Diego Rial

473 citations
39 papers · 296 indexed · h-index 10

Impact in

Papers in

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
00.5×10.7×
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-authorship network

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
#Work
1 20210
2 20191
3 20182
4 20164
5
A method to deconvolve stellar rotational velocities II - The probability distribution function via Tikhonov regularization
20160
6 20161
7
Limb-Darkened Radiation-Driven Winds from Massive Stars
20161
8 20156
9 20146
10 201418
11 20132
12
Spatial distribution of stellar rotational axes from Be stars
20101
13
AXISYMMETRIC STELLAR WIND MODELS
20080
14 20074
15 200526
16 200412
17 200435
18 20001
19 19993
20 199726

About Diego Rial

Diego Rial is a scholar working on Applied Mathematics, Numerical Analysis, Mathematical Physics, Statistical and Nonlinear Physics 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), Differential Equations and Numerical Methods (6 papers), Stellar, planetary, and galactic studies (6 papers), Nonlinear Partial Differential Equations (6 papers), Advanced Mathematical Modeling in Engineering (5 papers), Nonlinear Photonic Systems (5 papers), Astrophysics and Star Formation Studies (4 papers) and Differential Equations and Boundary Problems (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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2026