Filipi N. Silva

1.4k total citations · 1 hit paper
43 papers, 643 citations indexed

About

Filipi N. Silva is a scholar working on Statistical and Nonlinear Physics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Filipi N. Silva has authored 43 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Statistical and Nonlinear Physics, 16 papers in Molecular Biology and 10 papers in Artificial Intelligence. Recurrent topics in Filipi N. Silva's work include Complex Network Analysis Techniques (22 papers), Opinion Dynamics and Social Influence (14 papers) and Bioinformatics and Genomic Networks (8 papers). Filipi N. Silva is often cited by papers focused on Complex Network Analysis Techniques (22 papers), Opinion Dynamics and Social Influence (14 papers) and Bioinformatics and Genomic Networks (8 papers). Filipi N. Silva collaborates with scholars based in Brazil, United States and Italy. Filipi N. Silva's co-authors include Luciano da Fontoura Costa, Diego R. Amancio, Henrique Ferraz de Arruda, César H. Comin, Gustavo R. Ferreira, Francisco A. Rodrigues, Bruno Augusto Nassif Travençolo, Matheus P. Viana, Carlos Alberto Moreira‐Filho and Sílvia Yumi Bando and has published in prestigious journals such as PLoS ONE, Chemistry of Materials and Geophysical Research Letters.

In The Last Decade

Filipi N. Silva

39 papers receiving 623 citations

Hit Papers

Principal Component Analysis 2021 2026 2022 2024 2021 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Principal Component Analysis
    2021 209 citations Gustavo R. Ferreira, Henrique Ferraz de Arruda et al. ACM Computing Surveys profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Filipi N. Silva Brazil 13 186 130 106 45 41 43 643
César H. Comin Brazil 14 240 1.3× 156 1.2× 199 1.9× 35 0.8× 80 2.0× 48 1.0k
Henrique Ferraz de Arruda Brazil 10 132 0.7× 124 1.0× 52 0.5× 19 0.4× 41 1.0× 32 494
Kun Zhao China 15 329 1.8× 88 0.7× 107 1.0× 73 1.6× 96 2.3× 55 1.1k
Lucas Antiqueira Brazil 10 430 2.3× 251 1.9× 110 1.0× 24 0.5× 61 1.5× 15 783
Elisa Omodei Austria 8 246 1.3× 70 0.5× 58 0.5× 27 0.6× 19 0.5× 21 525
Jacopo Iacovacci United Kingdom 11 273 1.5× 65 0.5× 119 1.1× 11 0.2× 53 1.3× 19 558
Marcos G. Quiles Brazil 15 118 0.6× 134 1.0× 108 1.0× 13 0.3× 95 2.3× 67 638
Jianhong Lin China 16 282 1.5× 224 1.7× 39 0.4× 68 1.5× 27 0.7× 44 914
Evgenia Dimitriadou Austria 8 51 0.3× 292 2.2× 120 1.1× 58 1.3× 105 2.6× 14 925

Countries citing papers authored by Filipi N. Silva

Since Specialization
Citations

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

Fields of papers citing papers by Filipi N. Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Filipi N. 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 Filipi N. Silva. The network helps show where Filipi N. Silva may publish in the future.

