L. R. da Silva

2.6k total citations
132 papers, 2.0k citations indexed

About

L. R. da Silva is a scholar working on Statistical and Nonlinear Physics, Condensed Matter Physics and Modeling and Simulation. According to data from OpenAlex, L. R. da Silva has authored 132 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Statistical and Nonlinear Physics, 53 papers in Condensed Matter Physics and 40 papers in Modeling and Simulation. Recurrent topics in L. R. da Silva's work include Theoretical and Computational Physics (53 papers), Fractional Differential Equations Solutions (40 papers) and Statistical Mechanics and Entropy (38 papers). L. R. da Silva is often cited by papers focused on Theoretical and Computational Physics (53 papers), Fractional Differential Equations Solutions (40 papers) and Statistical Mechanics and Entropy (38 papers). L. R. da Silva collaborates with scholars based in Brazil, United States and France. L. R. da Silva's co-authors include Hans J. Herrmann, E. K. Lenzi, José S. Andrade, Constantino Tsallis, R. S. Mendes, L. S. Lucena, Roberto F. S. Andrade, Marcelo Kaminski Lenzi, A.M. Mariz and Pedro G. Lind and has published in prestigious journals such as Physical Review Letters, Journal of Clinical Oncology and Physical review. B, Condensed matter.

In The Last Decade

L. R. da Silva

127 papers receiving 1.9k citations

Peers

L. R. da Silva
Comparison fields: 5 of 123
  • Statistical and Nonlinear Physics 1.2k
  • Modeling and Simulation 445
  • Condensed Matter Physics 415
  • Economics and Econometrics 318
  • Mathematical Physics 227
Replace Celia Anteneodo with:
Celia Anteneodo Brazil
Fernando A. Oliveira Brazil
Raffaella Burioni Italy
Jaume Masoliver Spain
Grigorios A. Pavliotis United Kingdom
Seung‐Yeal Ha South Korea
Jason A. C. Gallas Brazil
Vincent Tejedor France
Horacio S. Wio Argentina
Alexander D. Wentzell United States
Celia Anteneodo Brazil View profile →
Citations per field, relative to L. R. da Silva
L. R. da Silva · 1×
Citations per year, relative to L. R. da Silva
L. R. da Silva · 1×

Countries citing papers authored by L. R. da Silva

Since Specialization
Citations

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

Fields of papers citing papers by L. R. da Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. R. da Silva. 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 L. R. da Silva. The network helps show where L. R. da Silva may publish in the future.

Co-authorship network of co-authors of L. R. da Silva

This figure shows the co-authorship network connecting the top 25 collaborators of L. R. da Silva. A scholar is included among the top collaborators of L. R. da Silva 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 L. R. da Silva. L. R. da Silva 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
# Work Indexed citations
1 0
2 1
3 0
4 0
5 8
6 5
7 5
8 11
9 9
10 36
11 27
12 15
13 31
14 103
15
Preferential Attachment Scale-Free Growth Model with Random Fitness and Connection with Tsallis Statistics(COMPLEXITY AND NONEXTENSIVITY:NEW TRENDS IN STATISTICAL MECHANICS)
1
16 288
17 27
18 2
19 29
20 14

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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