Delio Mugnolo

113 total papers · 1.0k total citations
50 papers, 514 citations indexed

About

Delio Mugnolo is a scholar working on Mathematical Physics, Computational Theory and Mathematics and Applied Mathematics. According to data from OpenAlex, Delio Mugnolo has authored 50 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Mathematical Physics, 29 papers in Computational Theory and Mathematics and 12 papers in Applied Mathematics. Recurrent topics in Delio Mugnolo's work include Spectral Theory in Mathematical Physics (24 papers), Advanced Mathematical Modeling in Engineering (21 papers) and Numerical methods in inverse problems (11 papers). Delio Mugnolo is often cited by papers focused on Spectral Theory in Mathematical Physics (24 papers), Advanced Mathematical Modeling in Engineering (21 papers) and Numerical methods in inverse problems (11 papers). Delio Mugnolo collaborates with scholars based in Germany, Italy and France. Delio Mugnolo's co-authors include Stefano Cardanobile, Silvia Romanelli, Pavel Kurasov, Bobo Hua, Serge Nicaise, James B. Kennedy, Matthias Keller, Joachim von Below, Verena Wolf and Marjeta Kramar Fijavž and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Analysis and Applications and Journal of Differential Equations.

In The Last Decade

Delio Mugnolo

45 papers receiving 470 citations

Author Peers

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

Author Last Decade Papers Cites
Delio Mugnolo 308 263 133 133 98 50 514
Joachim von Below 254 0.8× 257 1.0× 117 0.9× 107 0.8× 70 0.7× 29 463
Jürgen Voigt 373 1.2× 187 0.7× 93 0.7× 301 2.3× 64 0.7× 51 559
Yu. I. Lyubich 266 0.9× 222 0.8× 158 1.2× 266 2.0× 35 0.4× 42 589
Mike Hurley 378 1.2× 131 0.5× 102 0.8× 55 0.4× 179 1.8× 33 521
Robert Vandervorst 179 0.6× 244 0.9× 72 0.5× 239 1.8× 141 1.4× 30 550
David Cheban 111 0.4× 159 0.6× 370 2.8× 306 2.3× 65 0.7× 63 564
Daisuke Fujiwara 368 1.2× 157 0.6× 88 0.7× 323 2.4× 78 0.8× 49 595
Andrey Sarychev 80 0.3× 104 0.4× 169 1.3× 162 1.2× 80 0.8× 38 470
Charles J. Holland 113 0.4× 289 1.1× 107 0.8× 242 1.8× 76 0.8× 27 616
Czesław Olech 102 0.3× 275 1.0× 155 1.2× 229 1.7× 61 0.6× 40 564

Countries citing papers authored by Delio Mugnolo

Since Specialization
Citations

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

Fields of papers citing papers by Delio Mugnolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Delio Mugnolo

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