Alberto Tesei

153 total papers · 1.8k total citations
112 papers, 1.3k citations indexed

About

Alberto Tesei is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Mathematical Physics. According to data from OpenAlex, Alberto Tesei has authored 112 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Applied Mathematics, 63 papers in Computational Theory and Mathematics and 53 papers in Mathematical Physics. Recurrent topics in Alberto Tesei's work include Advanced Mathematical Modeling in Engineering (59 papers), Nonlinear Partial Differential Equations (53 papers) and Numerical methods in inverse problems (25 papers). Alberto Tesei is often cited by papers focused on Advanced Mathematical Modeling in Engineering (59 papers), Nonlinear Partial Differential Equations (53 papers) and Numerical methods in inverse problems (25 papers). Alberto Tesei collaborates with scholars based in Italy, Netherlands and United States. Alberto Tesei's co-authors include Maria Assunta Pozio, Catherine Bandle, P. de Mottoni, Fabio Punzo, Stanislav I. Pohožaev, Michiel Bertsch, A. Schiaffino, Roberto Natalini, Róbert Kersner and Marcello Onofri and has published in prestigious journals such as SHILAP Revista de lepidopterología, Oecologia and Journal of Mathematical Analysis and Applications.

In The Last Decade

Alberto Tesei

105 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Alberto Tesei 845 625 465 237 211 112 1.3k
Peter Takáč 767 0.9× 697 1.1× 424 0.9× 191 0.8× 240 1.1× 91 1.2k
Peter Heß 1.0k 1.2× 981 1.6× 380 0.8× 232 1.0× 213 1.0× 58 1.7k
Nikolaï Nadirashvili 1.3k 1.5× 564 0.9× 667 1.4× 515 2.2× 169 0.8× 73 1.8k
Régis Monneau 868 1.0× 685 1.1× 290 0.6× 248 1.0× 252 1.2× 108 1.4k
Zongming Guo 1.4k 1.6× 1.0k 1.7× 416 0.9× 339 1.4× 126 0.6× 99 1.7k
Michiel Bertsch 793 0.9× 813 1.3× 399 0.9× 165 0.7× 236 1.1× 96 1.7k
Eiji Yanagida 1.1k 1.3× 717 1.1× 599 1.3× 304 1.3× 476 2.3× 120 1.7k
Jacek Banasiak 502 0.6× 247 0.4× 593 1.3× 151 0.6× 104 0.5× 139 1.4k
Keng Deng 859 1.0× 484 0.8× 549 1.2× 388 1.6× 476 2.3× 75 1.5k
Louis Dupaigne 1.1k 1.3× 729 1.2× 453 1.0× 205 0.9× 133 0.6× 39 1.3k

Countries citing papers authored by Alberto Tesei

Since Specialization
Citations

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

Fields of papers citing papers by Alberto Tesei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alberto Tesei

This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Tesei. A scholar is included among the top collaborators of Alberto Tesei 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 Alberto Tesei. Alberto Tesei 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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2026