Fernando Dias
- Electrical and Electronic Engineering
- Automotive Engineering top 10%
- Radiology, Nuclear Medicine and Imaging
- Renewable Energy, Sustainability and the Environment
- Energy Engineering and Power Technology top 10%
- Co-authors
- JOSÉ VIRIATO COELHO VARGASJuan C. OrdóñezManish MohanpurkarRob HovsapianMarcos Leal BrioschiYusheng LuoMônica Beatriz ParolinDon Scoffield
- Topics
- Algal biology and biofuel production (5 papers)Advanced Battery Technologies Research (4 papers)Biodiesel Production and Applications (3 papers)
- Cited by
- Energy Engineering and Power TechnologyAutomotive EngineeringComplementary and Manual Therapy
- Partner nations
- United StatesBrazil
In The Last Decade
Fernando Dias
16 papers receiving 255 citations
Peers
Comparison fields: 5 of 65
- Electrical and Electronic Engineering 106
- Automotive Engineering 79
- Radiology, Nuclear Medicine and Imaging 61
- Renewable Energy, Sustainability and the Environment 43
- Energy Engineering and Power Technology 41
Countries citing papers authored by Fernando Dias
This map shows the geographic impact of Fernando Dias'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 Fernando Dias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Dias more than expected).
Fields of papers citing papers by Fernando Dias
This network shows the impact of papers produced by Fernando Dias. 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 Fernando Dias. The network helps show where Fernando Dias may publish in the future.
Co-authorship network of co-authors of Fernando Dias
This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Dias. A scholar is included among the top collaborators of Fernando Dias 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 Fernando Dias. Fernando Dias is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 22 | |
| 3 | 1 | |
| 4 | 14 | |
| 5 | 7 | |
| 6 | Modeling and simulation of microalgae derived hydrogen production in compact large scale photobioreactors | 1 |
| 7 | 40 | |
| 8 | 8 | |
| 9 | 28 | |
| 10 | 36 | |
| 11 | 9 | |
| 12 | 10 | |
| 13 | 16 | |
| 14 | 1 | |
| 15 | 46 | |
| 16 | 22 |
About Fernando Dias
Fernando Dias is a scholar working on Renewable Energy, Sustainability and the Environment, Automotive Engineering and Energy Engineering and Power Technology, having authored 16 papers that have together received 265 indexed citations. Recurring topics across this work include Algal biology and biofuel production (5 papers), Advanced Battery Technologies Research (4 papers) and Biodiesel Production and Applications (3 papers). The work is most often cited by research in Energy Engineering and Power Technology (41 citations), Automotive Engineering (79 citations) and Complementary and Manual Therapy (7 citations). Fernando Dias has collaborated with scholars based in United States and Brazil. Frequent co-authors include JOSÉ VIRIATO COELHO VARGAS, Juan C. Ordóñez, Manish Mohanpurkar, Rob Hovsapian, Marcos Leal Brioschi, Yusheng Luo, Mônica Beatriz Parolin, Don Scoffield, Fabiane Mulinari‐Brenner and Daniel R. Colman. Their work appears in journals such as Journal of Power Sources, International Journal of Hydrogen Energy and Renewable Energy.
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.