Renato De Leone

153 total papers · 1.6k total citations
79 papers, 959 citations indexed

About

Renato De Leone is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Control and Systems Engineering. According to data from OpenAlex, Renato De Leone has authored 79 papers receiving a total of 959 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computational Theory and Mathematics, 14 papers in Numerical Analysis and 11 papers in Control and Systems Engineering. Recurrent topics in Renato De Leone's work include Advanced Optimization Algorithms Research (13 papers), Matrix Theory and Algorithms (10 papers) and Coagulation and Flocculation Studies (7 papers). Renato De Leone is often cited by papers focused on Advanced Optimization Algorithms Research (13 papers), Matrix Theory and Algorithms (10 papers) and Coagulation and Flocculation Studies (7 papers). Renato De Leone collaborates with scholars based in Italy, United States and China. Renato De Leone's co-authors include O. L. Mangasarian, Gerardo Odriozola, Minjoong Rim, Rajiv Jain, Jessica Rosati, Tommaso Di Noia, Heiko Paulheim, R. Hidalgo‐Álvarez, A. Schmitt and Petar Ristoski and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and The Journal of Physical Chemistry B.

In The Last Decade

Renato De Leone

75 papers receiving 905 citations

Author Peers

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

Author Last Decade Papers Cites
Renato De Leone 250 218 177 167 100 79 959
N. S. Mendelsohn 436 1.7× 237 1.1× 499 2.8× 48 0.3× 28 0.3× 81 1.1k
Daniel Tabak 252 1.0× 98 0.4× 82 0.5× 153 0.9× 15 0.1× 48 1.0k
Julius Žilinskas 564 2.3× 410 1.9× 71 0.4× 459 2.7× 16 0.2× 90 1.2k
David Juedes 464 1.9× 155 0.7× 52 0.3× 151 0.9× 14 0.1× 40 989
M. C. Bartholomew‐Biggs 217 0.9× 109 0.5× 49 0.3× 227 1.4× 19 0.2× 41 811
Achim Bachem 299 1.2× 96 0.4× 63 0.4× 74 0.4× 83 0.8× 28 870
Antanas Žilinskas 587 2.3× 419 1.9× 75 0.4× 299 1.8× 63 0.6× 95 1.2k
И. В. Сергиенко 232 0.9× 115 0.5× 54 0.3× 121 0.7× 67 0.7× 238 1.0k
Gregory B. Sorkin 483 1.9× 348 1.6× 137 0.8× 25 0.1× 72 0.7× 55 1.2k
Ilias Diakonikolas 318 1.3× 436 2.0× 51 0.3× 29 0.2× 25 0.3× 77 803

Countries citing papers authored by Renato De Leone

Since Specialization
Citations

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

Fields of papers citing papers by Renato De Leone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Renato De Leone. 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 Renato De Leone. The network helps show where Renato De Leone may publish in the future.

Co-authorship network of co-authors of Renato De Leone

This figure shows the co-authorship network connecting the top 25 collaborators of Renato De Leone. A scholar is included among the top collaborators of Renato De Leone 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 Renato De Leone. Renato De Leone 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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