Leonardo Scalabrin

40 total papers · 1.3k total citations
28 papers, 1.0k citations indexed

About

Leonardo Scalabrin is a scholar working on Computational Mechanics, Applied Mathematics and Aerospace Engineering. According to data from OpenAlex, Leonardo Scalabrin has authored 28 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computational Mechanics, 23 papers in Applied Mathematics and 11 papers in Aerospace Engineering. Recurrent topics in Leonardo Scalabrin's work include Computational Fluid Dynamics and Aerodynamics (23 papers), Gas Dynamics and Kinetic Theory (23 papers) and Fluid Dynamics and Turbulent Flows (13 papers). Leonardo Scalabrin is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (23 papers), Gas Dynamics and Kinetic Theory (23 papers) and Fluid Dynamics and Turbulent Flows (13 papers). Leonardo Scalabrin collaborates with scholars based in United States and Brazil. Leonardo Scalabrin's co-authors include Iain D. Boyd, Thomas E. Schwartzentruber, Andrew J. Lofthouse, Alexandre Martin, João Luiz F. Azevedo, Farzad Ismail, Philip L. Roe, Hiroaki Nishikawa, Andrew Porwitzky and Michael Keidar and has published in prestigious journals such as Journal of Computational Physics, AIAA Journal and International Journal for Numerical Methods in Fluids.

In The Last Decade

Leonardo Scalabrin

28 papers receiving 999 citations

Author Peers

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

Author Last Decade Papers Cites
Leonardo Scalabrin 897 776 543 139 86 28 1.0k
G. Markelov 691 0.8× 485 0.6× 447 0.8× 67 0.5× 99 1.2× 60 833
Joseph Olejniczak 885 1.0× 669 0.9× 579 1.1× 56 0.4× 55 0.6× 46 1.1k
Frederick R. Riddell 832 0.9× 739 1.0× 588 1.1× 111 0.8× 62 0.7× 8 1.2k
Е. М. Шахов 900 1.0× 694 0.9× 340 0.6× 201 1.4× 52 0.6× 57 989
Quanhua Sun 742 0.8× 652 0.8× 305 0.6× 122 0.9× 125 1.5× 85 1.1k
Paul V. Marrone 769 0.9× 495 0.6× 370 0.7× 63 0.5× 96 1.1× 19 978
R. Goulard 466 0.5× 665 0.9× 350 0.6× 73 0.5× 117 1.4× 36 1.2k
Kenneth Sutton 877 1.0× 517 0.7× 631 1.2× 41 0.3× 64 0.7× 36 1.1k
E. Vincent Zoby 738 0.8× 623 0.8× 530 1.0× 63 0.5× 24 0.3× 76 974
Tahir Gökçen 721 0.8× 405 0.5× 462 0.9× 68 0.5× 73 0.8× 75 900

Countries citing papers authored by Leonardo Scalabrin

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo Scalabrin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonardo Scalabrin

This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo Scalabrin. A scholar is included among the top collaborators of Leonardo Scalabrin 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 Leonardo Scalabrin. Leonardo Scalabrin 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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