Julio Barrera
Impact in
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- Advanced Multi-Objective Optimization Algorithms
Papers in
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- Epigenetics and DNA Methylation 3
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- Metaheuristic Optimization Algorithms Research 6
- Evolutionary Algorithms and Applications 4
- Co-authors
- Carlos A. Coello Coello (3 shared papers)Ornit Chiba‐Falek (10 shared papers)Michael W. Lutz (3 shared papers)Juan J. Flores (4 shared papers)Ting Hon (1 shared paper)Elizabeth Tseng (1 shared paper)Claudio R. Fuerte‐Esquivel (2 shared papers)William J. Rowell (1 shared paper)
- Journals
- Alzheimer s & Dementia (3 papers)Journal of Alzheimer s Disease (1 paper)PLoS ONE (1 paper)Translational Psychiatry (1 paper)Biometrical Journal (1 paper)
- Partner nations
- United StatesMexicoGermany
In The Last Decade
Julio Barrera
19 papers receiving 220 citations
Peers
Comparison fields: 5 of 80
- Biological Psychiatry 13
- Computational Theory and Mathematics 33
- Neurology 15
- Neurology 22
- Physiology 34
Countries citing papers authored by Julio Barrera
This map shows the geographic impact of Julio Barrera'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 Julio Barrera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julio Barrera more than expected).
Fields of papers citing papers by Julio Barrera
This network shows the impact of papers produced by Julio Barrera. 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 Julio Barrera. The network helps show where Julio Barrera may publish in the future.
Co-authors
The 25 scholars most cited alongside Julio Barrera, 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 | 2020 | 47 | |
| 2 | 2009 | 45 | |
| 3 | 2016 | 20 | |
| 4 | 2019 | 19 | |
| 5 | 2021 | 18 | |
| 6 | 2018 | 17 | |
| 7 | 2023 | 11 | |
| 8 | 1998 | 10 | |
| 9 | 2007 | 7 | |
| 10 | 2021 | 7 | |
| 11 | 1999 | 7 | |
| 12 | 2019 | 4 | |
| 13 | 2020 | 2 | |
| 14 | 2009 | 2 | |
| 15 | 2022 | 1 | |
| 16 | Plotting of Complete Bifurcation Diagrams Using a Dynamic Environment Particle Swarm Optimization Algorithm. | 2008 | 1 |
| 17 | 2023 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2007 | 1 |
About Julio Barrera
Julio Barrera is a scholar working on Molecular Biology, Artificial Intelligence, Computational Theory and Mathematics, Physiology and Neurology, having authored 19 papers that have together received 221 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (6 papers), Alzheimer's disease research and treatments (4 papers), Evolutionary Algorithms and Applications (4 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Epigenetics and DNA Methylation (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Nuclear Receptors and Signaling (2 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Biological Psychiatry (13 citations), Computational Theory and Mathematics (33 citations), Neurology (15 citations), Neurology (22 citations) and Physiology (34 citations). Julio Barrera has collaborated with scholars based in United States, Mexico and Germany. Frequent co-authors include Carlos A. Coello Coello, Ornit Chiba‐Falek, Michael W. Lutz, Juan J. Flores, Ting Hon, Elizabeth Tseng, Claudio R. Fuerte‐Esquivel, William J. Rowell, J. Andrés Christen and Boris Kantor. Their work appears in journals such as Alzheimer s & Dementia, Journal of Alzheimer s Disease, PLoS ONE, Translational Psychiatry and Biometrical Journal.
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.