
- Data Mining Algorithms and Applications 11
- Finance top 10%
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- Viral Infectious Diseases and Gene Expression in Insects 5
- Machine Learning in Bioinformatics 3
- Co-authors
- Alex A. FreitasColin G. JohnsonMichael KampouridisKhalid M. SalamaDavid CamachoHéctor D. MenéndezAshraf M. AbdelbarGisele L. Pappa
- Journals
- Expert Systems with Applications (1 paper)IEEE Access (1 paper)IEEE Transactions on Evolutionary Computation (1 paper)
- Partner nations
- United KingdomBrazilSpain
In The Last Decade
Fernando E. B. Otero
46 papers receiving 577 citations
Peers
Comparison fields: 5 of 83
- Artificial Intelligence 428
- Management Science and Operations Research 94
- Information Systems 167
- Computational Theory and Mathematics 75
- Finance 37
Countries citing papers authored by Fernando E. B. Otero
This map shows the geographic impact of Fernando E. B. Otero'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 E. B. Otero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando E. B. Otero more than expected).
Fields of papers citing papers by Fernando E. B. Otero
This network shows the impact of papers produced by Fernando E. B. Otero. 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 E. B. Otero. The network helps show where Fernando E. B. Otero may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Fernando E. B. Otero, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2022 | 1 | |
| 4 | 2022 | 4 | |
| 5 | 2021 | 7 | |
| 6 | 2021 | 6 | |
| 7 | 2020 | 3 | |
| 8 | 2018 | 1 | |
| 9 | 2017 | 2 | |
| 10 | 2016 | 27 | |
| 11 | 2016 | 1 | |
| 12 | 2016 | 1 | |
| 13 | SACOC: A spectral-based ACO clustering algorithm | 2015 | 1 |
| 14 | 2015 | 11 | |
| 15 | Metodología de enseñanza de los deportes de invasión en primaria | 2014 | 4 |
| 16 | 2013 | 5 | |
| 17 | 2013 | 4 | |
| 18 | 2012 | 92 | |
| 19 | Refactoring in Automatically Generated Programs | 2010 | 9 |
| 20 | 2009 | 40 |
About Fernando E. B. Otero
Fernando E. B. Otero is a scholar working on Artificial Intelligence, Life-span and Life-course Studies and Management Science and Operations Research, having authored 48 papers that have together received 595 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (27 papers), Evolutionary Algorithms and Applications (21 papers), Data Mining Algorithms and Applications (11 papers), Stock Market Forecasting Methods (8 papers), Machine Learning and Data Classification (8 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), Machine Learning in Bioinformatics (3 papers) and Data Stream Mining Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (428 citations), Management Science and Operations Research (94 citations) and Information Systems (167 citations). Fernando E. B. Otero has collaborated with scholars based in United Kingdom, Brazil and Spain. Frequent co-authors include Alex A. Freitas, Colin G. Johnson, Michael Kampouridis, Khalid M. Salama, David Camacho, Héctor D. Menéndez, Ashraf M. Abdelbar, Gisele L. Pappa, Ayah Helal and Antonio D. Masegosa. Their work appears in journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Evolutionary Computation.
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.