Co-authorship network of co-authors of Filipi N. Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Filipi N. Silva. A scholar is included among the top collaborators of Filipi N. 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 Filipi N. Silva. Filipi N. 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
1.
Silva, Filipi N., et al.. (2025). Using network analysis and large-language models to obtain a landscape of the literature on dressing materials for wound healing: The predominance of chitosan and other biomacromolecules: A review. International Journal of Biological Macromolecules. 306(Pt 2). 141565–141565. 3 indexed citations
2.
Silva, Filipi N., et al.. (2025). Measuring research interest similarity with transition probabilities. Quantitative Science Studies. 6. 922–939. 1 indexed citations
3.
Silva, Filipi N., et al.. (2025). Predicting citation impact of research papers using GPT and other text embeddings. Physica A Statistical Mechanics and its Applications. 674. 130789–130789.
4.
Silva, Filipi N., et al.. (2024). Recovering network topology and dynamics from sequences: A machine learning approach. Physica A Statistical Mechanics and its Applications. 638. 129618–129618. 2 indexed citations
5.
Oliveira, Maria Cristina Ferreira de, et al.. (2024). History of Chemistry of Materials According to Topic Evolution Based on Network Analysis and Natural Language Processing. Chemistry of Materials. 36(1). 1–7. 3 indexed citations
6.
Silva, Filipi N., et al.. (2024). Identifying the perceived local properties of networks reconstructed from biased random walks. PLoS ONE. 19(1). e0296088–e0296088. 3 indexed citations
7.
Silva, Filipi N., et al.. (2024). Comparing random walks in graph embedding and link prediction. PLoS ONE. 19(11). e0312863–e0312863. 2 indexed citations
8.
Silva, Filipi N., et al.. (2023). Text characterization based on recurrence networks. Information Sciences. 641. 119124–119124. 6 indexed citations
9.
Oliveira, Maria Cristina Ferreira de, et al.. (2023). Network Analysis and Natural Language Processing to Obtain a Landscape of the Scientific Literature on Materials Applications. ACS Applied Materials & Interfaces. 15(23). 27437–27446. 11 indexed citations
10.
Arruda, Henrique Ferraz de, et al.. (2022). On the stability of citation networks. Physica A Statistical Mechanics and its Applications. 610. 128399–128399. 5 indexed citations
11.
Ferreira, Gustavo R., Henrique Ferraz de Arruda, Filipi N. Silva, et al.. (2021). Principal Component Analysis. ACM Computing Surveys. 54(4). 1–34. 209 indexed citations breakdown →
12.
Arruda, Henrique Ferraz de, et al.. (2021). Enriching and analyzing small citation networks: A case study on transistor’s history. Physica A Statistical Mechanics and its Applications. 573. 125901–125901. 2 indexed citations
13.
Börner, Katy, Filipi N. Silva, & Staša Milojević. (2021). Visualizing big science projects. Nature Reviews Physics. 3(11). 753–761. 9 indexed citations
14.
Arruda, Henrique Ferraz de, et al.. (2020). Opinion diversity and social bubbles in adaptive Sznajd networks. Journal of Statistical Mechanics Theory and Experiment. 2020(2). 23407–23407. 12 indexed citations
15.
Arruda, Henrique Ferraz de, Filipi N. Silva, César H. Comin, Diego R. Amancio, & Luciano da Fontoura Costa. (2018). Connecting network science and information theory. Physica A Statistical Mechanics and its Applications. 515. 641–648. 10 indexed citations
16.
Comin, César H., et al.. (2017). Biological network border detection. Integrative Biology. 9(12). 947–955. 1 indexed citations
17.
Comin, César H., Thomas Peron, Filipi N. Silva, et al.. (2015). Thermodynamic characterization of networks using graph polynomials. Physical Review E. 92(3). 32810–32810. 19 indexed citations
18.
Silva, Filipi N., César H. Comin, Thomas Peron, et al.. (2015). Concentric network symmetry. Information Sciences. 333. 61–80. 8 indexed citations
19.
Bando, Sílvia Yumi, Filipi N. Silva, Alexandre Valotta da Silva, et al.. (2014). Correction: Complex Network Analysis of CA3 Transcriptome Reveals Pathogenic and Compensatory Pathways in Refractory Temporal Lobe Epilepsy. PLoS ONE. 9(1).
20.
Bando, Sílvia Yumi, Filipi N. Silva, Luciano da Fontoura Costa, et al.. (2013). Complex Network Analysis of CA3 Transcriptome Reveals Pathogenic and Compensatory Pathways in Refractory Temporal Lobe Epilepsy. PLoS ONE. 8(11). e79913–e79913. 18 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by César H. Comin Breakdown of academic impact, for papers by Henrique Ferraz de Arruda Breakdown of academic impact, for papers by Kun Zhao Breakdown of academic impact, for papers by Lucas Antiqueira Breakdown of academic impact, for papers by Elisa Omodei Breakdown of academic impact, for papers by Jacopo Iacovacci Breakdown of academic impact, for papers by Marcos G. Quiles Breakdown of academic impact, for papers by Jianhong Lin Breakdown of academic impact, for papers by Evgenia Dimitriadou
Rankless by CCL
2026