Ugo Gianazza

107 total papers · 1.4k total citations
55 papers, 805 citations indexed

About

Ugo Gianazza is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Mathematical Physics. According to data from OpenAlex, Ugo Gianazza has authored 55 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Applied Mathematics, 40 papers in Computational Theory and Mathematics and 30 papers in Mathematical Physics. Recurrent topics in Ugo Gianazza's work include Advanced Mathematical Modeling in Engineering (39 papers), Nonlinear Partial Differential Equations (39 papers) and Numerical methods in inverse problems (20 papers). Ugo Gianazza is often cited by papers focused on Advanced Mathematical Modeling in Engineering (39 papers), Nonlinear Partial Differential Equations (39 papers) and Numerical methods in inverse problems (20 papers). Ugo Gianazza collaborates with scholars based in Italy, United States and Austria. Ugo Gianazza's co-authors include Emmanuele DiBenedetto, Vincenzo Vespri, Vincenzo Vesprı, Giuseppe Savaré, Giuseppe Toscani, Frank Duzaar, Verena Bögelein, Piero Colli Franzone, Franco Brezzi and Gianni Gilardi and has published in prestigious journals such as IEEE Transactions on Power Electronics, Materials and Journal of Machine Learning Research.

In The Last Decade

Ugo Gianazza

48 papers receiving 745 citations

Author Peers

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

Author Last Decade Papers Cites
Ugo Gianazza 662 555 366 63 56 55 805
Augusto C. Ponce 573 0.9× 441 0.8× 360 1.0× 48 0.8× 56 1.0× 45 736
Wolfgang Reichel 619 0.9× 530 1.0× 282 0.8× 54 0.9× 33 0.6× 56 775
Pierpaolo Esposito 699 1.1× 649 1.2× 357 1.0× 144 2.3× 58 1.0× 41 894
Robert Jensen 656 1.0× 557 1.0× 210 0.6× 110 1.7× 93 1.7× 38 1.0k
Richard O’Neil 716 1.1× 156 0.3× 475 1.3× 49 0.8× 57 1.0× 28 875
Mikko Parviainen 576 0.9× 425 0.8× 282 0.8× 40 0.6× 22 0.4× 55 728
Petri Juutinen 785 1.2× 607 1.1× 259 0.7× 66 1.0× 37 0.7× 30 900
Wen Zhang 642 1.0× 325 0.6× 296 0.8× 54 0.9× 19 0.3× 38 739
Frank‐Olme Speck 416 0.6× 284 0.5× 427 1.2× 18 0.3× 26 0.5× 54 721
Guido Trombetti 807 1.2× 608 1.1× 410 1.1× 38 0.6× 21 0.4× 29 903

Countries citing papers authored by Ugo Gianazza

Since Specialization
Citations

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

Fields of papers citing papers by Ugo Gianazza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ugo Gianazza

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