Matteo Sacchi

54 total papers · 499 total citations
28 papers, 319 citations indexed

About

Matteo Sacchi is a scholar working on Nuclear and High Energy Physics, Statistical and Nonlinear Physics and Geometry and Topology. According to data from OpenAlex, Matteo Sacchi has authored 28 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Nuclear and High Energy Physics, 10 papers in Statistical and Nonlinear Physics and 8 papers in Geometry and Topology. Recurrent topics in Matteo Sacchi's work include Black Holes and Theoretical Physics (22 papers), Quantum Chromodynamics and Particle Interactions (10 papers) and Particle physics theoretical and experimental studies (8 papers). Matteo Sacchi is often cited by papers focused on Black Holes and Theoretical Physics (22 papers), Quantum Chromodynamics and Particle Interactions (10 papers) and Particle physics theoretical and experimental studies (8 papers). Matteo Sacchi collaborates with scholars based in Italy, United Kingdom and United States. Matteo Sacchi's co-authors include Noppadol Mekareeya, Chiung Hwang, Sara Pasquetti, Gabi Zafrir, Simone Giacomelli, Shlomo S. Razamat, Lea E. Bottini, Sergio Benvenuti, Ki-Hong Lee and Monica Jinwoo Kang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of High Energy Physics and Annals of Physics.

In The Last Decade

Matteo Sacchi

26 papers receiving 316 citations

Author Peers

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

Author Last Decade Papers Cites
Matteo Sacchi 267 124 97 72 50 28 319
Antoine Bourget 290 1.1× 99 0.8× 120 1.2× 46 0.6× 42 0.8× 18 346
Kazuyasu Shigemoto 184 0.7× 97 0.8× 53 0.5× 77 1.1× 31 0.6× 43 274
Sylvain Lacroix 246 0.9× 196 1.6× 183 1.9× 35 0.5× 47 0.9× 23 303
Noriyasu Ohtsubo 306 1.1× 108 0.9× 87 0.9× 70 1.0× 32 0.6× 21 344
Zbigniew Jaskólski 269 1.0× 135 1.1× 133 1.4× 69 1.0× 48 1.0× 24 287
Shoichi Kawamoto 270 1.0× 164 1.3× 50 0.5× 98 1.4× 22 0.4× 24 313
Franco Pezzella 261 1.0× 100 0.8× 65 0.7× 125 1.7× 28 0.6× 29 295
Murad Alim 200 0.7× 105 0.8× 174 1.8× 36 0.5× 69 1.4× 15 274
O. Lisovyy 117 0.4× 103 0.8× 103 1.1× 45 0.6× 39 0.8× 18 224
Shotaro Shiba 261 1.0× 160 1.3× 83 0.9× 122 1.7× 21 0.4× 22 350

Countries citing papers authored by Matteo Sacchi

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Sacchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Sacchi

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