F. Nieto

930 total citations
81 papers, 786 citations indexed

About

F. Nieto is a scholar working on Condensed Matter Physics, Materials Chemistry and Mathematical Physics. According to data from OpenAlex, F. Nieto has authored 81 papers receiving a total of 786 indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Condensed Matter Physics, 50 papers in Materials Chemistry and 31 papers in Mathematical Physics. Recurrent topics in F. Nieto's work include Theoretical and Computational Physics (66 papers), Material Dynamics and Properties (46 papers) and Stochastic processes and statistical mechanics (31 papers). F. Nieto is often cited by papers focused on Theoretical and Computational Physics (66 papers), Material Dynamics and Properties (46 papers) and Stochastic processes and statistical mechanics (31 papers). F. Nieto collaborates with scholars based in Argentina, Germany and Chile. F. Nieto's co-authors include A. J. Ramírez-Pastor, C. Uebing, Alexander Tarasenko, Eugenio E. Vogel, V. D. Pereyra, L. Jastrabı́k, F. Romá, O. A. Pinto, M. Cecilia Giménez and G. Zgrablich and has published in prestigious journals such as The Journal of Chemical Physics, Physical review. B, Condensed matter and Physical Review B.

In The Last Decade

F. Nieto

78 papers receiving 771 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F. Nieto Argentina 15 653 427 288 153 145 81 786
Yoav Barshad United States 6 579 0.9× 474 1.1× 273 0.9× 173 1.1× 274 1.9× 6 1.0k
F. Romá Argentina 18 499 0.8× 388 0.9× 93 0.3× 58 0.4× 142 1.0× 60 724
Tiago J. Oliveira Brazil 16 437 0.7× 167 0.4× 267 0.9× 76 0.5× 60 0.4× 45 555
R. Michael Brady United Kingdom 3 369 0.6× 208 0.5× 137 0.5× 59 0.4× 68 0.5× 4 563
H. O. Mártin Argentina 12 203 0.3× 120 0.3× 113 0.4× 47 0.3× 89 0.6× 62 413
J. W. Evans United States 12 412 0.6× 309 0.7× 87 0.3× 405 2.6× 59 0.4× 15 783
Ümit Akıncı Türkiye 21 706 1.1× 545 1.3× 64 0.2× 34 0.2× 193 1.3× 75 1.1k
Juan J. Alonso Spain 15 334 0.5× 499 1.2× 61 0.2× 17 0.1× 60 0.4× 45 878
D Elderfield United Kingdom 13 418 0.6× 227 0.5× 74 0.3× 12 0.1× 152 1.0× 28 475
Jürgen F. Stilck Brazil 14 382 0.6× 304 0.7× 113 0.4× 5 0.0× 92 0.6× 58 681

Countries citing papers authored by F. Nieto

Since Specialization
Citations

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

Fields of papers citing papers by F. Nieto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Nieto

This figure shows the co-authorship network connecting the top 25 collaborators of F. Nieto. A scholar is included among the top collaborators of F. Nieto 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 F. Nieto. F. Nieto 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.
Nieto, F. & Luis S. Mayorga. (2025). Re‐Visiting the Intracellular Pathway of Transferrin on Board of a Mathematical Simulation. Traffic. 26(4-6). e70006–e70006.
2.
Nieto, F., et al.. (2022). Kinetics of antigen cross-presentation assessed experimentally and by a model of the complete endomembrane system. Cellular Immunology. 382. 104636–104636. 1 indexed citations
3.
Nieto, F., et al.. (2020). From cartoons to quantitative models in Golgi transport. Biology of the Cell. 113(3). 146–164. 3 indexed citations
4.
Cerrolaza, M., et al.. (2018). COMPUTATION OF THE DYNAMIC COMPRESSION EFFECTS IN SPINE DISCS USING INTEGRAL METHODS. Journal of Mechanics in Medicine and Biology. 18(5). 1750103–1750103. 1 indexed citations
5.
Vogel, Eugenio E., et al.. (2015). Site trimer percolation on square lattices. Physical Review E. 92(1). 12129–12129. 6 indexed citations
6.
Ramírez-Pastor, A. J., et al.. (2011). Random sequential adsorption of polyatomic species on fractal substrates. Physical Review E. 83(5). 51119–51119. 1 indexed citations
7.
Pinto, O. A., et al.. (2011). Lattice-gas model of nonadditive interacting particles on nanotube bundles. The Journal of Chemical Physics. 134(6). 64702–64702. 8 indexed citations
8.
Pinto, O. A., F. Nieto, & A. J. Ramírez-Pastor. (2011). Statistical thermodynamics of straight rigid rods with nonadditive lateral interactions: Theory and Monte Carlo simulations. Physical Review E. 84(6). 61142–61142. 4 indexed citations
9.
Giménez, M. Cecilia, F. Nieto, & A. J. Ramírez-Pastor. (2006). Surface order-disorder phase transitions and percolation. The Journal of Chemical Physics. 125(18). 184707–184707. 11 indexed citations
10.
Nieto, F., et al.. (2005). Site-bond percolation of polyatomic species. Physical Review E. 72(6). 66129–66129. 20 indexed citations
11.
Ramírez-Pastor, A. J., et al.. (2003). Dependence of the percolation threshold on the size of the percolating species. Physica A Statistical Mechanics and its Applications. 327(1-2). 71–75. 48 indexed citations
12.
Vogel, Eugenio E., A. J. Ramírez-Pastor, & F. Nieto. (2002). Detailed structure of configuration space and its importance on ergodic separation of ±J Ising lattices. Physica A Statistical Mechanics and its Applications. 310(3-4). 384–396. 6 indexed citations
13.
Ramírez-Pastor, A. J., F. Nieto, Sergio Contreras, & Eugenio E. Vogel. (2000). Site order parameters for ±J Ising lattices. Physica A Statistical Mechanics and its Applications. 283(1-2). 94–99. 5 indexed citations
14.
Nieto, F., Alexander Tarasenko, & C. Uebing. (2000). Adsorption and diffusion of repulsively interacting particles on a triangular lattice. Physical Chemistry Chemical Physics. 2(15). 3453–3459. 12 indexed citations
15.
Tarasenko, Alexander, F. Nieto, L. Jastrabı́k, & C. Uebing. (2000). The influence of adatom diffusion on coverage and emission current fluctuations. Microelectronics Reliability. 40(12). 2023–2031. 1 indexed citations
16.
Nieto, F., et al.. (1999). Collective diffusion on strongly correlated heterogeneous surfaces. Surface Science. 423(2-3). 256–264. 16 indexed citations
17.
Vogel, Eugenio E., et al.. (1998). Bond percolation in±JIsing square lattices diluted by frustration. Physical review. B, Condensed matter. 58(13). 8475–8480. 16 indexed citations
18.
Nieto, F., Alexander Tarasenko, & C. Uebing. (1998). Recent Progress in the Understanding of Surface Diffusion: Influence of Phase Transitions and Surface Heterogeneities. Defect and diffusion forum/Diffusion and defect data, solid state data. Part A, Defect and diffusion forum. 162-163. 59–96. 11 indexed citations
19.
Nieto, F. & C. Uebing. (1998). Diffusion on simple heterogenous surfaces. Berichte der Bunsengesellschaft für physikalische Chemie. 102(2). 156–163. 9 indexed citations
20.
Ramírez-Pastor, A. J., F. Nieto, & Eugenio E. Vogel. (1997). Ising lattices with ±J second-nearest-neighbor interactions. Physical review. B, Condensed matter. 55(21). 14323–14329. 9 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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