José Luís da Silva

573 citations
42 papers · 259 indexed · h-index 9
Topics
Stochastic processes and financial applications (17 papers)Fractional Differential Equations Solutions (11 papers)Nonlinear Differential Equations Analysis (9 papers)
Partner nations
PortugalGermanyFrance

In The Last Decade

José Luís da Silva

39 papers receiving 232 citations

Peers

José Luís da Silva
Comparison fields: 5 of 52
  • Applied Mathematics 96
  • Finance 87
  • Mathematical Physics 75
  • Modeling and Simulation 71
  • Statistical and Nonlinear Physics 37
Replace Peter Becker–Kern with:
Peter Becker–Kern Germany
Jorge A. Leòn Mexico
Longjie Xie China
Martin Grothaus Germany
Giuseppina Guatteri Italy
Ya. I. Belopolskaya Russia
Barbara Rüdiger Germany
Yoshio Komori Japan
Pablo Groisman Argentina
Hiroyoshi Mitake Japan
José Luís da Silva relative to Peter Becker–Kern Germany Peter Becker–Kern's profile →
Citations per field
00.5×7.5×
Peter Becker–Kern · 1×
Citations per year

Countries citing papers authored by José Luís da Silva

Since Specialization
Citations

This map shows the geographic impact of José Luís 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 José Luís 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 José Luís da Silva more than expected).

Fields of papers citing papers by José Luís da Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José Luís da Silva

This figure shows the co-authorship network connecting the top 25 collaborators of José Luís da Silva. A scholar is included among the top collaborators of José Luís 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 José Luís da Silva. José Luís 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
#WorkIndexed citations
1 0
2 2
3 0
4 1
5
Random Time Change and Related Evolution Equations
3
6 12
7 1
8 2
9 4
10 3
11 21
12 4
13 2
14 2
15 6
16
Generalized Fractional Evolution Equation
7
17 1
18 4
19 60
20 7

About José Luís da Silva

José Luís da Silva is a scholar working on Modeling and Simulation, Finance and Applied Mathematics, having authored 42 papers that have together received 259 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (17 papers), Fractional Differential Equations Solutions (11 papers) and Nonlinear Differential Equations Analysis (9 papers). The work is most often cited by research in Modeling and Simulation (71 citations), Applied Mathematics (96 citations) and Finance (87 citations). José Luís da Silva has collaborated with scholars based in Portugal, Germany and France. Frequent co-authors include Ludwig Streit, Michael Röckner, Yuri G. Kondratiev, Wei Liu, Yuri Kondratiev, Martin Grothaus, Habib Ouerdiane, Anatoly N. Kochubei, Wei Liu and D. C. Khandekar. Their work appears in journals such as IEEE Transactions on Power Delivery, Journal of Mathematical Physics and Journal of Functional Analysis.

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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