J. Frau
- Electrical and Electronic Engineering top 10%
- Control and Systems Engineering top 5%
- Renewable Energy, Sustainability and the Environment
- Energy Engineering and Power Technology top 10%
- Automotive Engineering
- Co-authors
- Josep M. GuerreroÉric MonmassonToshko ZhelevFrede BlaabjergK. HemmesMaría Paz ComechSamir JemeïAlberto Ortiz
- Topics
- Advanced Vision and Imaging (4 papers)Robotics and Sensor-Based Localization (4 papers)Target Tracking and Data Fusion in Sensor Networks (2 papers)
- Cited by
- Energy Engineering and Power TechnologyControl and Systems EngineeringElectrical and Electronic Engineering
- Journals
- IEEE Industrial Electronics MagazineIEEE International Conference on Acoustics Speech and Signal ProcessingSpringer eBooks
- Partner nations
- SpainNetherlandsDenmark
In The Last Decade
J. Frau
6 papers receiving 378 citations
Hit Papers
Peers
Comparison fields: 5 of 40
- Electrical and Electronic Engineering 343
- Control and Systems Engineering 273
- Renewable Energy, Sustainability and the Environment 59
- Energy Engineering and Power Technology 48
- Automotive Engineering 25
Countries citing papers authored by J. Frau
This map shows the geographic impact of J. Frau'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 J. Frau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Frau more than expected).
Fields of papers citing papers by J. Frau
This network shows the impact of papers produced by J. Frau. 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 J. Frau. The network helps show where J. Frau may publish in the future.
Co-authorship network of co-authors of J. Frau
This figure shows the co-authorship network connecting the top 25 collaborators of J. Frau. A scholar is included among the top collaborators of J. Frau 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 J. Frau. J. Frau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Distributed Generation: Toward a New Energy Paradigmbreakdown → | 377 |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 11 | |
| 7 | Computer vision: specialized processors for real-time image analysis : workshop proceedings, Barcelona, Spain, September 1991 | 1 |
| 8 | 0 | |
| 9 | 1 |
About J. Frau
J. Frau is a scholar working on Energy Engineering and Power Technology, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 9 papers that have together received 393 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (4 papers), Robotics and Sensor-Based Localization (4 papers) and Target Tracking and Data Fusion in Sensor Networks (2 papers). The work is most often cited by research in Energy Engineering and Power Technology (48 citations), Control and Systems Engineering (273 citations) and Electrical and Electronic Engineering (343 citations). J. Frau has collaborated with scholars based in Spain, Netherlands and Denmark. Frequent co-authors include Josep M. Guerrero, Éric Monmasson, Toshko Zhelev, Frede Blaabjerg, K. Hemmes, María Paz Comech, Samir Jemeï, Alberto Ortiz, Gabriel Oliver and E. Montseny. Their work appears in journals such as IEEE Industrial Electronics Magazine, IEEE International Conference on Acoustics Speech and Signal Processing and Springer eBooks.
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.