Eva María Rubio
- Mechanical Engineering top 1%
- Advanced machining processes and optimization 45
- Metal Forming Simulation Techniques 16
- Additive Manufacturing Materials and Processes 9
-
- Manufacturing Process and Optimization 17
- Automotive Engineering top 5%
- Additive Manufacturing and 3D Printing Technologies 18
- Mechanics of Materials top 5%
- Metallurgy and Material Forming 16
- Biomaterials top 10%
-
- Advanced Machining and Optimization Techniques 33
-
- Advanced Surface Polishing Techniques 28
Eva María Rubio
98 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 79
- Mechanical Engineering 1.4k
- Industrial and Manufacturing Engineering 248
- Automotive Engineering 189
- Mechanics of Materials 359
- Biomaterials 181
Countries citing papers authored by Eva María Rubio
This map shows the geographic impact of Eva María Rubio'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 María Rubio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva María Rubio more than expected).
Fields of papers citing papers by Eva María Rubio
This network shows the impact of papers produced by Eva María Rubio. 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 María Rubio. The network helps show where Eva María Rubio may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eva María Rubio, 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 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 23 | |
| 11 | 2021 | 29 | |
| 12 | 2021 | 1 | |
| 13 | 2021 | 20 | |
| 14 | 2021 | 31 | |
| 15 | 2020 | 14 | |
| 16 | 2016 | 47 | |
| 17 | 2013 | 17 | |
| 18 | 2012 | 1 | |
| 19 | 2004 | 7 | |
| 20 | Aplicación de técnicas de realidad virtual al estudio del comportamiento de sistemas flexibles de fabricación | 2002 | 2 |
About Eva María Rubio
Eva María Rubio is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Automotive Engineering, having authored 103 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced machining processes and optimization (45 papers), Advanced Machining and Optimization Techniques (33 papers), Advanced Surface Polishing Techniques (28 papers), Additive Manufacturing and 3D Printing Technologies (18 papers), Manufacturing Process and Optimization (17 papers), Metallurgy and Material Forming (16 papers), Metal Forming Simulation Techniques (16 papers) and Additive Manufacturing Materials and Processes (9 papers). The work is most often cited by research in Mechanical Engineering (1.4k citations), Industrial and Manufacturing Engineering (248 citations) and Automotive Engineering (189 citations). Eva María Rubio has collaborated with scholars based in Spain, Portugal and Italy. Frequent co-authors include Diego Carou, J. Paulo Davim, Beatriz de Agustina, Miguel Ángel Sebastián Pérez, Roberto Teti, Marta María Marín, Ana María Camacho, Carlos Henrique Lauro, María Villeta and M. Marcos. Their work appears in journals such as Journal of Materials Processing Technology, Metals, Applied Sciences, Materials and The International Journal of Advanced Manufacturing Technology.
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.