Diego Rial

35 papers receiving 275 citations

Peers

Diego Rial
Comparison fields: 5 of 42
  • Mathematical Physics 73
  • Applied Mathematics 80
  • Instrumentation 22
  • Numerical Analysis 32
  • Statistical and Nonlinear Physics 65
Replace Sonia Mazzucchi with:
Sonia Mazzucchi Italy
J. Sesma Spain
Laura M. Morato Italy
Anatoliy K. Prykarpatsky Poland
Luigi De Pascale Italy
Max‐K. von Renesse Germany
Jakob Ablinger Austria
Charles-Édouard Bréhier France
Pierre-A. Vuillermot France
Diego Rial relative to Sonia Mazzucchi Italy Sonia Mazzucchi's profile →
Citations per field
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Sonia Mazzucchi · 1×
Citations per year

Countries citing papers authored by Diego Rial

Since Specialization
Citations

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

Fields of papers citing papers by Diego Rial

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Diego Rial, 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 Diego Rial Line = papers co-authored together Diego Rial links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200237
2 200435
3 200526
4 199726
5 201323
6 201418
7 201214
8 200412
9 200711
10 201810
11 20049
12 20129
13 20146
14 20156
15 20205
16 20035
17 20145
18 20164
19 20074
20 20004

About Diego Rial

Diego Rial is a scholar working on Applied Mathematics, Mathematical Physics, Statistical and Nonlinear Physics, Numerical Analysis and Astronomy and Astrophysics, having authored 39 papers that have together received 296 indexed citations. Recurring topics across this work include Advanced Mathematical Physics Problems (8 papers), Stellar, planetary, and galactic studies (6 papers), Nonlinear Partial Differential Equations (6 papers), Differential Equations and Numerical Methods (6 papers), Nonlinear Photonic Systems (5 papers), Advanced Mathematical Modeling in Engineering (5 papers), Differential Equations and Boundary Problems (4 papers) and Stability and Controllability of Differential Equations (4 papers). The work is most often cited by research in Mathematical Physics (73 citations), Applied Mathematics (80 citations), Instrumentation (22 citations), Numerical Analysis (32 citations) and Statistical and Nonlinear Physics (65 citations). Diego Rial has collaborated with scholars based in Argentina, Chile and United States. Frequent co-authors include M. Curé, M. C. Mariani, Julio D. Rossi, Ansgar Jüngel, Pablo Amster, L. S. Cidale, Maria C. Mariani, Ramón Alain Miranda‐Quintana, Roberto C. Bochicchio and Alejandra Christen. Their work appears in journals such as Astronomy and Astrophysics, Nonlinear Analysis, Communications in Mathematical Sciences, Mathematics of Control Signals and Systems and ESAIM Control Optimisation and Calculus of Variations.

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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