Hugo Díaz

1.6k total citations · 2 hit papers
25 papers, 1.2k citations indexed

About

Hugo Díaz is a scholar working on Ocean Engineering, Aerospace Engineering and Management, Monitoring, Policy and Law. According to data from OpenAlex, Hugo Díaz has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Ocean Engineering, 8 papers in Aerospace Engineering and 5 papers in Management, Monitoring, Policy and Law. Recurrent topics in Hugo Díaz's work include Wind Energy Research and Development (8 papers), Wave and Wind Energy Systems (8 papers) and Marine and Offshore Engineering Studies (7 papers). Hugo Díaz is often cited by papers focused on Wind Energy Research and Development (8 papers), Wave and Wind Energy Systems (8 papers) and Marine and Offshore Engineering Studies (7 papers). Hugo Díaz collaborates with scholars based in Portugal, China and United States. Hugo Díaz's co-authors include C. Guedes Soares, He Li, A.P. Teixeira, Javier Nieto, José Antonio de la O Serna, José Miguel Rodrigues, Sean Loughney, J. Wang, Harbir Antil and E Vottero-Cima and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Renewable Energy and Muscle & Nerve.

In The Last Decade

Hugo Díaz

25 papers receiving 1.1k citations

Hit Papers

Review of the current status, technology and future trend... 2020 2026 2022 2024 2020 2021 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hugo Díaz Portugal 13 362 326 152 151 143 25 1.2k
Philipp R. Thies United Kingdom 23 819 2.3× 462 1.4× 217 1.4× 152 1.0× 192 1.3× 118 1.6k
Laura Castro‐Santos Spain 21 669 1.8× 663 2.0× 101 0.7× 246 1.6× 165 1.2× 68 1.3k
José Santos López Gutiérrez Spain 18 444 1.2× 332 1.0× 76 0.5× 214 1.4× 134 0.9× 70 1.5k
Eva Loukogeorgaki Greece 14 516 1.4× 173 0.5× 105 0.7× 64 0.4× 70 0.5× 55 941
M. Dolores Esteban Spain 21 443 1.2× 335 1.0× 199 1.3× 228 1.5× 273 1.9× 83 1.8k
Hongyong Yuan China 22 586 1.6× 83 0.3× 312 2.1× 129 0.9× 62 0.4× 70 1.5k
Vicente Negro Spain 15 319 0.9× 286 0.9× 64 0.4× 151 1.0× 110 0.8× 53 1.3k
Ahmed Mébarki France 23 251 0.7× 217 0.7× 167 1.1× 83 0.5× 40 0.3× 100 1.5k
Tor Anders Nygaard Norway 15 558 1.5× 551 1.7× 87 0.6× 147 1.0× 98 0.7× 36 1.0k
Sungmoon Jung United States 23 88 0.2× 160 0.5× 141 0.9× 251 1.7× 163 1.1× 91 1.7k

Countries citing papers authored by Hugo Díaz

Since Specialization
Citations

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

Fields of papers citing papers by Hugo Díaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hugo Díaz

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

All Works

20 of 20 papers shown
1.
Antil, Harbir, et al.. (2024). Nonlocal Bounded Variations with Applications. SIAM Journal on Mathematical Analysis. 56(2). 1903–1935. 1 indexed citations
2.
Antil, Harbir, et al.. (2023). An optimal time variable learning framework for Deep Neural Networks. 8(3). 501–543. 1 indexed citations
3.
Díaz, Hugo & C. Guedes Soares. (2023). Cost and financial evaluation model for the design of floating offshore wind farms. Ocean Engineering. 287. 115841–115841. 24 indexed citations
4.
Filgueira‐Vizoso, Almudena, Laura Castro‐Santos, María Isabel Lamas Galdo, et al.. (2022). The Technical and Economic Feasibility of the CENTEC Floating Offshore Wind Platform. Journal of Marine Science and Engineering. 10(10). 1344–1344. 8 indexed citations
5.
Díaz, Hugo & C. Guedes Soares. (2022). Multicriteria Decision Approach to the Design of Floating Wind Farm Export Cables. Energies. 15(18). 6593–6593. 4 indexed citations
6.
Díaz, Hugo & C. Guedes Soares. (2022). Approach for Installation and Logistics of a Floating Offshore Wind Farm. Journal of Marine Science and Engineering. 11(1). 53–53. 16 indexed citations
7.
Díaz, Hugo, Sean Loughney, J. Wang, & C. Guedes Soares. (2022). Comparison of multicriteria analysis techniques for decision making on floating offshore wind farms site selection. Ocean Engineering. 248. 110751–110751. 30 indexed citations
8.
Díaz, Hugo, A.P. Teixeira, & C. Guedes Soares. (2022). Application of Monte Carlo and Fuzzy Analytic Hierarchy Processes for ranking floating wind farm locations. Ocean Engineering. 245. 110453–110453. 75 indexed citations
9.
Díaz, Hugo, José Antonio de la O Serna, Javier Nieto, & C. Guedes Soares. (2022). Market Needs, Opportunities and Barriers for the Floating Wind Industry. Journal of Marine Science and Engineering. 10(7). 934–934. 43 indexed citations
10.
Díaz, Hugo & C. Guedes Soares. (2021). A Multi-Criteria Approach to Evaluate Floating Offshore Wind Farms Siting in the Canary Islands (Spain). Energies. 14(4). 865–865. 57 indexed citations
11.
Díaz, Hugo & C. Guedes Soares. (2021). A novel multi-criteria decision-making model to evaluate floating wind farm locations. Renewable Energy. 185. 431–454. 33 indexed citations
12.
Li, He, Hugo Díaz, & C. Guedes Soares. (2021). A failure analysis of floating offshore wind turbines using AHP-FMEA methodology. Ocean Engineering. 234. 109261–109261. 144 indexed citations breakdown →
13.
Li, He, Hugo Díaz, & C. Guedes Soares. (2020). A developed failure mode and effect analysis for floating offshore wind turbine support structures. Renewable Energy. 164. 133–145. 112 indexed citations
14.
Díaz, Hugo & C. Guedes Soares. (2020). An integrated GIS approach for site selection of floating offshore wind farms in the Atlantic continental European coastline. Renewable and Sustainable Energy Reviews. 134. 110328–110328. 95 indexed citations
15.
Díaz, Hugo & C. Guedes Soares. (2020). Review of the current status, technology and future trends of offshore wind farms. Ocean Engineering. 209. 107381–107381. 439 indexed citations breakdown →
16.
Elizalde, Ignacio, et al.. (2018). Mathematical modeling and simulation of an industrial adiabatic trickle-bed reactor for upgrading heavy crude oil by hydrotreatment process. Reaction Kinetics Mechanisms and Catalysis. 126(1). 31–48. 2 indexed citations
17.
Díaz, Hugo, José Miguel Rodrigues, & C. Guedes Soares. (2017). Evaluation of an Offshore Floating Wind Power Project on the Galician Coast. 4 indexed citations
18.
Díaz, Hugo, José Miguel Rodrigues, & C. Guedes Soares. (2016). Preliminary cost assessment of an offshore floating wind farm installation on the Galician coast. 843–850. 8 indexed citations
19.
Giordanengo, Laura, Ricardo Fretes, Hugo Díaz, et al.. (2000). Cruzipain induces autoimmune response against skeletal muscle and tissue damage in mice. Muscle & Nerve. 23(9). 1407–1413. 9 indexed citations
20.
Díaz, Hugo, et al.. (1996). Problemas, perspectivas y requerimientos de la formación magisterial en el Perú. 1 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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