Emanuele Paolini

55 total papers · 480 total citations
33 papers, 268 citations indexed

About

Emanuele Paolini is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Mathematical Physics. According to data from OpenAlex, Emanuele Paolini has authored 33 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Applied Mathematics, 15 papers in Computational Theory and Mathematics and 8 papers in Mathematical Physics. Recurrent topics in Emanuele Paolini's work include Geometric Analysis and Curvature Flows (15 papers), Advanced Mathematical Modeling in Engineering (10 papers) and Point processes and geometric inequalities (9 papers). Emanuele Paolini is often cited by papers focused on Geometric Analysis and Curvature Flows (15 papers), Advanced Mathematical Modeling in Engineering (10 papers) and Point processes and geometric inequalities (9 papers). Emanuele Paolini collaborates with scholars based in Italy, Switzerland and Russia. Emanuele Paolini's co-authors include Eugene Stepanov, Matteo Novaga, Luigi Ambrosio, Bernard Dacorogna, Paolo Marcellini, Guido De Philippis, Giorgio Bellettini, Vincenzo Maria Tortorelli, Michele Miranda and Giulia Freer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Functional Analysis and SIAM Journal on Mathematical Analysis.

In The Last Decade

Emanuele Paolini

32 papers receiving 243 citations

Author Peers

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

Author Last Decade Papers Cites
Emanuele Paolini 171 113 87 44 35 33 268
Eugene Stepanov 175 1.0× 93 0.8× 84 1.0× 60 1.4× 31 0.9× 48 317
Ali H. M. Murid 141 0.8× 57 0.5× 33 0.4× 55 1.3× 41 1.2× 58 270
Endre Makai 169 1.0× 77 0.7× 68 0.8× 60 1.4× 8 0.2× 48 280
Jenny Harrison 125 0.7× 47 0.4× 159 1.8× 91 2.1× 33 0.9× 29 307
Hua Su 206 1.2× 28 0.2× 81 0.9× 59 1.3× 19 0.5× 41 329
Alexander Plakhov 63 0.4× 45 0.4× 62 0.7× 37 0.8× 15 0.4× 42 189
Bartłomiej Siudeja 113 0.7× 158 1.4× 147 1.7× 32 0.7× 49 1.4× 19 253
Salvador Moll 167 1.0× 121 1.1× 67 0.8× 22 0.5× 52 1.5× 28 288
Christoph Koutschan 43 0.3× 100 0.9× 34 0.4× 77 1.8× 29 0.8× 39 256
Natalia Zorii 148 0.9× 93 0.8× 124 1.4× 45 1.0× 22 0.6× 43 257

Countries citing papers authored by Emanuele Paolini

Since Specialization
Citations

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

Fields of papers citing papers by Emanuele Paolini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emanuele Paolini

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