Guido Macorini

64 total papers · 760 total citations
38 papers, 389 citations indexed

About

Guido Macorini is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Statistical and Nonlinear Physics. According to data from OpenAlex, Guido Macorini has authored 38 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Nuclear and High Energy Physics, 12 papers in Astronomy and Astrophysics and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in Guido Macorini's work include Black Holes and Theoretical Physics (28 papers), Particle physics theoretical and experimental studies (26 papers) and Quantum Chromodynamics and Particle Interactions (20 papers). Guido Macorini is often cited by papers focused on Black Holes and Theoretical Physics (28 papers), Particle physics theoretical and experimental studies (26 papers) and Quantum Chromodynamics and Particle Interactions (20 papers). Guido Macorini collaborates with scholars based in Italy, France and United Kingdom. Guido Macorini's co-authors include Matteo Beccaria, A.A. Tseytlin, C. Verzegnassi, Fedor Levkovich-Maslyuk, F. M. Renard, Luca Panizzi, Eleonora Alfinito, Валентина Форини, Edoardo Mirabella and F. Piccinini and has published in prestigious journals such as Physical Review Letters, Scientific Reports and Nuclear Physics B.

In The Last Decade

Guido Macorini

38 papers receiving 387 citations

Author Peers

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

Author Last Decade Papers Cites
Guido Macorini 350 154 90 39 33 38 389
Chi Xiong 227 0.6× 129 0.8× 145 1.6× 84 2.2× 49 1.5× 37 370
Jiang Long 309 0.9× 290 1.9× 144 1.6× 19 0.5× 69 2.1× 36 393
Alexander A. Reshetnyak 365 1.0× 127 0.8× 173 1.9× 49 1.3× 16 0.5× 41 384
Machiko Hatsuda 370 1.1× 189 1.2× 242 2.7× 84 2.2× 34 1.0× 37 398
Malcolm Ludvigsen 270 0.8× 275 1.8× 142 1.6× 32 0.8× 27 0.8× 30 365
Christian Ferko 322 0.9× 218 1.4× 200 2.2× 76 1.9× 50 1.5× 23 378
Chuan-Jie Zhu 343 1.0× 88 0.6× 98 1.1× 61 1.6× 36 1.1× 28 394
M. Abud 239 0.7× 35 0.2× 57 0.6× 32 0.8× 31 0.9× 32 344
Petarpa Boonserm 342 1.0× 378 2.5× 87 1.0× 13 0.3× 66 2.0× 26 437
Jun-Bao Wu 306 0.9× 134 0.9× 106 1.2× 54 1.4× 75 2.3× 23 386

Countries citing papers authored by Guido Macorini

Since Specialization
Citations

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

Fields of papers citing papers by Guido Macorini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guido Macorini

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