José Luis Bravo

930 citations
36 papers · 786 indexed · h-index 13
Topics
Advanced Differential Equations and Dynamical Systems (25 papers)Quantum chaos and dynamical systems (14 papers)Mathematical and Theoretical Epidemiology and Ecology Models (10 papers)

In The Last Decade

José Luis Bravo

32 papers receiving 752 citations

Peers

José Luis Bravo
Comparison fields: 5 of 76
  • Geometry and Topology 187
  • Biomedical Engineering 169
  • Atomic and Molecular Physics, and Optics 159
  • Control and Systems Engineering 151
  • Mechanical Engineering 143
Replace Toshio Oshima with:
Toshio Oshima Japan
Milan Kubı́ček Czechia
V. V. Kozlov Russia
Saima Noor Saudi Arabia
Aleksandar M. Spasić Serbia
R. Srinivasan India
В. И. Быков Russia
Li Yin China
Andrzej Burghardt Poland
José Luis Bravo relative to Toshio Oshima Japan Toshio Oshima's profile →
Citations per field
00.5×8.9×
Toshio Oshima · 1×
Citations per year

Countries citing papers authored by José Luis Bravo

Since Specialization
Citations

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

Fields of papers citing papers by José Luis Bravo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José Luis Bravo. 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 Luis Bravo. The network helps show where José Luis Bravo may publish in the future.

Co-authorship network of co-authors of José Luis Bravo

This figure shows the co-authorship network connecting the top 25 collaborators of José Luis Bravo. A scholar is included among the top collaborators of José Luis Bravo 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 Luis Bravo. José Luis Bravo 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 1
2 2
3 0
4 0
5 0
6 10
7 14
8 18
9 1
10 9
11 5
12 12
13 39
14 10
15 60
16
Implementación European Credit Transfer System en un curso de Programación en Ingeniería
1
17 73
18 1
19 2
20
The set of first-order differential equations with periodic or bounded solutions.
0

About José Luis Bravo

José Luis Bravo is a scholar working on Geometry and Topology, Statistical and Nonlinear Physics and Applied Mathematics, having authored 36 papers that have together received 786 indexed citations. Recurring topics across this work include Advanced Differential Equations and Dynamical Systems (25 papers), Quantum chaos and dynamical systems (14 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (10 papers). The work is most often cited by research in Geometry and Topology (187 citations), Catalysis (82 citations) and Applied Mathematics (118 citations). José Luis Bravo has collaborated with scholars based in Spain, Venezuela and United Kingdom. Frequent co-authors include James R. Fair, João Rocha, J. Espinosa-Garcı́a, Cipriano Rángel, Pedro J. Torres, J. C. Corchado, M.J. Álvarez, Kenneth R. Seddon, José S. Torrecilla and Francisco Rodrı́guez. Their work appears in journals such as The Journal of Chemical Physics, Physical Chemistry Chemical Physics and Industrial & Engineering Chemistry Research.

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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