G. Rivero

45 papers receiving 912 citations

Peers

G. Rivero
Comparison fields: 5 of 72
  • Electronic, Optical and Magnetic Materials 393
  • Atomic and Molecular Physics, and Optics 399
  • Biomaterials 162
  • Mechanical Engineering 380
  • Materials Chemistry 278
Replace Byong Sun Chun with:
Byong Sun Chun South Korea
Ivan Soldatov Germany
I. Orue Spain
Xiaoxing Cheng United States
Christian Wong Singapore
Andreas Heidelberg Germany
Andrew P. Warren United States
V. L. Sobolev Ukraine
Defeng Guo China
G. Rivero relative to Byong Sun Chun South Korea Byong Sun Chun's profile →
Citations per field
00.5×1.5×
Byong Sun Chun · 1×
Citations per year

Countries citing papers authored by G. Rivero

Since Specialization
Citations

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

Fields of papers citing papers by G. Rivero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012263
2 198994
3 200973
4 199148
5 202338
6 198128
7 199128
8 200625
9 199024
10 199023
11 199421
12 199020
13 198120
14 202419
15 199119
16 199217
17 199415
18 199114
19 198313
20 199912

About G. Rivero

G. Rivero is a scholar working on Mechanical Engineering, Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials, Condensed Matter Physics and Cognitive Neuroscience, having authored 47 papers that have together received 936 indexed citations. Recurring topics across this work include Metallic Glasses and Amorphous Alloys (27 papers), Magnetic Properties and Applications (18 papers), Magnetic properties of thin films (18 papers), Theoretical and Computational Physics (10 papers), Functional Brain Connectivity Studies (6 papers), Atomic and Subatomic Physics Research (4 papers), EEG and Brain-Computer Interfaces (4 papers) and Magnetic Properties of Alloys (3 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (393 citations), Atomic and Molecular Physics, and Optics (399 citations), Biomaterials (162 citations), Mechanical Engineering (380 citations) and Materials Chemistry (278 citations). G. Rivero has collaborated with scholars based in Spain, United Kingdom and Germany. Frequent co-authors include A. Hernando, M. Vázquez, M. Multigner, J.M. Barandiarán, R. Costo, Yurena Luengo, Patricia de la Presa, M. P. Morales, J. González and José Manuel Suárez Riveiro. Their work appears in journals such as Journal of Magnetism and Magnetic Materials, IEEE Transactions on Magnetics, Journal of Applied Physics, Physical review. B, Condensed matter and eLife.

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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