Pablo Ferrada

815 citations
53 papers · 669 · h-index 13

Impact in

Papers in

Pablo Ferrada

50 papers receiving 654 citations

Peers

Pablo Ferrada
Comparison fields: 5 of 70
  • Renewable Energy, Sustainability and the Environment 443
  • Environmental Engineering 208
  • Artificial Intelligence 283
  • Pollution 60
  • Electrical and Electronic Engineering 275
Replace Carlos Portillo with:
Carlos Portillo Chile
Suellen Caroline Silva Costa Brazil
F. M. El-Hussainy Egypt
Julián Ascencio‐Vásquez Slovenia
Isidoro Lillo Bravo Spain
Hamed Hanifi Germany
Giorgio Belluardo Italy
Tetsuyuki Ishii Japan
M. Alonso-Abellá Spain
Franz Baumgartner Switzerland
Pablo Ferrada relative to Carlos Portillo Chile Carlos Portillo's profile →
Citations per field
00.5×1.5×2.2×
Carlos Portillo · 1×
Citations per year

Countries citing papers authored by Pablo Ferrada

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Ferrada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pablo Ferrada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pablo Ferrada Line = papers co-authored together Pablo Ferrada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201791
2 201585
3 201553
4 201843
5 201743
6 201842
7 202128
8 202126
9 202024
10 201719
11 202115
12 202012
13 202012
14 201912
15 201611
16 201610
17 202110
18 20189
19 20169
20 20218

About Pablo Ferrada

Pablo Ferrada is a scholar working on Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering, Artificial Intelligence, Environmental Engineering and Atomic and Molecular Physics, and Optics, having authored 53 papers that have together received 669 indexed citations. Recurring topics across this work include Photovoltaic System Optimization Techniques (27 papers), Solar Radiation and Photovoltaics (16 papers), Photovoltaic Systems and Sustainability (14 papers), solar cell performance optimization (13 papers), Solar Thermal and Photovoltaic Systems (9 papers), Silicon and Solar Cell Technologies (9 papers), Thin-Film Transistor Technologies (5 papers) and Semiconductor materials and interfaces (4 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (443 citations), Environmental Engineering (208 citations), Artificial Intelligence (283 citations), Pollution (60 citations) and Electrical and Electronic Engineering (275 citations). Pablo Ferrada has collaborated with scholars based in Chile, Spain and Germany. Frequent co-authors include Aitor Marzo, Edward Fuentealba, Carlos Portillo, Joaquín Alonso-Montesinos, F.J. Batlles, Gabriel López, Jaime Llanos, Enrique Cabrera, C. Parrado and Jorge Rabanal-Arabach. Their work appears in journals such as Renewable Energy, Solar Energy, IEEE Journal of Photovoltaics, Applied Sciences and Energies.

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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