Pedro Fernández
- Mechanical Engineering
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Computational Mechanics top 10%
- Electrical and Electronic Engineering
- Co-authors
- G. ValiñoDavid BlancoBraulio José Álvarez ÁlvarezÁ. NoriegaE. CuestaJorge Xiberta BernatCarlos SuárezF. Pelayo
- Topics
- Surface Roughness and Optical Measurements (15 papers)Optical measurement and interference techniques (14 papers)Advanced Measurement and Metrology Techniques (13 papers)
- Journals
- FuelRenewable EnergySensors
- Partner nations
- SpainPanamaUnited Kingdom
In The Last Decade
Pedro Fernández
33 papers receiving 401 citations
Peers
Comparison fields: 5 of 107
- Mechanical Engineering 136
- Computer Vision and Pattern Recognition 98
- Biomedical Engineering 90
- Computational Mechanics 84
- Electrical and Electronic Engineering 64
Countries citing papers authored by Pedro Fernández
This map shows the geographic impact of Pedro Fernández'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 Pedro Fernández with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedro Fernández more than expected).
Fields of papers citing papers by Pedro Fernández
This network shows the impact of papers produced by Pedro Fernández. 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 Pedro Fernández. The network helps show where Pedro Fernández may publish in the future.
Co-authorship network of co-authors of Pedro Fernández
This figure shows the co-authorship network connecting the top 25 collaborators of Pedro Fernández. A scholar is included among the top collaborators of Pedro Fernández 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 Pedro Fernández. Pedro Fernández is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 183 | |
| 9 | 5 | |
| 10 | 0 | |
| 11 | 10 | |
| 12 | 0 | |
| 13 | 12 | |
| 14 | 3 | |
| 15 | 14 | |
| 16 | 8 | |
| 17 | Aplicaciones metrológicas y de ingeniería inversa de los láseres por triangulación | 2 |
| 18 | Tasas de potencia de dos enfoques robustos para analizar datos longitudinales | 3 |
| 19 | 13 | |
| 20 | Laboratorio Virtual como Conjunto de Objetos de Aprendizaje de los Dispositivos Electrónicos. Utilización como Herramienta de Autoevaluación | 1 |
About Pedro Fernández
Pedro Fernández is a scholar working on Geology, Industrial and Manufacturing Engineering and Computational Mechanics, having authored 41 papers that have together received 412 indexed citations. Recurring topics across this work include Surface Roughness and Optical Measurements (15 papers), Optical measurement and interference techniques (14 papers) and Advanced Measurement and Metrology Techniques (13 papers). The work is most often cited by research in Geology (38 citations), Industrial and Manufacturing Engineering (61 citations) and General Dentistry (11 citations). Pedro Fernández has collaborated with scholars based in Spain, Panama and United Kingdom. Frequent co-authors include G. Valiño, David Blanco, Braulio José Álvarez Álvarez, Á. Noriega, E. Cuesta, Jorge Xiberta Bernat, Carlos Suárez, F. Pelayo, David Blanco and H. Daniel Patiño. Their work appears in journals such as Fuel, Renewable Energy and Sensors.
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.