Beatriz de Agustina
- Mechanical Engineering top 10%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Industrial and Manufacturing Engineering top 5%
- Mechanics of Materials
- Co-authors
- Eva María RubioMarta María MarínAna María CamachoRosario DomingoMaría VilletaDiego CarouRoberto TetiClaudio Bernal
- Topics
- Advanced machining processes and optimization (27 papers)Advanced Machining and Optimization Techniques (25 papers)Advanced Surface Polishing Techniques (14 papers)
In The Last Decade
Beatriz de Agustina
40 papers receiving 386 citations
Peers
Comparison fields: 5 of 54
- Mechanical Engineering 323
- Electrical and Electronic Engineering 158
- Biomedical Engineering 89
- Industrial and Manufacturing Engineering 82
- Mechanics of Materials 45
Countries citing papers authored by Beatriz de Agustina
This map shows the geographic impact of Beatriz de Agustina'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 Beatriz de Agustina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beatriz de Agustina more than expected).
Fields of papers citing papers by Beatriz de Agustina
This network shows the impact of papers produced by Beatriz de Agustina. 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 Beatriz de Agustina. The network helps show where Beatriz de Agustina may publish in the future.
Co-authorship network of co-authors of Beatriz de Agustina
This figure shows the co-authorship network connecting the top 25 collaborators of Beatriz de Agustina. A scholar is included among the top collaborators of Beatriz de Agustina 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 Beatriz de Agustina. Beatriz de Agustina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | 8 | |
| 9 | 9 | |
| 10 | 12 | |
| 11 | 12 | |
| 12 | 4 | |
| 13 | 5 | |
| 14 | 8 | |
| 15 | 6 | |
| 16 | 30 | |
| 17 | 1 | |
| 18 | 9 | |
| 19 | 1 | |
| 20 | 4 |
About Beatriz de Agustina
Beatriz de Agustina is a scholar working on Mechanical Engineering, Ecological Modeling and Industrial and Manufacturing Engineering, having authored 40 papers that have together received 398 indexed citations. Recurring topics across this work include Advanced machining processes and optimization (27 papers), Advanced Machining and Optimization Techniques (25 papers) and Advanced Surface Polishing Techniques (14 papers). The work is most often cited by research in Mechanical Engineering (323 citations), Industrial and Manufacturing Engineering (82 citations) and Automotive Engineering (38 citations). Beatriz de Agustina has collaborated with scholars based in Spain, Italy and Portugal. Frequent co-authors include Eva María Rubio, Marta María Marín, Ana María Camacho, Rosario Domingo, María Villeta, Diego Carou, Roberto Teti, Claudio Bernal, Miguel Ángel Sebastián Pérez and J. Paulo Davim. Their work appears in journals such as Journal of Cleaner Production, Sensors and Sustainability.
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.