David G. Ebin

3.7k total citations · 2 hit papers
30 papers, 1.7k citations indexed

About

David G. Ebin is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Mathematical Physics. According to data from OpenAlex, David G. Ebin has authored 30 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Applied Mathematics, 10 papers in Computational Theory and Mathematics and 9 papers in Mathematical Physics. Recurrent topics in David G. Ebin's work include Navier-Stokes equation solutions (12 papers), Advanced Mathematical Modeling in Engineering (9 papers) and Geometric Analysis and Curvature Flows (7 papers). David G. Ebin is often cited by papers focused on Navier-Stokes equation solutions (12 papers), Advanced Mathematical Modeling in Engineering (9 papers) and Geometric Analysis and Curvature Flows (7 papers). David G. Ebin collaborates with scholars based in United States, Israel and Venezuela. David G. Ebin's co-authors include Jerrold E. Marsden, Jeff Cheeger, Marcel Berger, Stephen C. Preston, Marcelo M. Disconzi, Gerard Misiołek, Ralph Saxton, Santiago R. Simanca, Hershel M. Farkas and Karsten Grove and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Annals of Mathematics and Communications on Pure and Applied Mathematics.

In The Last Decade

David G. Ebin

28 papers receiving 1.4k citations

Hit Papers

Groups of Diffeomorphisms and the Motion of an Incompress... 1970 2026 1988 2007 1970 2008 250 500 750

Peers

David G. Ebin
Comparison fields: 5 of 67
  • Applied Mathematics 1.1k
  • Mathematical Physics 538
  • Geometry and Topology 501
  • Computational Mechanics 461
  • Statistical and Nonlinear Physics 282
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Citations per field, relative to David G. Ebin
David G. Ebin · 1×
Citations per year, relative to David G. Ebin
David G. Ebin · 1×

Countries citing papers authored by David G. Ebin

Since Specialization
Citations

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

Fields of papers citing papers by David G. Ebin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David G. Ebin. 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 David G. Ebin. The network helps show where David G. Ebin may publish in the future.

Co-authorship network of co-authors of David G. Ebin

This figure shows the co-authorship network connecting the top 25 collaborators of David G. Ebin. A scholar is included among the top collaborators of David G. Ebin 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 David G. Ebin. David G. Ebin 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
# Work Indexed citations
1 0
2 11
3 9
4
Comparison Theorems in Riemannian Geometry breakdown →
194
5 27
6
10
7 19
8 7
9 4
10 44
11 87
12 13
13 51
14 30
15
Espace des mitriques riemanniennes et mouvement des fluides via les varietes d'applications
12
16 8
17 8
18
Groups of Diffeomorphisms and the Motion of an Incompressible Fluid breakdown →
753
19 171
20 16

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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