Javier Cubas

1.5k citations
48 papers · 986 · h-index 16

Impact in

Papers in

Javier Cubas

43 papers receiving 958 citations

Peers

Javier Cubas
Comparison fields: 5 of 60
  • Renewable Energy, Sustainability and the Environment 559
  • Aerospace Engineering 240
  • Artificial Intelligence 308
  • Electrical and Electronic Engineering 519
  • Automotive Engineering 83
Replace Piazza Leonardo da Vinci with:
Piazza Leonardo da Vinci Italy
Nikolay Korovkin Russia
A. Adane Algeria
Abhik Kumar Das United States
Michael Giesselmann United States
Rohit Jain United States
Bocheng Zhu China
Yufei Zhou China
P. Balakumar United States
Javier Cubas relative to Piazza Leonardo da Vinci Italy Piazza Leonardo da Vinci's profile →
Citations per field
00.5×10×15×18×
Piazza Leonardo da Vinci · 1×
Citations per year

Countries citing papers authored by Javier Cubas

Since Specialization
Citations

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

Fields of papers citing papers by Javier Cubas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Javier Cubas, 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 Javier Cubas Line = papers co-authored together Javier Cubas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013207
2 2014167
3 201679
4 201553
5 201442
6 201837
7 201736
8 201336
9 202129
10 202126
11 201525
12 201318
13 201817
14 201516
15 202016
16 201515
17 201414
18 202114
19 201712
20 202112

About Javier Cubas

Javier Cubas is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Astronomy and Astrophysics and Automotive Engineering, having authored 48 papers that have together received 986 indexed citations. Recurring topics across this work include Spacecraft Design and Technology (14 papers), Photovoltaic System Optimization Techniques (14 papers), solar cell performance optimization (11 papers), Inertial Sensor and Navigation (11 papers), Advanced Battery Technologies Research (6 papers), Spacecraft Dynamics and Control (6 papers), Solar Radiation and Photovoltaics (5 papers) and Geophysics and Gravity Measurements (5 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (559 citations), Aerospace Engineering (240 citations), Artificial Intelligence (308 citations), Electrical and Electronic Engineering (519 citations) and Automotive Engineering (83 citations). Javier Cubas has collaborated with scholars based in Spain, China and Mozambique. Frequent co-authors include Santiago Pindado, Marta Victoria, Félix Sorribes-Palmer, Elena Roibás-Millán, Angel Pedro Sanz Andres, Alejandro Gómez-San-Juan, F. J. Casas, E. Martínez-González, Anton de Ruiter and R. B. Barreiro. Their work appears in journals such as Measurement, Acta Astronautica, Sensors, Energies and IEEE Transactions on Industry Applications.

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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