Daniel Alonso

3.9k total citations · 2 hit papers
64 papers, 2.7k citations indexed

About

Daniel Alonso is a scholar working on Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Daniel Alonso has authored 64 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Atomic and Molecular Physics, and Optics, 35 papers in Statistical and Nonlinear Physics and 31 papers in Artificial Intelligence. Recurrent topics in Daniel Alonso's work include Quantum Information and Cryptography (31 papers), Advanced Thermodynamics and Statistical Mechanics (23 papers) and Quantum chaos and dynamical systems (14 papers). Daniel Alonso is often cited by papers focused on Quantum Information and Cryptography (31 papers), Advanced Thermodynamics and Statistical Mechanics (23 papers) and Quantum chaos and dynamical systems (14 papers). Daniel Alonso collaborates with scholars based in Spain, Belgium and United Kingdom. Daniel Alonso's co-authors include Inés de Vega, Luis Alfonso Correa, José P. Palao, Gerardo Adesso, Pierre Gaspard, J. G. Muga, Xi Chen, A. Ruschhaupt, A. Ruiz and Giulio Casati and has published in prestigious journals such as Physical Review Letters, Advanced Materials and The Journal of Chemical Physics.

In The Last Decade

Daniel Alonso

62 papers receiving 2.6k citations

Hit Papers

Dynamics of non-Markovian open quantum systems 2017 2026 2020 2023 2017 2023 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Alonso Spain 24 1.9k 1.4k 1.2k 330 244 64 2.7k
Upendra Harbola United States 20 1.5k 0.8× 515 0.4× 1.5k 1.2× 243 0.7× 351 1.4× 68 2.1k
Kilian Singer Germany 26 2.7k 1.4× 1.4k 1.0× 1.3k 1.1× 252 0.8× 143 0.6× 51 3.3k
Özgür E. Müstecaplıoğlu Türkiye 27 1.8k 0.9× 1.0k 0.8× 964 0.8× 89 0.3× 220 0.9× 140 2.2k
Sigmund Kohler Germany 29 2.7k 1.4× 1.1k 0.8× 637 0.5× 343 1.0× 824 3.4× 89 3.0k
M. P. Blencowe United States 28 2.7k 1.4× 965 0.7× 719 0.6× 343 1.0× 1.1k 4.4× 70 3.4k
Gabriele De Chiara United Kingdom 34 3.4k 1.7× 2.0k 1.5× 1.5k 1.3× 145 0.4× 149 0.6× 106 3.9k
X. X. Yi China 33 3.8k 1.9× 3.0k 2.2× 686 0.6× 81 0.2× 592 2.4× 266 4.1k
Tobias Brandes Germany 41 5.2k 2.7× 2.6k 1.9× 1.5k 1.2× 348 1.1× 1.2k 4.9× 153 5.8k
Paolo Solinas Italy 27 1.5k 0.8× 806 0.6× 676 0.6× 202 0.6× 197 0.8× 65 1.9k
Stefan Scheel Germany 32 3.3k 1.7× 1.4k 1.0× 543 0.4× 354 1.1× 432 1.8× 128 3.8k

Countries citing papers authored by Daniel Alonso

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Alonso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Alonso

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Alonso. A scholar is included among the top collaborators of Daniel Alonso 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 Daniel Alonso. Daniel Alonso 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
1.
Palao, José P., et al.. (2025). Accurate heat currents via reorganized master equation. Physical review. E. 112(2). 24109–24109.
2.
Zheng, Teng, Marcin Runowski, Inocencio R. Martín, et al.. (2023). Mechanoluminescence and Photoluminescence Heterojunction for Superior Multimode Sensing Platform of Friction, Force, Pressure, and Temperature in Fibers and 3D‐Printed Polymers. Advanced Materials. 35(40). e2304140–e2304140. 132 indexed citations breakdown →
3.
Esparcia, Carlos, A. J. Díaz, & Daniel Alonso. (2023). How important is green awareness in energy investment decisions? An environmentally-based rebalancing portfolio study. Energy Economics. 128. 107174–107174. 9 indexed citations
4.
Palao, José P., et al.. (2020). Three-qubit refrigerator with two-body interactions. Physical review. E. 101(1). 12109–12109. 33 indexed citations
5.
Ruiz, A., et al.. (2019). Delocalization and heat transport in multidimensional trapped ion systems. Physical review. E. 99(6). 62105–62105. 4 indexed citations
6.
Palao, José P., et al.. (2019). Classical emulation of quantum-coherent thermal machines. Physical review. E. 99(6). 62102–62102. 18 indexed citations
7.
Ruiz, A., et al.. (2015). Quantum correlations and energy currents across three dissipative oscillators. Physical Review E. 91(6). 62123–62123. 15 indexed citations
8.
Correa, Luis Alfonso, José P. Palao, Gerardo Adesso, & Daniel Alonso. (2014). Optimal performance of endoreversible quantum refrigerators. Physical Review E. 90(6). 62124–62124. 42 indexed citations
9.
Alonso, Daniel, S. Brouard, & D. Sokolovski. (2014). Quantum decoherence of an anharmonic oscillator monitored by a Bose-Einstein condensate. Physical Review A. 90(3). 2 indexed citations
10.
Correa, Luis Alfonso, José P. Palao, Daniel Alonso, & Gerardo Adesso. (2014). Quantum-enhanced absorption refrigerators. Scientific Reports. 4(1). 3949–3949. 192 indexed citations
11.
Correa, Luis Alfonso, et al.. (2013). Gaussian tripartite entanglement out of equilibrium. Physical Review A. 88(1). 14 indexed citations
12.
Ruschhaupt, A., Xi Chen, Daniel Alonso, & J. G. Muga. (2012). Optimally robust shortcuts to population inversion in two-level quantum systems. New Journal of Physics. 14(9). 93040–93040. 260 indexed citations
13.
Arizaga, Juan, et al.. (2009). Laguna de Badina de Escudera: características de la comunidad de aves paseriformes. 1–94. 2 indexed citations
14.
Alonso, Daniel, et al.. (2008). Escape of photons from two fixed extreme Reissner-Nordström black holes. Physical review. D. Particles, fields, gravitation, and cosmology. 78(10). 8 indexed citations
15.
Alonso, Daniel & Inés de Vega. (2007). Hierarchy of equations of multiple-time correlation functions. Physical Review A. 75(5). 26 indexed citations
16.
Leavens, C.R., I. Puerto Giménez, Daniel Alonso, & R. Sala Mayato. (2006). General N-box problem. Physics Letters A. 359(5). 416–423. 4 indexed citations
17.
Lahoz, F.J., Inocencio R. Martín, & Daniel Alonso. (2005). Theoretical analysis of the photon avalanche dynamics in Ho3+-Yb3+ codoped systems under near-infrared excitation. Physical Review B. 71(4). 16 indexed citations
18.
Alonso, Daniel & Inés de Vega. (2005). Multiple-Time Correlation Functions for Non-Markovian Interaction: Beyond the Quantum Regression Theorem. Physical Review Letters. 94(20). 200403–200403. 43 indexed citations
19.
Alonso, Daniel, A. Ruiz, & Inés de Vega. (2003). Transport in polygonal billiards. Physica D Nonlinear Phenomena. 187(1-4). 184–199. 19 indexed citations
20.
Alonso, Daniel, A. Ruiz, & Inés de Vega. (2002). Polygonal billiards and transport: Diffusion and heat conduction. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 66(6). 66131–66131. 44 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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