Alejandro Datas

49 papers receiving 1.3k citations

Peers

Alejandro Datas
Comparison fields: 5 of 54
  • Civil and Structural Engineering 834
  • Statistical and Nonlinear Physics 443
  • Atomic and Molecular Physics, and Optics 400
  • Electrical and Electronic Engineering 652
  • Renewable Energy, Sustainability and the Environment 182
Replace Shanhe Su with:
Shanhe Su China
Keunhan Park United States
Bihong Lin China
Zhanghua Wu China
Carlos Algora Spain
Colin C. Kelsall United States
Guoxing Lin China
V. M. Andreev Russia
Andrew Rohskopf United States
Jiongzhi Zheng China
Alejandro Datas relative to Shanhe Su China Shanhe Su's profile →
Citations per field
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Citations per year

Countries citing papers authored by Alejandro Datas

Since Specialization
Citations

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

Fields of papers citing papers by Alejandro Datas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Alejandro Datas, 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 Alejandro Datas Line = papers co-authored together Alejandro Datas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016161
2 2016121
3 201675
4 201259
5 201058
6 201458
7 201956
8 201256
9 201556
10 201352
11 202039
12 201939
13 201438
14 202237
15 201932
16 201726
17 201724
18 201623
19 201823
20 202223

About Alejandro Datas

Alejandro Datas is a scholar working on Statistical and Nonlinear Physics, Civil and Structural Engineering, Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics, having authored 49 papers that have together received 1.3k indexed citations. Recurring topics across this work include Thermal Radiation and Cooling Technologies (34 papers), Advanced Thermodynamics and Statistical Mechanics (21 papers), solar cell performance optimization (20 papers), Nanowire Synthesis and Applications (8 papers), Solar Thermal and Photovoltaic Systems (8 papers), Semiconductor Quantum Structures and Devices (6 papers), Quantum Electrodynamics and Casimir Effect (5 papers) and Advanced Thermoelectric Materials and Devices (5 papers). The work is most often cited by research in Civil and Structural Engineering (834 citations), Statistical and Nonlinear Physics (443 citations), Atomic and Molecular Physics, and Optics (400 citations), Electrical and Electronic Engineering (652 citations) and Renewable Energy, Sustainability and the Environment (182 citations). Alejandro Datas has collaborated with scholars based in Spain, Italy and Japan. Frequent co-authors include Antonio Martı́, Carlos Algora, Carlos del Cañizo, Rodolphe Vaillon, Alba Ramos, A. Ĺuque, Esther López, Ananthanarayanan Veeraragavan, P.G. Linares and Donald L. Chubb. Their work appears in journals such as Solar Energy Materials and Solar Cells, Progress in Photovoltaics Research and Applications, Solar Energy, Applied Energy and Applied Physics Letters.

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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