Roberto Garra

2.1k citations
72 papers · 1.4k · h-index 19

Impact in

Papers in

Roberto Garra

71 papers receiving 1.4k citations

Peers

Roberto Garra
Comparison fields: 5 of 93
  • Modeling and Simulation 994
  • Numerical Analysis 485
  • Applied Mathematics 526
  • Statistical and Nonlinear Physics 265
  • Mathematical Physics 115
Replace Gianni Pagnini with:
Gianni Pagnini Italy
Dia Zeidan Jordan
Theo F. Nonnenmacher Germany
Haixiang Zhang China
Kang‐Le Wang China
Hans‐Peter Scheffler Germany
S. Shahmorad Iran
Alina Chertock United States
Yingjie Liang China
A.A. Soliman Egypt
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Citations per field
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Citations per year

Countries citing papers authored by Roberto Garra

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Garra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Roberto Garra, 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 Roberto Garra Line = papers co-authored together Roberto Garra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014172
2 2017170
3 2020121
4 201778
5 201363
6 201361
7 201150
8 201948
9 201839
10 201437
11 201536
12 201335
13 201729
14 201828
15 202223
16 201722
17 201521
18 201820
19 201918
20 201117

About Roberto Garra

Roberto Garra is a scholar working on Modeling and Simulation, Applied Mathematics, Numerical Analysis, Mechanics of Materials and Statistical and Nonlinear Physics, having authored 72 papers that have together received 1.4k indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (55 papers), Nonlinear Differential Equations Analysis (20 papers), Thermoelastic and Magnetoelastic Phenomena (12 papers), Differential Equations and Numerical Methods (10 papers), Numerical methods in engineering (8 papers), Mathematical functions and polynomials (7 papers), Stochastic processes and financial applications (6 papers) and Nanofluid Flow and Heat Transfer (6 papers). The work is most often cited by research in Modeling and Simulation (994 citations), Numerical Analysis (485 citations), Applied Mathematics (526 citations), Statistical and Nonlinear Physics (265 citations) and Mathematical Physics (115 citations). Roberto Garra has collaborated with scholars based in Italy, Spain and United Kingdom. Frequent co-authors include Federico Polito, Roberto Garrappa, Francesco Mainardi, Živorad Tomovski, Enzo Orsingher, Andrea Giusti, Rudolf Gorenflo, Federico Falcini, Giampietro Casasanta and Ivano Colombaro. Their work appears in journals such as Fractional Calculus and Applied Analysis, Journal of Applied Probability, Communications in Nonlinear Science and Numerical Simulation, Journal of Quantitative Spectroscopy and Radiative Transfer and Physical review. E.

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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