F. Díaz

442 total citations
12 papers, 329 citations indexed

About

F. Díaz is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, F. Díaz has authored 12 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Electrical and Electronic Engineering and 4 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in F. Díaz's work include Solar Radiation and Photovoltaics (7 papers), Energy Load and Power Forecasting (4 papers) and Photovoltaic System Optimization Techniques (4 papers). F. Díaz is often cited by papers focused on Solar Radiation and Photovoltaics (7 papers), Energy Load and Power Forecasting (4 papers) and Photovoltaic System Optimization Techniques (4 papers). F. Díaz collaborates with scholars based in Spain, Réunion and Italy. F. Díaz's co-authors include Luis Mazorra-Aguiar, P Lauret, Mathieu David, Baltasar Peñate, G. Montero, Eduardo Rodríguez, R. Montenegro, J.M. Escobar, Marcos Blanco and Juan I. Pérez‐Díaz and has published in prestigious journals such as Renewable Energy, Solar Energy and Desalination.

In The Last Decade

F. Díaz

11 papers receiving 318 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
F. Díaz Spain 6 211 194 162 67 34 12 329
Javier Arnaldo Spain 5 200 0.9× 137 0.7× 133 0.8× 35 0.5× 8 0.2× 9 349
Young‐Kwan Choi South Korea 9 91 0.4× 218 1.1× 161 1.0× 48 0.7× 22 0.6× 24 438
A.Q. Malik Brunei 9 224 1.1× 297 1.5× 104 0.6× 9 0.1× 8 0.2× 20 423
Stefano Giuliano Germany 12 84 0.4× 301 1.6× 67 0.4× 9 0.1× 27 0.8× 30 380
Thomas L. Acker United States 11 49 0.2× 48 0.2× 151 0.9× 36 0.5× 9 0.3× 40 309
Flore Rémouit Sweden 4 86 0.4× 47 0.2× 165 1.0× 12 0.2× 13 0.4× 8 308
Md. Nazmul Islam Sarkar Bangladesh 9 87 0.4× 153 0.8× 241 1.5× 29 0.4× 9 0.3× 17 431
Mustapha Merzouk Algeria 13 105 0.5× 286 1.5× 106 0.7× 43 0.6× 20 0.6× 37 476
Benjamin Pillot France 9 116 0.5× 98 0.5× 94 0.6× 36 0.5× 4 0.1× 23 312
Bharat Kumar Saxena India 9 71 0.3× 128 0.7× 130 0.8× 29 0.4× 3 0.1× 32 311

Countries citing papers authored by F. Díaz

Since Specialization
Citations

This map shows the geographic impact of F. Díaz'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 F. Díaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Díaz more than expected).

Fields of papers citing papers by F. Díaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. Díaz. 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 F. Díaz. The network helps show where F. Díaz may publish in the future.

Co-authorship network of co-authors of F. Díaz

This figure shows the co-authorship network connecting the top 25 collaborators of F. Díaz. A scholar is included among the top collaborators of F. Díaz 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 F. Díaz. F. Díaz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Díaz, F.. (2018). American Steamship Owners Mutual Protection and Indemnity Association, Inc. v. Dann Ocean Towing, Inc. 756 F.3d 314 United States Court of Appeals for the Fourth Circuit (Decided June 26, 2014). 2014(1). 7.
3.
Blanco, Marcos, et al.. (2018). Wave farms grid code compliance in isolated small power systems. IET Renewable Power Generation. 13(1). 171–179. 13 indexed citations
4.
Díaz, F., et al.. (2017). Improving shadows detection for solar radiation numerical models. Applied Mathematics and Computation. 319. 71–85. 14 indexed citations
5.
Mazorra-Aguiar, Luis, et al.. (2017). Daily Global Solar Radiation estimation for Gran Canaria Island using Artificial Neural Networks. Renewable Energy and Power Quality Journal. 14(8). 1 indexed citations
6.
7.
Díaz, F., G. Montero, J.M. Escobar, Eduardo Rodríguez, & R. Montenegro. (2015). A new predictive solar radiation numerical model. Applied Mathematics and Computation. 267. 596–603. 4 indexed citations
8.
Mazorra-Aguiar, Luis, et al.. (2015). Use of satellite data to improve solar radiation forecasting with Bayesian Artificial Neural Networks. Solar Energy. 122. 1309–1324. 86 indexed citations
9.
Díaz, F., G. Montero, J.M. Escobar, Eduardo Rodríguez, & R. Montenegro. (2012). An adaptive solar radiation numerical model. Journal of Computational and Applied Mathematics. 236(18). 4611–4622. 11 indexed citations
10.
Díaz, F., et al.. (2010). Typical Meteorological Year (TMY) Evaluation for Power Generation in Gran Canaria Island, Spain. EU PVSEC. 4726–4728. 5 indexed citations
11.
Díaz, F., G. Montero, J.M. Escobar, Eduardo Rodríguez, & R. Montenegro. (2010). A Solar Radiation Model for Photovoltaic and Solar Thermal Power Exploitation. Civil-comp proceedings. 94. 1 indexed citations
12.
Díaz, F., et al.. (2008). Photovoltaic Energy Promotion in Europe: Italy and Spain, two Visions, one Aim. 599. 1–5. 2 indexed citations

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.

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