Beatriz Viviani

62 total papers · 567 total citations
38 papers, 332 citations indexed

About

Beatriz Viviani is a scholar working on Applied Mathematics, Mathematical Physics and Numerical Analysis. According to data from OpenAlex, Beatriz Viviani has authored 38 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Applied Mathematics, 21 papers in Mathematical Physics and 4 papers in Numerical Analysis. Recurrent topics in Beatriz Viviani's work include Advanced Harmonic Analysis Research (35 papers), Nonlinear Partial Differential Equations (12 papers) and Differential Equations and Boundary Problems (8 papers). Beatriz Viviani is often cited by papers focused on Advanced Harmonic Analysis Research (35 papers), Nonlinear Partial Differential Equations (12 papers) and Differential Equations and Boundary Problems (8 papers). Beatriz Viviani collaborates with scholars based in Argentina, Spain and Poland. Beatriz Viviani's co-authors include Eleonor Harboure, Oscar Salinas, J. L. Torrea, José L. Torrea, Jorge J. Betancor, Adam Nowak, Roberto Macías, Marco Bramanti, Carlos Segovia and Luca Brandolini and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Transactions of the American Mathematical Society and Journal of Functional Analysis.

In The Last Decade

Beatriz Viviani

31 papers receiving 306 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Beatriz Viviani 327 201 28 15 7 38 332
Virginia Naibo 297 0.9× 224 1.1× 18 0.6× 4 0.3× 8 1.1× 35 348
Bruno Bongioanni 333 1.0× 238 1.2× 20 0.7× 28 1.9× 7 1.0× 21 379
Athanasios G. Georgiadis 307 0.9× 193 1.0× 11 0.4× 22 1.5× 16 2.3× 27 354
Josefina Álvarez 377 1.2× 231 1.1× 18 0.6× 6 0.4× 17 2.4× 21 386
Vakhtang Kokilashvili 298 0.9× 171 0.9× 8 0.3× 28 1.9× 29 4.1× 36 306
Gladis Pradolini 328 1.0× 179 0.9× 4 0.1× 12 0.8× 13 1.9× 36 332
Claudia Capone 303 0.9× 167 0.8× 35 1.3× 14 0.9× 32 4.6× 18 336
Susana D. Moura 275 0.8× 151 0.8× 27 1.0× 9 0.6× 68 9.7× 23 297
Kangwei Li 339 1.0× 185 0.9× 14 0.5× 14 0.9× 42 6.0× 43 344
Д. В. Прохоров 266 0.8× 120 0.6× 14 0.5× 5 0.3× 39 5.6× 44 295

Countries citing papers authored by Beatriz Viviani

Since Specialization
Citations

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

Fields of papers citing papers by Beatriz Viviani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beatriz Viviani

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

All Works

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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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