Germán J. de Valcárcel

2.3k citations
122 papers · 1.7k indexed · h-index 22

Germán J. de Valcárcel

117 papers receiving 1.6k citations

Peers

Germán J. de Valcárcel
Comparison fields: 5 of 51
  • Statistical and Nonlinear Physics 541
  • Atomic and Molecular Physics, and Optics 1.3k
  • Computer Networks and Communications 688
  • Artificial Intelligence 293
  • Electrical and Electronic Engineering 473
Replace Eugenio Roldán with:
Eugenio Roldán Spain
Chil-Min Kim South Korea
A. Gavrielides United States
G. P. Puccioni Italy
J. Javaloyes Spain
Jung-Wan Ryu South Korea
O. Akimoto Japan
W. J. Firth United Kingdom
Joshua C. Bienfang United States
A. Tallet France
Germán J. de Valcárcel relative to Eugenio Roldán Spain Eugenio Roldán's profile →
Citations per field
00.5×10×15.5×
Eugenio Roldán · 1×
Citations per year

Countries citing papers authored by Germán J. de Valcárcel

Since Specialization
Citations

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

Fields of papers citing papers by Germán J. de Valcárcel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Germán J. de Valcárcel. 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 Germán J. de Valcárcel. The network helps show where Germán J. de Valcárcel may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20232
2 20232
3 202028
4 20182
5
Two-photon absorption
20090
6 200913
7 20085
8 20076
9
Semiclassical theory of amplification and lasing
20065
10 20062
11 200648
12 200524
13 20051
14 20036
15 200339
16 200217
17 2002170
18 200014
19 19974
20 199610

About Germán J. de Valcárcel

Germán J. de Valcárcel is a scholar working on Atomic and Molecular Physics, and Optics, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 122 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Fiber Laser Technologies (64 papers), Nonlinear Dynamics and Pattern Formation (58 papers), Quantum optics and atomic interactions (33 papers), Nonlinear Photonic Systems (23 papers), Laser-Matter Interactions and Applications (22 papers), Quantum Information and Cryptography (17 papers), Photonic and Optical Devices (15 papers) and Mechanical and Optical Resonators (15 papers). The work is most often cited by research in Statistical and Nonlinear Physics (541 citations), Atomic and Molecular Physics, and Optics (1.3k citations) and Computer Networks and Communications (688 citations). Germán J. de Valcárcel has collaborated with scholars based in Spain, Germany and Italy. Frequent co-authors include Eugenio Roldán, Kęstutis Staliūnas, Stefano Longhi, R. Vilaseca, V. J. Sánchez-Morcillo, Giuseppe Patera, Claude Fabre, Carlos Navarrete–Benlloch, Nicolas Treps and R. Herrero. Their work appears in journals such as Physical Review A, Optics Communications, Physical Review Letters, Journal of the Optical Society of America B and Journal of Modern Optics.

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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