U. Magnea

20 total papers · 1.1k total citations
18 papers, 799 citations indexed

About

U. Magnea is a scholar working on Nuclear and High Energy Physics, Statistical and Nonlinear Physics and Statistics and Probability. According to data from OpenAlex, U. Magnea has authored 18 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Nuclear and High Energy Physics, 7 papers in Statistical and Nonlinear Physics and 7 papers in Statistics and Probability. Recurrent topics in U. Magnea's work include Quantum chaos and dynamical systems (6 papers), Random Matrices and Applications (6 papers) and Black Holes and Theoretical Physics (5 papers). U. Magnea is often cited by papers focused on Quantum chaos and dynamical systems (6 papers), Random Matrices and Applications (6 papers) and Black Holes and Theoretical Physics (5 papers). U. Magnea collaborates with scholars based in Italy, United States and Denmark. U. Magnea's co-authors include G. Peter Lepage, Lorenzo Magnea, K. Hornbostel, Charles Nakhleh, Shinsuke M. Nishigaki, Gernot Akemann, P.H. Damgaard, Michele Caselle, G. Peter Lepage and Κωνσταντίνος Αναγνωστόπουλος and has published in prestigious journals such as Physical Review Letters, Physics Reports and Nuclear Physics B.

In The Last Decade

U. Magnea

18 papers receiving 757 citations

Hit Papers

Improved nonrelativistic ... 1992 2026 2003 2014 1992 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
U. Magnea 603 155 127 115 92 18 799
Omar Zanusso 609 1.0× 225 1.5× 76 0.6× 19 0.2× 118 1.3× 45 715
Alessandro Codello 801 1.3× 362 2.3× 108 0.9× 20 0.2× 179 1.9× 34 961
F.T. Dao 674 1.1× 48 0.3× 87 0.7× 31 0.3× 39 0.4× 30 786
B. Taglienti 785 1.3× 57 0.4× 102 0.8× 28 0.2× 275 3.0× 41 926
P.G. Lauwers 646 1.1× 290 1.9× 48 0.4× 13 0.1× 107 1.2× 28 741
Dario Benedetti 692 1.1× 504 3.3× 87 0.7× 19 0.2× 34 0.4× 35 790
Giuseppe Curci 587 1.0× 39 0.3× 48 0.4× 22 0.2× 65 0.7× 27 708
V. Gorbenko 714 1.2× 198 1.3× 154 1.2× 7 0.1× 129 1.4× 32 889
Timothy R. Klassen 567 0.9× 259 1.7× 177 1.4× 17 0.1× 252 2.7× 20 900
Pedro Liendo 848 1.4× 267 1.7× 91 0.7× 20 0.2× 197 2.1× 22 988

Countries citing papers authored by U. Magnea

Since Specialization
Citations

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

Fields of papers citing papers by U. Magnea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of U. Magnea

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