Eva Portillo
Impact in
- Mechanical Engineering top 10%
- Advanced machining processes and optimization
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- Manufacturing Process and Optimization
- Industrial Vision Systems and Defect Detection
Papers in
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- Advanced machining processes and optimization 18
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- Advanced Machining and Optimization Techniques 15
- Co-authors
- Itziar Cabanes (34 shared papers)J.A. Sánchez (15 shared papers)Marga Marcos (17 shared papers)Asier Zubizarreta (20 shared papers)Diana Manjarrés (9 shared papers)Itziar Landa-Torres (8 shared papers)Soraya Plaza (1 shared paper)I. Pombo (3 shared papers)
- Journals
- Sensors (4 papers)Applied Soft Computing (4 papers)The International Journal of Advanced Manufacturing Technology (3 papers)Neural Computing and Applications (3 papers)IEEE Access (2 papers)
- Partner nations
- SpainNew ZealandFrance
In The Last Decade
Eva Portillo
44 papers receiving 544 citations
Peers
Comparison fields: 5 of 103
- Mechanical Engineering 256
- Industrial and Manufacturing Engineering 72
- Control and Systems Engineering 114
- Biomedical Engineering 197
- Electrical and Electronic Engineering 237
Countries citing papers authored by Eva Portillo
This map shows the geographic impact of Eva Portillo'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 Eva Portillo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Portillo more than expected).
Fields of papers citing papers by Eva Portillo
This network shows the impact of papers produced by Eva Portillo. 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 Eva Portillo. The network helps show where Eva Portillo may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Portillo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 66 | |
| 2 | 2021 | 47 | |
| 3 | 2017 | 45 | |
| 4 | 2007 | 43 | |
| 5 | 2007 | 38 | |
| 6 | 2022 | 24 | |
| 7 | 2012 | 23 | |
| 8 | 2021 | 19 | |
| 9 | 2014 | 18 | |
| 10 | 2016 | 18 | |
| 11 | 2015 | 17 | |
| 12 | 2017 | 16 | |
| 13 | 2019 | 15 | |
| 14 | 2008 | 14 | |
| 15 | 2020 | 14 | |
| 16 | 2009 | 13 | |
| 17 | 2018 | 12 | |
| 18 | 2007 | 11 | |
| 19 | 2024 | 10 | |
| 20 | 2017 | 9 |
About Eva Portillo
Eva Portillo is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering, Biomedical Engineering, Artificial Intelligence and Control and Systems Engineering, having authored 50 papers that have together received 564 indexed citations. Recurring topics across this work include Advanced machining processes and optimization (18 papers), Advanced Machining and Optimization Techniques (15 papers), Advanced Surface Polishing Techniques (10 papers), Iterative Learning Control Systems (6 papers), Neural Networks and Applications (6 papers), Robotic Mechanisms and Dynamics (6 papers), Muscle activation and electromyography studies (4 papers) and Anomaly Detection Techniques and Applications (3 papers). The work is most often cited by research in Mechanical Engineering (256 citations), Industrial and Manufacturing Engineering (72 citations), Control and Systems Engineering (114 citations), Biomedical Engineering (197 citations) and Electrical and Electronic Engineering (237 citations). Eva Portillo has collaborated with scholars based in Spain, New Zealand and France. Frequent co-authors include Itziar Cabanes, J.A. Sánchez, Marga Marcos, Asier Zubizarreta, Diana Manjarrés, Itziar Landa-Torres, Soraya Plaza, I. Pombo, Eloy Irigoyen and D. Orive. Their work appears in journals such as Sensors, Applied Soft Computing, The International Journal of Advanced Manufacturing Technology, Neural Computing and Applications and IEEE Access.
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.