Akemi Gálvez
- Computational Mechanics top 2%
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Mechanical Engineering top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- Andrés IglesiasJaime Puig-PeyIztok FisterCésar OteroCristina ManchadoEneko OsabaJavier Del SerValentín Gómez Jáuregui
- Topics
- Advanced Numerical Analysis Techniques (39 papers)Advanced Vision and Imaging (14 papers)Metaheuristic Optimization Algorithms Research (12 papers)
- Cited by
- Computational MechanicsComputer Graphics and Computer-Aided DesignComputer Vision and Pattern Recognition
- Journals
- IEEE AccessRenewable EnergyNutrients
In The Last Decade
Akemi Gálvez
77 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 110
- Computational Mechanics 483
- Computer Vision and Pattern Recognition 381
- Artificial Intelligence 265
- Mechanical Engineering 218
- Computational Theory and Mathematics 106
Countries citing papers authored by Akemi Gálvez
This map shows the geographic impact of Akemi Gálvez'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 Akemi Gálvez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akemi Gálvez more than expected).
Fields of papers citing papers by Akemi Gálvez
This network shows the impact of papers produced by Akemi Gálvez. 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 Akemi Gálvez. The network helps show where Akemi Gálvez may publish in the future.
Co-authorship network of co-authors of Akemi Gálvez
This figure shows the co-authorship network connecting the top 25 collaborators of Akemi Gálvez. A scholar is included among the top collaborators of Akemi Gálvez 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 Akemi Gálvez. Akemi Gálvez 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 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 7 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 6 | |
| 11 | 6 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 35 | |
| 15 | 1 | |
| 16 | 9 | |
| 17 | 1 | |
| 18 | 21 | |
| 19 | 23 | |
| 20 | 4 |
About Akemi Gálvez
Akemi Gálvez is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 84 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (39 papers), Advanced Vision and Imaging (14 papers) and Metaheuristic Optimization Algorithms Research (12 papers). The work is most often cited by research in Computational Mechanics (483 citations), Computer Graphics and Computer-Aided Design (81 citations) and Computer Vision and Pattern Recognition (381 citations). Akemi Gálvez has collaborated with scholars based in Spain, Japan and Slovenia. Frequent co-authors include Andrés Iglesias, Jaime Puig-Pey, Iztok Fister, César Otero, Cristina Manchado, Eneko Osaba, Javier Del Ser, Valentín Gómez Jáuregui, Iztok Fister and Mitja Slavinec. Their work appears in journals such as IEEE Access, Renewable Energy and Nutrients.
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.