Javier Romero-Vivas

31 total papers · 598 total citations
23 papers, 494 citations indexed

About

Javier Romero-Vivas is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Javier Romero-Vivas has authored 23 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Atomic and Molecular Physics, and Optics, 17 papers in Electrical and Electronic Engineering and 6 papers in Biomedical Engineering. Recurrent topics in Javier Romero-Vivas's work include Photonic and Optical Devices (8 papers), Magnetic properties of thin films (7 papers) and Photonic Crystals and Applications (6 papers). Javier Romero-Vivas is often cited by papers focused on Photonic and Optical Devices (8 papers), Magnetic properties of thin films (7 papers) and Photonic Crystals and Applications (6 papers). Javier Romero-Vivas collaborates with scholars based in Ireland, Poland and Germany. Javier Romero-Vivas's co-authors include Maciej Krawczyk, Yan Pennec, Yu. S. Dadoenkova, I. L. Lyubchanskiĭ, N. N. Dadoenkova, Andrei V. Lavrinenko, Dmitry N. Chigrin, Boris Gralak, Wojciech Śmigaj and Mathias Vanwolleghem and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Physical Review B.

In The Last Decade

Javier Romero-Vivas

23 papers receiving 475 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Javier Romero-Vivas 419 295 121 83 57 23 494
B. Pradarutti 237 0.6× 439 1.5× 38 0.3× 110 1.3× 37 0.6× 34 524
S. J. Licht 196 0.5× 336 1.1× 82 0.7× 48 0.6× 39 0.7× 22 416
Tzong-Jer Yang 421 1.0× 308 1.0× 110 0.9× 172 2.1× 17 0.3× 19 470
Yusui Nakamura 342 0.8× 386 1.3× 60 0.5× 113 1.4× 35 0.6× 33 465
T. Charvolin 313 0.7× 287 1.0× 103 0.9× 131 1.6× 99 1.7× 32 454
J. P. Zhang 297 0.7× 312 1.1× 40 0.3× 84 1.0× 83 1.5× 17 478
Jae-Eun Kim 289 0.7× 276 0.9× 166 1.4× 86 1.0× 12 0.2× 20 424
In-Kag Hwang 287 0.7× 360 1.2× 26 0.2× 78 0.9× 54 0.9× 36 444
M. I. Lyubchanskii 374 0.9× 279 0.9× 95 0.8× 86 1.0× 12 0.2× 13 425
Tao Liu 232 0.6× 198 0.7× 97 0.8× 139 1.7× 11 0.2× 20 414

Countries citing papers authored by Javier Romero-Vivas

Since Specialization
Citations

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

Fields of papers citing papers by Javier Romero-Vivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Romero-Vivas

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

All Works

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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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