João Marcos do Ó

4.5k citations
154 papers · 3.2k indexed · h-index 30
Topics
Nonlinear Partial Differential Equations (137 papers)Advanced Mathematical Modeling in Engineering (113 papers)Nonlinear Differential Equations Analysis (39 papers)
Partner nations
BrazilItalyChile

In The Last Decade

João Marcos do Ó

141 papers receiving 2.9k citations

Peers

João Marcos do Ó
Comparison fields: 5 of 107
  • Applied Mathematics 2.8k
  • Computational Theory and Mathematics 2.1k
  • Mathematical Physics 1.4k
  • Numerical Analysis 266
  • Control and Systems Engineering 179
Replace Bernd Silbermann with:
Bernd Silbermann Germany
Sergio Solimini Italy
Filippo Gazzola Italy
Tatsien Li China
Patrizia Pucci Italy
M. I. Vishik Russia
H. O. Fattorini United States
John B. Garnett United States
Paolo Tilli Italy
Alain Haraux France
João Marcos do Ó relative to Bernd Silbermann Germany Bernd Silbermann's profile →
Citations per field
00.5×4.2×
Bernd Silbermann · 1×
Citations per year

Countries citing papers authored by João Marcos do Ó

Since Specialization
Citations

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

Fields of papers citing papers by João Marcos do Ó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by João Marcos do Ó. 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 João Marcos do Ó. The network helps show where João Marcos do Ó may publish in the future.

Co-authorship network of co-authors of João Marcos do Ó

This figure shows the co-authorship network connecting the top 25 collaborators of João Marcos do Ó. A scholar is included among the top collaborators of João Marcos do Ó 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 João Marcos do Ó. João Marcos do Ó 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 0
3 0
4 1
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6 1
7 1
8 13
9 1
10 2
11 2
12 2
13 56
14 1
15 38
16 19
17 9
18 2
19 39
20
A multiplicity result for a class of superquadratic Hamiltonian systems
15

About João Marcos do Ó

João Marcos do Ó is a scholar working on Applied Mathematics, Mathematical Physics and Computational Theory and Mathematics, having authored 154 papers that have together received 3.2k indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (137 papers), Advanced Mathematical Modeling in Engineering (113 papers) and Nonlinear Differential Equations Analysis (39 papers). The work is most often cited by research in Applied Mathematics (2.8k citations), Mathematical Physics (1.4k citations) and Computational Theory and Mathematics (2.1k citations). João Marcos do Ó has collaborated with scholars based in Brazil, Italy and Chile. Frequent co-authors include Uberlândio B. Severo, Olı́mpio H. Miyagaki, Bernhard Ruf, Djairo G. de Figueiredo, M. R. Osborne, Janusz S. Kowalik, Manassés de Souza, Everaldo S. Medeiros, Sérgio H. Monari Soares and Jianjun Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, Mathematics of Computation and Communications on Pure and Applied Mathematics.

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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