Maite Grau

861 citations
44 papers · 613 · h-index 15

Impact in

Papers in

Maite Grau

43 papers receiving 565 citations

Peers

Maite Grau
Comparison fields: 5 of 33
  • Geometry and Topology 571
  • Statistical and Nonlinear Physics 402
  • Algebra and Number Theory 42
  • Biochemistry 47
  • Computational Theory and Mathematics 84
Replace Isaac A. García with:
Isaac A. García Spain
J.M. Pearson United Kingdom
Anna Cima Spain
Francesc Mañosas Spain
Henryk Żołądek Poland
Lubomir Gavrilov France
Pavao Mardešić France
J. Chavarriga Spain
Sergeî Yakovenko Israel
Jordi Villadelprat Spain
Maite Grau relative to Isaac A. García Spain Isaac A. García's profile →
Citations per field
00.5×1.6×
Isaac A. García · 1×
Citations per year

Countries citing papers authored by Maite Grau

Since Specialization
Citations

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

Fields of papers citing papers by Maite Grau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Maite Grau, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Maite Grau Line = papers co-authored together Maite Grau links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010125
2 201342
3 201035
4 200431
5 201030
6 201025
7 200625
8 201223
9 200522
10 200517
11 201117
12 201116
13 200615
14 200515
15 201315
16 200414
17 200313
18 201313
19 201413
20 200611

About Maite Grau

Maite Grau is a scholar working on Geometry and Topology, Statistical and Nonlinear Physics, Applied Mathematics, Algebra and Number Theory and Astronomy and Astrophysics, having authored 44 papers that have together received 613 indexed citations. Recurring topics across this work include Advanced Differential Equations and Dynamical Systems (42 papers), Quantum chaos and dynamical systems (21 papers), Nonlinear Waves and Solitons (7 papers), Advanced Topics in Algebra (5 papers), Meromorphic and Entire Functions (4 papers), Polynomial and algebraic computation (4 papers), Advanced Differential Geometry Research (3 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (3 papers). The work is most often cited by research in Geometry and Topology (571 citations), Statistical and Nonlinear Physics (402 citations), Algebra and Number Theory (42 citations), Biochemistry (47 citations) and Computational Theory and Mathematics (84 citations). Maite Grau has collaborated with scholars based in Spain, France and Chile. Frequent co-authors include Jaume Giné, Jaume Llibre, Francesc Mañosas, Jordi Villadelprat, Héctor Giacomini, Isaac A. García, J. Chavarriga, Eduardo Sáez, Daniel Peralta‐Salas and Armengol Gasull. Their work appears in journals such as Journal of Differential Equations, Journal of Mathematical Analysis and Applications, Nonlinear Analysis, Applied Mathematics Letters and Expositiones Mathematicae.

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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