Rafa Espínola

488 total citations
18 papers, 339 citations indexed

About

Rafa Espínola is a scholar working on Geometry and Topology, Computational Theory and Mathematics and Applied Mathematics. According to data from OpenAlex, Rafa Espínola has authored 18 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Geometry and Topology, 14 papers in Computational Theory and Mathematics and 9 papers in Applied Mathematics. Recurrent topics in Rafa Espínola's work include Fixed Point Theorems Analysis (15 papers), Optimization and Variational Analysis (14 papers) and Nonlinear Differential Equations Analysis (5 papers). Rafa Espínola is often cited by papers focused on Fixed Point Theorems Analysis (15 papers), Optimization and Variational Analysis (14 papers) and Nonlinear Differential Equations Analysis (5 papers). Rafa Espínola collaborates with scholars based in Spain, Romania and Poland. Rafa Espínola's co-authors include Adriana Nicolae, Moosa Gabeleh, Nawab Hussain, Yakov Alber, Chong Li and Genaro López-Acedo and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Nonlinear Analysis and Proceedings of the American Mathematical Society.

In The Last Decade

Rafa Espínola

17 papers receiving 323 citations

Peers

Rafa Espínola
Comparison fields: 5 of 20
  • Geometry and Topology 316
  • Computational Theory and Mathematics 280
  • Applied Mathematics 108
  • Numerical Analysis 78
  • Mathematical Physics 24
Replace J.T. Markin with:
J.T. Markin Iran
A. Kaewkhao Thailand
Afrah A. N. Abdou Saudi Arabia
Gabriela Petruşel Romania
Moosa Gabeleh Iran
Misako Kikkawa Japan
A. Anthony Eldred India
Hossein Piri Iran
Troy L. Hicks United States
M. S. Khan India
J.T. Markin Iran View profile →
Citations per field, relative to Rafa Espínola
Rafa Espínola · 1×
Citations per year, relative to Rafa Espínola
Rafa Espínola · 1×

Countries citing papers authored by Rafa Espínola

Since Specialization
Citations

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

Fields of papers citing papers by Rafa Espínola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rafa Espínola. 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 Rafa Espínola. The network helps show where Rafa Espínola may publish in the future.

Co-authorship network of co-authors of Rafa Espínola

This figure shows the co-authorship network connecting the top 25 collaborators of Rafa Espínola. A scholar is included among the top collaborators of Rafa Espínola 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 Rafa Espínola. Rafa Espínola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 3
2 15
3 7
4
Fixed points and non-convex sets in CAT(0) spaces
0
5 11
6 24
7 4
8 11
9 20
10 3
11 8
12 25
13 11
14 20
15 30
16 43
17 90
18 14

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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