Penélope Ramírez

1.9k total citations · 1 hit paper
8 papers, 1.5k citations indexed

About

Penélope Ramírez is a scholar working on Environmental Engineering, Aerospace Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Penélope Ramírez has authored 8 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Environmental Engineering, 8 papers in Aerospace Engineering and 5 papers in Statistics, Probability and Uncertainty. Recurrent topics in Penélope Ramírez's work include Wind and Air Flow Studies (8 papers), Wind Energy Research and Development (8 papers) and Probabilistic and Robust Engineering Design (5 papers). Penélope Ramírez is often cited by papers focused on Wind and Air Flow Studies (8 papers), Wind Energy Research and Development (8 papers) and Probabilistic and Robust Engineering Design (5 papers). Penélope Ramírez collaborates with scholars based in Spain. Penélope Ramírez's co-authors include José A. Carta and Sergio Velázquez and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Energy Conversion and Management and Renewable Energy.

In The Last Decade

Penélope Ramírez

8 papers receiving 1.5k citations

Hit Papers

A review of wind speed probability distributions used in ... 2008 2026 2014 2020 2008 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Penélope Ramírez Spain 8 1.1k 842 784 175 169 8 1.5k
Sergio Velázquez Spain 11 779 0.7× 478 0.6× 735 0.9× 183 1.0× 62 0.4× 20 1.2k
Katherine Dykes United States 22 1.2k 1.1× 644 0.8× 533 0.7× 145 0.8× 114 0.7× 76 1.6k
John G. McGowan 2 1.4k 1.3× 630 0.7× 774 1.0× 147 0.8× 50 0.3× 4 2.0k
Pierre‐Elouan Réthoré Denmark 26 2.4k 2.1× 1.6k 1.9× 542 0.7× 209 1.2× 104 0.6× 90 2.7k
Tian Pau Chang Taiwan 11 612 0.5× 391 0.5× 552 0.7× 395 2.3× 41 0.2× 17 1.2k
Leo Jensen Denmark 14 1.3k 1.2× 912 1.1× 607 0.8× 145 0.8× 20 0.1× 23 1.8k
Matthew A. Lackner United States 33 1.8k 1.6× 767 0.9× 534 0.7× 78 0.4× 149 0.9× 84 3.4k
Gunner Chr. Larsen Denmark 29 3.3k 2.9× 2.4k 2.9× 751 1.0× 202 1.2× 172 1.0× 155 3.8k
Sten Tronæs Frandsen United Kingdom 22 3.4k 3.0× 2.4k 2.9× 818 1.0× 269 1.5× 74 0.4× 71 3.7k
Paulo Alexandre Costa Rocha Brazil 19 694 0.6× 511 0.6× 522 0.7× 267 1.5× 23 0.1× 62 1.3k

Countries citing papers authored by Penélope Ramírez

Since Specialization
Citations

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

Fields of papers citing papers by Penélope Ramírez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Penélope Ramírez

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

All Works

8 of 8 papers shown
1.
Carta, José A., Penélope Ramírez, & Sergio Velázquez. (2008). A review of wind speed probability distributions used in wind energy analysis. Renewable and Sustainable Energy Reviews. 13(5). 933–955. 690 indexed citations breakdown →
2.
Carta, José A., Penélope Ramírez, & Sergio Velázquez. (2008). Influence of the level of fit of a density probability function to wind-speed data on the WECS mean power output estimation. Energy Conversion and Management. 49(10). 2647–2655. 66 indexed citations
3.
Carta, José A., et al.. (2008). A joint probability density function of wind speed and direction for wind energy analysis. Energy Conversion and Management. 49(6). 1309–1320. 138 indexed citations
4.
Carta, José A., et al.. (2007). Statistical modelling of directional wind speeds using mixtures of von Mises distributions: Case study. Energy Conversion and Management. 49(5). 897–907. 112 indexed citations
5.
Carta, José A. & Penélope Ramírez. (2006). Analysis of two-component mixture Weibull statistics for estimation of wind speed distributions. Renewable Energy. 32(3). 518–531. 168 indexed citations
6.
Carta, José A. & Penélope Ramírez. (2006). Use of finite mixture distribution models in the analysis of wind energy in the Canarian Archipelago. Energy Conversion and Management. 48(1). 281–291. 99 indexed citations
7.
Ramírez, Penélope & José A. Carta. (2005). The use of wind probability distributions derived from the maximum entropy principle in the analysis of wind energy. A case study. Energy Conversion and Management. 47(15-16). 2564–2577. 116 indexed citations
8.
Ramírez, Penélope & José A. Carta. (2005). Influence of the data sampling interval in the estimation of the parameters of the Weibull wind speed probability density distribution: a case study. Energy Conversion and Management. 46(15-16). 2419–2438. 158 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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