Paulo J. S. Silva

1.3k total citations
37 papers, 870 citations indexed

About

Paulo J. S. Silva is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics. According to data from OpenAlex, Paulo J. S. Silva has authored 37 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Numerical Analysis, 22 papers in Computational Theory and Mathematics and 11 papers in Computational Mechanics. Recurrent topics in Paulo J. S. Silva's work include Advanced Optimization Algorithms Research (22 papers), Optimization and Variational Analysis (20 papers) and Sparse and Compressive Sensing Techniques (11 papers). Paulo J. S. Silva is often cited by papers focused on Advanced Optimization Algorithms Research (22 papers), Optimization and Variational Analysis (20 papers) and Sparse and Compressive Sensing Techniques (11 papers). Paulo J. S. Silva collaborates with scholars based in Brazil, United States and Argentina. Paulo J. S. Silva's co-authors include Roberto Andreani, Gabriel Haeser, María Laura Schuverdt, Alberto Ramos, Jonathan Eckstein, J. M. Martı́nez, Helena Brentani, Dirce Maria Carraro, Diogo Ferreira da Costa Patrão and Luiz F. L. Reis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Paulo J. S. Silva

36 papers receiving 816 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paulo J. S. Silva Brazil 16 481 481 217 144 112 37 870
Yaohua Hu China 17 183 0.4× 219 0.5× 215 1.0× 216 1.5× 31 0.3× 71 871
Sichen Li China 25 814 1.7× 1.1k 2.4× 90 0.4× 134 0.9× 137 1.2× 90 1.6k
Nicoletta Del Buono Italy 14 103 0.2× 103 0.2× 66 0.3× 79 0.5× 43 0.4× 54 532
Bernd Tibken Germany 15 156 0.3× 136 0.3× 25 0.1× 47 0.3× 556 5.0× 116 976
G. Koch Italy 13 54 0.1× 50 0.1× 40 0.2× 87 0.6× 331 3.0× 50 790
Antonio Fuduli Italy 16 205 0.4× 189 0.4× 149 0.7× 9 0.1× 45 0.4× 38 633
Renu Jain India 13 62 0.1× 42 0.1× 14 0.1× 304 2.1× 17 0.2× 83 943
Dapeng Xiong China 15 17 0.0× 24 0.0× 202 0.9× 118 0.8× 127 1.1× 68 641
Annabella Astorino Italy 16 134 0.3× 117 0.2× 109 0.5× 7 0.0× 44 0.4× 40 610
Zhihong Zhao China 17 52 0.1× 29 0.1× 10 0.0× 135 0.9× 9 0.1× 75 920

Countries citing papers authored by Paulo J. S. Silva

Since Specialization
Citations

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

Fields of papers citing papers by Paulo J. S. Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paulo J. S. 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 Paulo J. S. Silva. The network helps show where Paulo J. S. Silva may publish in the future.

