J. Camacho

3.5k total citations
82 papers, 2.7k citations indexed

About

J. Camacho is a scholar working on Materials Chemistry, Biomedical Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, J. Camacho has authored 82 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Materials Chemistry, 21 papers in Biomedical Engineering and 18 papers in Statistical and Nonlinear Physics. Recurrent topics in J. Camacho's work include Advanced Thermodynamics and Statistical Mechanics (14 papers), Evolutionary Game Theory and Cooperation (13 papers) and Thermal properties of materials (11 papers). J. Camacho is often cited by papers focused on Advanced Thermodynamics and Statistical Mechanics (14 papers), Evolutionary Game Theory and Cooperation (13 papers) and Thermal properties of materials (11 papers). J. Camacho collaborates with scholars based in Spain, United States and Germany. J. Camacho's co-authors include Jordi Faraudo, Luı́s A. Nunes Amaral, Roger Guimerà, Daniel B. Stouffer, Jordi S. Andreu, J. Bafaluy, Gemma De las Cuevas, Vicenç Méndez, David Jou and Wenxin Jiang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and The Journal of Chemical Physics.

In The Last Decade

J. Camacho

79 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Camacho Spain 30 783 666 392 381 365 82 2.7k
Mitsugu Matsushita Japan 32 898 1.1× 716 1.1× 137 0.3× 223 0.6× 321 0.9× 134 4.2k
Michel Droz Switzerland 33 797 1.0× 383 0.6× 105 0.3× 359 0.9× 1.2k 3.4× 139 4.4k
Takashi Amemiya Japan 26 404 0.5× 351 0.5× 207 0.5× 123 0.3× 293 0.8× 183 2.5k
Nicolas Vandewalle Belgium 40 1.2k 1.5× 901 1.4× 72 0.2× 90 0.2× 879 2.4× 276 5.8k
Julyan H. E. Cartwright Spain 34 611 0.8× 724 1.1× 227 0.6× 24 0.1× 445 1.2× 155 4.0k
Peter J. Yunker United States 22 1.3k 1.7× 1.1k 1.7× 90 0.2× 134 0.4× 99 0.3× 58 3.6k
T. J. Sluckin United Kingdom 35 1.4k 1.7× 695 1.0× 138 0.4× 56 0.1× 142 0.4× 178 4.2k
Avraham Be’er Israel 23 422 0.5× 881 1.3× 68 0.2× 84 0.2× 275 0.8× 48 2.4k
M. Moreau France 31 510 0.7× 349 0.5× 76 0.2× 58 0.2× 1.0k 2.8× 175 3.1k
Rafael A. Barrio Mexico 25 434 0.6× 223 0.3× 72 0.2× 74 0.2× 273 0.7× 112 2.1k

Countries citing papers authored by J. Camacho

Since Specialization
Citations

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

Fields of papers citing papers by J. Camacho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Camacho

This figure shows the co-authorship network connecting the top 25 collaborators of J. Camacho. A scholar is included among the top collaborators of J. Camacho 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 J. Camacho. J. Camacho 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.
Martínez, Laura, et al.. (2025). Navigating the New Normal: Digital Proximity and JIT in Small Business Transformation. SHS Web of Conferences. 211. 3003–3003.
2.
Camacho, J., et al.. (2025). Optimized Preparation of Segmentally Labeled RNAs for NMR Structure Determination. Journal of Molecular Biology. 437(10). 169073–169073. 3 indexed citations
3.
Leong, Sim Siong, et al.. (2024). Influences of fluid and system design parameters on hydrodynamically driven low gradient magnetic separation of magnetic nanoparticles. Chemical Engineering and Processing - Process Intensification. 199. 109768–109768. 3 indexed citations
4.
Bafaluy, J., et al.. (2024). Microscopic origin of heat vorticity in quasi-ballistic phonon transport. International Journal of Heat and Mass Transfer. 226. 125464–125464. 4 indexed citations
5.
Beardo, Albert, J. Bafaluy, Amirkoushyar Ziabari, et al.. (2022). Hydrodynamic thermal transport in silicon at temperatures ranging from 100 to 300 K. Physical review. B.. 105(16). 11 indexed citations
6.
Beardo, Albert, Joshua L. Knobloch, J. Bafaluy, et al.. (2021). A General and Predictive Understanding of Thermal Transport from 1D- and 2D-Confined Nanostructures: Theory and Experiment. ACS Nano. 15(8). 13019–13030. 32 indexed citations
7.
Beardo, Albert, Miquel López-Suárez, Luis A. Pérez, et al.. (2021). Observation of second sound in a rapidly varying temperature field in Ge. Dipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona). 53 indexed citations
8.
Torres, Pol, Amirkoushyar Ziabari, Àlvar Torelló, et al.. (2018). Emergence of hydrodynamic heat transport in semiconductors at the nanoscale. Physical Review Materials. 2(7). 47 indexed citations
9.
Kalashnikov, Vyacheslav V., et al.. (2013). Partially Mixed Duopoly and Oligopoly: Consistent Conjectural Variations Equilibrium (CCVE). Part 1. 3 indexed citations
10.
Kalashnikov, Vyacheslav V., et al.. (2013). Partially Mixed Duopoly and Oligopoly: Consistent Conjectural Variations Equilibrium (CCVE). Part 2. 2 indexed citations
11.
Camacho, J., et al.. (2012). Analytical models for well-mixed populations of cooperators and defectors under limiting resources. Physical Review E. 85(6). 66112–66112. 8 indexed citations
12.
Martínez‐Vilalta, Jordi, et al.. (2012). Spatial distribution and packing of xylem conduits. American Journal of Botany. 99(7). 1189–1196. 55 indexed citations
13.
Andreu, Jordi S., et al.. (2011). Simple analytical model for the magnetophoretic separation of superparamagnetic dispersions in a uniform magnetic gradient. Physical Review E. 84(2). 21402–21402. 70 indexed citations
14.
Stouffer, Daniel B., J. Camacho, & Luı́s A. Nunes Amaral. (2006). A robust measure of food web intervality. Proceedings of the National Academy of Sciences. 103(50). 19015–19020. 88 indexed citations
15.
Camacho, J., I. Loa, A. Cantarero, et al.. (2003). Pressure dependence of optical phonons in ZnCdSe alloys. physica status solidi (b). 235(2). 432–436. 8 indexed citations
16.
Camacho, J., P. V. Santos, F. Alsina, et al.. (2003). Modulation of the electronic properties of GaN films by surface acoustic waves. Journal of Applied Physics. 94(3). 1892–1897. 14 indexed citations
17.
Popović, Z. V., et al.. (2000). Raman scattering and infrared reflectivity in [(InP)5(In0.49Ga0.51As)8]30 superlattices. Journal of Applied Physics. 88(11). 6382–6387. 12 indexed citations
18.
Compte, Albert & J. Camacho. (1997). Lévy statistics in Taylor dispersion. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 56(5). 5445–5449. 4 indexed citations
19.
Camacho, J. & Howard Brenner. (1995). On Convection Induced by Molecular Diffusion. Industrial & Engineering Chemistry Research. 34(10). 3326–3335. 15 indexed citations
20.
Camacho, J.. (1993). Thermodynamics of Taylor dispersion: Constitutive equations. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 47(2). 1049–1053. 20 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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