J. G. Moreira

476 total citations
25 papers, 397 citations indexed

About

J. G. Moreira is a scholar working on Condensed Matter Physics, Mathematical Physics and Computational Theory and Mathematics. According to data from OpenAlex, J. G. Moreira has authored 25 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Condensed Matter Physics, 9 papers in Mathematical Physics and 9 papers in Computational Theory and Mathematics. Recurrent topics in J. G. Moreira's work include Theoretical and Computational Physics (23 papers), Cellular Automata and Applications (8 papers) and Stochastic processes and statistical mechanics (7 papers). J. G. Moreira is often cited by papers focused on Theoretical and Computational Physics (23 papers), Cellular Automata and Applications (8 papers) and Stochastic processes and statistical mechanics (7 papers). J. G. Moreira collaborates with scholars based in Brazil, France and Spain. J. G. Moreira's co-authors include F.C. SāBarreto, J. A. Plascak, Sylvie Oliffson Kamphorst, J. Kamphorst Leal da Silva, Américo Tristão Bernardes, A. P. F. Atman, Marcelo L. Martins, Sidiney G. Alves, Silvio C. Ferreira and Ronald Dickman and has published in prestigious journals such as Physical review. B, Condensed matter, Journal of Physics Condensed Matter and Physics Letters A.

In The Last Decade

J. G. Moreira

25 papers receiving 380 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. G. Moreira Brazil 10 229 117 104 86 73 25 397
In-mook Kim South Korea 10 191 0.8× 115 1.0× 92 0.9× 122 1.4× 93 1.3× 29 328
Yup Kim South Korea 12 204 0.9× 240 2.1× 74 0.7× 142 1.7× 69 0.9× 57 481
Sona Prakash United States 10 255 1.1× 105 0.9× 72 0.7× 78 0.9× 51 0.7× 13 408
Jysoo Lee South Korea 11 247 1.1× 126 1.1× 102 1.0× 125 1.5× 84 1.2× 32 473
Sidiney G. Alves Brazil 14 252 1.1× 85 0.7× 39 0.4× 176 2.0× 81 1.1× 41 440
Zhi-Feng Huang United States 14 156 0.7× 46 0.4× 39 0.4× 29 0.3× 556 7.6× 37 705
Soumyajyoti Biswas India 14 148 0.6× 281 2.4× 133 1.3× 27 0.3× 42 0.6× 47 614
Fulvio Baldovin Italy 16 129 0.6× 474 4.1× 271 2.6× 24 0.3× 59 0.8× 40 636
C. Amitrano Italy 7 265 1.2× 109 0.9× 123 1.2× 114 1.3× 71 1.0× 10 339
Tridib Sadhu France 10 211 0.9× 172 1.5× 23 0.2× 163 1.9× 40 0.5× 22 351

Countries citing papers authored by J. G. Moreira

Since Specialization
Citations

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

Fields of papers citing papers by J. G. Moreira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. G. Moreira

This figure shows the co-authorship network connecting the top 25 collaborators of J. G. Moreira. A scholar is included among the top collaborators of J. G. Moreira 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. G. Moreira. J. G. Moreira 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.
Moreira, J. G., et al.. (2007). A discrete method to study stochastic growth equations: a cellular automata perspective. Journal of Physics A Mathematical and Theoretical. 40(44). 13245–13256. 6 indexed citations
2.
Moreira, J. G., et al.. (2006). A new method to study stochastic growth equations: application to the Edwards-Wilkinson equation. Brazilian Journal of Physics. 36(3a). 746–749. 3 indexed citations
3.
Ferreira, Silvio C., et al.. (2005). Morphological transition between diffusion-limited and ballistic aggregation growth patterns. Physical Review E. 71(5). 51402–51402. 25 indexed citations
4.
Atman, A. P. F., Ronald Dickman, & J. G. Moreira. (2003). Phase diagram of a probabilistic cellular automaton with three-site interactions. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 67(1). 16107–16107. 8 indexed citations
5.
Atman, A. P. F., Ronald Dickman, & J. G. Moreira. (2002). Scaling exponents of rough surfaces generated by the Domany-Kinzel cellular automaton. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 66(1). 16113–16113. 8 indexed citations
6.
Moreira, J. G., et al.. (2002). Growth model with restricted surface relaxation. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 66(6). 61604–61604. 3 indexed citations
7.
Moreira, J. G., et al.. (2001). Kinetic roughening model with opposite Kardar-Parisi-Zhang nonlinearities. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 63(4). 41601–41601. 11 indexed citations
8.
Bernardes, Américo Tristão, et al.. (2001). Failure regimes in (1+1) dimensions in fibrous materials. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 63(2). 25104–25104. 12 indexed citations
9.
Moreira, J. G., et al.. (2000). Scaling behaviour in the fracture of fibrous materials. The European Physical Journal B. 13(2). 313–318. 8 indexed citations
10.
Atman, A. P. F. & J. G. Moreira. (2000). Growth exponent in the Domany-Kinzel cellular automaton. The European Physical Journal B. 16(3). 501–505. 11 indexed citations
11.
Martins, Marcelo L., et al.. (1999). Roughness exponent in the Domany-Kinzel cellular automaton. Journal of Physics A Mathematical and General. 32(6). 885–890. 6 indexed citations
12.
Bernardes, Américo Tristão, et al.. (1998). Simulation of chaotic behaviour in population dynamics. The European Physical Journal B. 1(3). 393–396. 12 indexed citations
13.
Martins, Marcelo L., et al.. (1997). One-dimensional cellular automata characterization by the roughness exponent. Physica A Statistical Mechanics and its Applications. 245(3-4). 461–471. 18 indexed citations
14.
Moreira, J. G., et al.. (1997). Roughness exponents to calculate multi-affine fractal exponents. Physica A Statistical Mechanics and its Applications. 235(3-4). 327–333. 41 indexed citations
15.
Moreira, J. G., et al.. (1997). Kinetic roughening on rough substrates. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 56(4). 4880–4883. 9 indexed citations
16.
Bernardes, Américo Tristão & J. G. Moreira. (1995). Self-Organized Criticality in a Model for Fracture on Fibrous Materials. Journal de Physique I. 5(9). 1135–1141. 9 indexed citations
17.
Bernardes, Américo Tristão & J. G. Moreira. (1994). Model for fracture in fibrous materials. Physical review. B, Condensed matter. 49(21). 15035–15039. 7 indexed citations
18.
Moreira, J. G., J. Kamphorst Leal da Silva, & Sylvie Oliffson Kamphorst. (1994). On the fractal dimension of self-affine profiles. Journal of Physics A Mathematical and General. 27(24). 8079–8089. 77 indexed citations
19.
Plascak, J. A., J. G. Moreira, & F.C. SāBarreto. (1993). Mean field solution of the general spin Blume-Capel model. Physics Letters A. 173(4-5). 360–364. 101 indexed citations
20.
Moreira, J. G. & S. R. Salinas. (1987). Ising model with third-neighbour interactions on the Cayley tree. Journal of Physics A Mathematical and General. 20(6). 1621–1625. 4 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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