Ricardo Sá Earp

45 papers receiving 376 citations

Peers

Ricardo Sá Earp
Comparison fields: 5 of 22
  • Applied Mathematics 442
  • Geometry and Topology 338
  • Computational Theory and Mathematics 105
  • Astronomy and Astrophysics 54
  • Computational Mechanics 21
Replace Éric Toubiana with:
Éric Toubiana France
Yu. D. Burago Russia
Shanyu Ji United States
Guosong Zhao China
Anton Petrunin United States
Valentino Magnani Italy
Mario Micallef United Kingdom
Vicente Miquel Spain
Hirotaka Fujimoto Japan
Masatoshi Kokubu Japan
Ricardo Sá Earp relative to Éric Toubiana France Éric Toubiana's profile →
Citations per field
00.5×1.5×1.8×
Éric Toubiana · 1×
Citations per year

Countries citing papers authored by Ricardo Sá Earp

Since Specialization
Citations

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

Fields of papers citing papers by Ricardo Sá Earp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ricardo Sá Earp. 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 Ricardo Sá Earp. The network helps show where Ricardo Sá Earp may publish in the future.

Co-authorship network of co-authors of Ricardo Sá Earp

This figure shows the co-authorship network connecting the top 25 collaborators of Ricardo Sá Earp. A scholar is included among the top collaborators of Ricardo Sá Earp 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 Ricardo Sá Earp. Ricardo Sá Earp 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 3
2 7
3 3
4 5
5 6
6 8
7
Minimal hypersurfaces in H n × R, total curvature and index
2
8 40
9 20
10 41
11 5
12 3
13 3
14 12
15 7
16 12
17
New results on prescribed mean curvature hypersurfaces in space forms
9
18
Geometric configurations of constant mean curvature surfaces with planar boundary
13
19
Structure theorems for constant mean curvature surfaces bounded by a planar curve
39
20 5

About Ricardo Sá Earp

Ricardo Sá Earp is a scholar working on Geometry and Topology, Applied Mathematics and Theoretical Computer Science, having authored 47 papers that have together received 482 indexed citations. Recurring topics across this work include Geometric Analysis and Curvature Flows (37 papers), Nonlinear Partial Differential Equations (15 papers) and Geometry and complex manifolds (14 papers). The work is most often cited by research in Applied Mathematics (442 citations), Geometry and Topology (338 citations) and Computational Theory and Mathematics (105 citations). Ricardo Sá Earp has collaborated with scholars based in Brazil, France and Italy. Frequent co-authors include Éric Toubiana, Harold Rosenberg, Fabiano Brito, William H. Meeks, J. Lucas M. Barbosa, Barbara Nelli, Pierre Bérard, Laurent Hauswirth and Javier de Lucas. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Transactions of the American Mathematical Society and Advances in 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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