Co-authorship network of co-authors of Paulo J. S. Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Paulo J. S. Silva. A scholar is included among the top collaborators of Paulo J. S. 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 Paulo J. S. Silva. Paulo J. S. 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.
Sagastizábal, Claudia, et al.. (2023). A Unified Analysis of Descent Sequences in Weakly Convex Optimization, Including Convergence Rates for Bundle Methods. SIAM Journal on Optimization. 33(1). 89–115. 5 indexed citations
2.
Nonato, Luís Gustavo, Pedro S. Peixoto, Tiago Pereira, Claudia Sagastizábal, & Paulo J. S. Silva. (2022). Robot Dance: A mathematical optimization platform for intervention against COVID-19 in a complex network. SHILAP Revista de lepidopterología. 10. 100025–100025. 3 indexed citations
3.
Silva, Paulo J. S., Claudia Sagastizábal, Luís Gustavo Nonato, Claúdio J. Struchiner, & Tiago Pereira. (2021). Optimized delay of the second COVID-19 vaccine dose reduces ICU admissions. Proceedings of the National Academy of Sciences. 118(35). 26 indexed citations
4.
Silva, Paulo J. S.. (2021). Smart testing and critical care bed sharing for COVID-19 control. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 3 indexed citations
5.
Doraiswamy, Harish, Julien Tierny, Paulo J. S. Silva, Luís Gustavo Nonato, & Cláudio Silva. (2020). TopoMap: A 0-dimensional Homology Preserving Projection of High-Dimensional Data. IEEE Transactions on Visualization and Computer Graphics. 27(2). 561–571.
6.
Lopes, Renato, Sandra A. Santos, & Paulo J. S. Silva. (2019). Accelerating block coordinate descent methods with identification strategies. Computational Optimization and Applications. 72(3). 609–640. 4 indexed citations
7.
Andreani, Roberto, J. M. Martı́nez, Alberto Ramos, & Paulo J. S. Silva. (2018). Strict Constraint Qualifications and Sequential Optimality Conditions for Constrained Optimization. Mathematics of Operations Research. 43(3). 693–717. 48 indexed citations
8.
Andreani, Roberto, et al.. (2016). On second-order optimality conditions in nonlinear optimization. Optimization methods & software. 32(1). 22–38. 7 indexed citations
9.
Andreani, Roberto, Paulo J. S. Silva, Gabriel Haeser, & Alberto Ramos. (2016). A second-order sequential optimality condition associated to the convergence of optimization algorithms. IMA Journal of Numerical Analysis. drw064–drw064. 23 indexed citations
10.
Andreani, Roberto, Ellen H. Fukuda, & Paulo J. S. Silva. (2012). A Gauss–Newton Approach for Solving Constrained Optimization Problems Using Differentiable Exact Penalties. Journal of Optimization Theory and Applications. 156(2). 417–449. 3 indexed citations
11.
Andreani, Roberto, Gabriel Haeser, María Laura Schuverdt, & Paulo J. S. Silva. (2012). Two New Weak Constraint Qualifications and Applications. SIAM Journal on Optimization. 22(3). 1109–1135. 81 indexed citations
12.
Grinberg, Lea T., José M. Farfel, Breno S. Diniz, et al.. (2012). Transcriptional Alterations Related to Neuropathology and Clinical Manifestation of Alzheimer’s Disease. PLoS ONE. 7(11). e48751–e48751. 32 indexed citations
13.
Silva, Paulo J. S., et al.. (2009). Exact penalties for variational inequalities with applications to nonlinear complementarity problems. Computational Optimization and Applications. 47(3). 401–429. 3 indexed citations
14.
Silva, Paulo J. S., et al.. (2007). An Exact Algorithm for Optimal MAE Stack Filter Design. IEEE Transactions on Image Processing. 16(2). 453–462. 15 indexed citations
15.
Barrera, Júnior, Roberto M. César, David Martins, et al.. (2007). A feature selection approach for identification of signature genes from SAGE data. BMC Bioinformatics. 8(1). 169–169. 2 indexed citations
16.
Folgueira, Maria Aparecida Azevedo Koike, Dirce Maria Carraro, Helena Brentani, et al.. (2005). Gene Expression Profile Associated with Response to Doxorubicin-Based Therapy in Breast Cancer. Clinical Cancer Research. 11(20). 7434–7443. 177 indexed citations
17.
Silva, Paulo J. S., et al.. (2005). Inexact Proximal Point Algorithms and Descent Methods in Optimization. Optimization and Engineering. 6(2). 257–271. 15 indexed citations
18.
Damas, Luı́s, et al.. (2004). The decidability of a fragment of BB′IW-logic. Theoretical Computer Science. 318(3). 373–408. 3 indexed citations
19.
Goldman, Alfred, Fábio Kon, Paulo J. S. Silva, & Joseph W. Yoder. (2004). Being Extreme in the Classroom: experiences Teaching XP. Journal of the Brazilian Computer Society. 10(2). 5–21. 10 indexed citations
20.
Silva, Paulo J. S., Ronaldo F. Hashimoto, Seungchan Kim, et al.. (2004). Feature selection algorithms to find strong genes. Pattern Recognition Letters. 26(10). 1444–1453. 22 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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