C. Pajares

3.9k total citations
89 papers, 1.1k citations indexed

About

C. Pajares is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Mathematical Physics. According to data from OpenAlex, C. Pajares has authored 89 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Nuclear and High Energy Physics, 10 papers in Astronomy and Astrophysics and 10 papers in Mathematical Physics. Recurrent topics in C. Pajares's work include High-Energy Particle Collisions Research (74 papers), Quantum Chromodynamics and Particle Interactions (51 papers) and Particle physics theoretical and experimental studies (46 papers). C. Pajares is often cited by papers focused on High-Energy Particle Collisions Research (74 papers), Quantum Chromodynamics and Particle Interactions (51 papers) and Particle physics theoretical and experimental studies (46 papers). C. Pajares collaborates with scholars based in Spain, Russia and United States. C. Pajares's co-authors include M. A. Braun, J. Dias de Deus, V. Vechernin, N.S. Amelin, N. Armesto, Alfonso V. Ramallo, Rodion Kolevatov, R. P. Scharenberg, B. K. Srivastava and R. A. Vázquez and has published in prestigious journals such as Physical Review Letters, Nuclear Physics B and Physics Letters B.

In The Last Decade

C. Pajares

87 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Pajares Spain 20 1.1k 99 94 61 60 89 1.1k
M. Nardi Italy 17 1.4k 1.3× 105 1.1× 74 0.8× 34 0.6× 50 0.8× 46 1.4k
Marlene Nahrgang France 21 1.4k 1.3× 278 2.8× 76 0.8× 31 0.5× 40 0.7× 71 1.4k
H. Satz Germany 14 905 0.8× 137 1.4× 92 1.0× 35 0.6× 23 0.4× 25 951
Frithjof Karsch United States 11 599 0.5× 142 1.4× 126 1.3× 39 0.6× 14 0.2× 31 686
Y. Hama Brazil 18 1.1k 1.0× 222 2.2× 44 0.5× 38 0.6× 48 0.8× 71 1.1k
Peter F. Kolb United States 11 1.7k 1.6× 298 3.0× 63 0.7× 22 0.4× 103 1.7× 15 1.7k
P. Lévai Hungary 20 2.2k 2.0× 176 1.8× 101 1.1× 68 1.1× 48 0.8× 71 2.3k
Juan M. Torres-Rincón Spain 21 1.2k 1.1× 233 2.4× 231 2.5× 28 0.5× 40 0.7× 58 1.2k
P.V. Ruuskanen Finland 20 1.6k 1.4× 313 3.2× 86 0.9× 34 0.6× 53 0.9× 40 1.6k
J. Sollfrank Germany 15 1.6k 1.5× 277 2.8× 73 0.8× 74 1.2× 92 1.5× 29 1.7k

Countries citing papers authored by C. Pajares

Since Specialization
Citations

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

Fields of papers citing papers by C. Pajares

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Pajares

This figure shows the co-authorship network connecting the top 25 collaborators of C. Pajares. A scholar is included among the top collaborators of C. Pajares 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 C. Pajares. C. Pajares 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.
Mishra, A. N., et al.. (2024). Equation of State of Quark–Gluon Matter in the Clustering-of-Color-Sources Approach. Universe. 10(2). 55–55. 1 indexed citations
2.
García, Jesús Ricardo Alvarado, et al.. (2023). Soft and hard scales of the transverse momentum distribution in the color string percolation model. Journal of Physics G Nuclear and Particle Physics. 50(12). 125105–125105. 3 indexed citations
3.
Pajares, C. & J. E. Ramírez. (2023). On the relation between the soft and hard parts of the transverse momentum distribution. The European Physical Journal A. 59(11). 4 indexed citations
4.
Bautista, Irais, C. Pajares, & J. E. Ramírez. (2020). String percolation in AA and p plus p collisions. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 10 indexed citations
5.
Pajares, C., et al.. (2020). Thermal and hard scales in transverse momentum distributions, fluctuations and entanglement. arXiv (Cornell University). 7 indexed citations
6.
Ramírez, J. E., et al.. (2020). Site-bond percolation solution to preventing the propagation of Phytophthora zoospores on plantations. Physical review. E. 101(3). 32301–32301. 8 indexed citations
7.
Scharenberg, R. P., B. K. Srivastava, & C. Pajares. (2019). Exploring the initial stage of high multiplicity proton-proton collisions by determining the initial temperature of the quark-gluon plasma. Physical review. D. 100(11). 24 indexed citations
8.
Ramírez, J. E. & C. Pajares. (2019). Area covered by disks in small-bounded continuum percolating systems: An application to the string percolation model. Physical review. E. 100(2). 22123–22123. 4 indexed citations
9.
Srivastava, B. K., et al.. (2018). Hot Dense Matter: Deconfinement and Clustering of Color Sources in Nuclear Collisions. Universe. 4(9). 96–96. 3 indexed citations
10.
Braun, M. A., C. Pajares, & V. Vechernin. (2013). Anisotropic flows from colour strings: Monte Carlo simulations. Nuclear Physics A. 906. 14–27. 30 indexed citations
11.
Deus, J. Dias de, M. Esṕırito Santo, M. Pimenta, & C. Pajares. (2006). Percolation Effects in Very-High-Energy Cosmic Rays. Physical Review Letters. 96(16). 162001–162001. 13 indexed citations
12.
Pajares, C.. (2004). Universality of Multiplicity and Transverse Momentum Distributions in the Framework of Percolation of Strings. Acta Physica Polonica B. 35(1). 153. 2 indexed citations
13.
Pajares, C., D. C. Sousa, & R. A. Vázquez. (2001). Consequences of Parton Saturation and String Percolation on the Development of Cosmic Ray Showers. Physical Review Letters. 86(9). 1674–1677. 8 indexed citations
14.
Armesto, N. & C. Pajares. (2000). CENTRAL RAPIDITY DENSITIES OF CHARGED PARTICLES AT RHIC AND LHC. International Journal of Modern Physics A. 15(14). 2019–2051. 40 indexed citations
15.
Pajares, C., D. C. Sousa, & R. A. Vázquez. (2000). Signals of collective behaviour in atmospheric showers. Astroparticle Physics. 12(4). 291–298. 3 indexed citations
16.
Amelin, N.S., M. A. Braun, & C. Pajares. (1994). String fusion and particle production at high energies: Monte-Carlo string fusion model. The European Physical Journal C. 63(3). 507–516. 42 indexed citations
17.
Pajares, C.. (1993). Proceedings of the XXII International Symposium on Multiparticle Dynamics, Santiago de Compostela, Spain, July 13-17, 1992. WORLD SCIENTIFIC eBooks. 2 indexed citations
18.
Braun, M. A. & C. Pajares. (1993). Cross sections and multiplicities in hadron-nucleus collisions with interacting color strings. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 47(1). 114–122. 5 indexed citations
19.
Pajares, C., et al.. (1977). Topological cross section in the perturbative Reggeon calculus. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 16(5). 1359–1364. 5 indexed citations
20.
Gabarro, John J. & C. Pajares. (1973). The leading proton effect in proton-proton collisions. Nuclear Physics B. 64. 493–498. 2 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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