Iván García

3.4k total citations
157 papers, 2.4k citations indexed

About

Iván García is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Biomedical Engineering. According to data from OpenAlex, Iván García has authored 157 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 144 papers in Electrical and Electronic Engineering, 54 papers in Atomic and Molecular Physics, and Optics and 35 papers in Biomedical Engineering. Recurrent topics in Iván García's work include solar cell performance optimization (128 papers), Chalcogenide Semiconductor Thin Films (78 papers) and Semiconductor Quantum Structures and Devices (43 papers). Iván García is often cited by papers focused on solar cell performance optimization (128 papers), Chalcogenide Semiconductor Thin Films (78 papers) and Semiconductor Quantum Structures and Devices (43 papers). Iván García collaborates with scholars based in Spain, United States and United Kingdom. Iván García's co-authors include Ignacio Rey‐Stolle, Carlos Algora, John F. Geisz, Daniel J. Friedman, Myles A. Steiner, Sarah Kurtz, A. Duda, B. Galiana, Ryan M. France and Enrique Barrigón and has published in prestigious journals such as Nature Communications, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Iván García

150 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iván García Spain 25 2.3k 905 464 376 287 157 2.4k
Eduard Oliva Germany 17 1.6k 0.7× 599 0.7× 341 0.7× 264 0.7× 253 0.9× 45 1.7k
Andreas W. Bett Germany 21 1.9k 0.8× 648 0.7× 312 0.7× 280 0.7× 454 1.6× 86 2.0k
M. W. Wanlass United States 24 2.0k 0.9× 937 1.0× 390 0.8× 473 1.3× 284 1.0× 132 2.3k
Geoffrey S. Kinsey United States 23 2.7k 1.2× 1.1k 1.2× 394 0.8× 484 1.3× 673 2.3× 80 3.0k
Shanhui Fan United States 13 854 0.4× 1.1k 1.2× 308 0.7× 233 0.6× 150 0.5× 23 1.8k
Sander A. Mann United States 23 827 0.4× 636 0.7× 542 1.2× 552 1.5× 65 0.2× 41 1.6k
Oliver Höhn Germany 25 1.8k 0.8× 582 0.6× 543 1.2× 404 1.1× 194 0.7× 126 2.1k
Wilton J. M. Kort-Kamp United States 20 567 0.2× 636 0.7× 347 0.7× 320 0.9× 285 1.0× 61 1.7k
I. Tobı́as Spain 21 912 0.4× 517 0.6× 374 0.8× 463 1.2× 166 0.6× 60 1.3k
Vincent Aimez Canada 21 1.0k 0.5× 584 0.6× 247 0.5× 159 0.4× 126 0.4× 122 1.2k

Countries citing papers authored by Iván García

Since Specialization
Citations

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

Fields of papers citing papers by Iván García

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iván García

This figure shows the co-authorship network connecting the top 25 collaborators of Iván García. A scholar is included among the top collaborators of Iván García 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 Iván García. Iván García 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
3.
García, Iván, et al.. (2025). Review of intrinsic vs. extrinsic recombination in germanium thermophotovoltaic converters. Solar Energy Materials and Solar Cells. 291. 113741–113741. 3 indexed citations
4.
Pérez-Liva, Mailyn, María Alonso de Leciñana, María Gutiérrez‐Fernández, et al.. (2025). Dual photoacoustic/ultrasound technologies for preclinical research: current status and future trends. Physics in Medicine and Biology. 70(7). 07TR01–07TR01. 3 indexed citations
5.
Rey‐Stolle, Ignacio, et al.. (2024). Defect detection in III-V multijunction solar cells using reverse-bias stress tests. Solar Energy Materials and Solar Cells. 280. 113286–113286.
6.
García‐Tabarés, Elisa, et al.. (2024). Arsenic Diffusion in MOVPE‐Grown GaAs/Ge Epitaxial Structures. Advanced Electronic Materials. 10(9). 3 indexed citations
7.
Michael, Philip C., T. Golfinopoulos, Ariel Kaplan, et al.. (2024). Supercritical Helium Flow Calorimetry at the MIT Superconducting Magnet Test Facility. IEEE Transactions on Applied Superconductivity. 35(5). 1–6. 1 indexed citations
8.
García, Iván, et al.. (2024). Photovoltaic laser power converters producing 21 W/cm2 at a conversion efficiency of 66.5%. Cell Reports Physical Science. 5(11). 102263–102263. 3 indexed citations
9.
Blanco, E., et al.. (2023). Refractive indices and extinction coefficients of p-type doped Germanium wafers for photovoltaic and thermophotovoltaic devices. Solar Energy Materials and Solar Cells. 264. 112612–112612. 3 indexed citations
10.
11.
Mohamed, Mohamed A., Iván García, S.J. Wukitch, et al.. (2023). High frequency, high power ICRF source for fusion plasmas. AIP conference proceedings. 2984. 50001–50001. 2 indexed citations
12.
Depauw, Valérie, Clément Porret, E. Vecchio, et al.. (2022). Wafer‐scale Ge epitaxial foils grown at high growth rates and released from porous substrates for triple‐junction solar cells. Progress in Photovoltaics Research and Applications. 31(12). 1315–1328. 11 indexed citations
13.
Gabás, M., Efraín Ochoa-Martínez, Laura Barrutia, et al.. (2020). Doping effects on the composition, electric and optical properties of MBE-grown 1.1 eV GaNAsSb layers. Semiconductor Science and Technology. 35(11). 115022–115022.
14.
Barrutia, Laura, Mario Ochoa, M. Gabás, et al.. (2019). On the Use of Graphene to Improve the Performance of Concentrator III-V Multijunction Solar Cells. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 8 indexed citations
15.
García, Iván, et al.. (2019). Ge virtual substrates for high efficiency III-V solar cells: \napplications, potential and challenges. UPM Digital Archive (Technical University of Madrid). 6 indexed citations
16.
Ripalda, J. M., Jerónimo Buencuerpo, & Iván García. (2018). Solar cell designs by maximizing energy production based on machine learning clustering of spectral variations. Nature Communications. 9(1). 5126–5126. 35 indexed citations
17.
Algora, Carlos, et al.. (2008). Electroluminescence characterization for III-V multi-junction solar cells. Photovoltaic Specialists Conference. 1 indexed citations
18.
Algora, Carlos, Ignacio Rey‐Stolle, B. Galiana, et al.. (2006). Célulares solares de semiconductores III-V para la generaciónde electricidad a costes competitivos.. 20(1). 32–38. 1 indexed citations
19.
Fernández, Luis Sánchez, et al.. (2006). New Algorithms for Application of Evolution Rules based on Applicability Benchmarks.. 30(5). 94–102. 9 indexed citations
20.
Fasel, D., et al.. (1998). New design for the anode power supply of a gyrotron. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 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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