Michele Mesiti

64 total papers · 978 total citations
29 papers, 676 citations indexed

About

Michele Mesiti is a scholar working on Nuclear and High Energy Physics, Condensed Matter Physics and Computer Networks and Communications. According to data from OpenAlex, Michele Mesiti has authored 29 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Nuclear and High Energy Physics, 5 papers in Condensed Matter Physics and 3 papers in Computer Networks and Communications. Recurrent topics in Michele Mesiti's work include Quantum Chromodynamics and Particle Interactions (21 papers), High-Energy Particle Collisions Research (17 papers) and Particle physics theoretical and experimental studies (14 papers). Michele Mesiti is often cited by papers focused on Quantum Chromodynamics and Particle Interactions (21 papers), High-Energy Particle Collisions Research (17 papers) and Particle physics theoretical and experimental studies (14 papers). Michele Mesiti collaborates with scholars based in Italy, United Kingdom and Taiwan. Michele Mesiti's co-authors include Massimo D’Elia, Francesco Negro, Claudio Bonati, Francesco Sanfilippo, Marco Mariti, Maurizio Piai, Deog Ki Hong, Davide Vadacchino, Jong-Wan Lee and Giovanni Villadoro and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of High Energy Physics and Physical review. D.

In The Last Decade

Michele Mesiti

27 papers receiving 660 citations

Author Peers

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

Author Last Decade Papers Cites
Michele Mesiti 636 121 62 39 15 29 676
Siniša Veseli 448 0.7× 33 0.3× 32 0.5× 22 0.6× 16 1.1× 44 572
S. Teige 470 0.7× 166 1.4× 82 1.3× 19 0.5× 13 0.9× 44 603
Frithjof Karsch 597 0.9× 143 1.2× 125 2.0× 74 1.9× 7 0.5× 31 685
Alberto Ramos 674 1.1× 45 0.4× 49 0.8× 46 1.2× 15 1.0× 47 754
Marco Cè 543 0.9× 45 0.4× 40 0.6× 27 0.7× 4 0.3× 39 596
Rasmus Larsen 627 1.0× 91 0.8× 57 0.9× 33 0.8× 5 0.3× 24 680
V. Blobel 656 1.0× 32 0.3× 34 0.5× 17 0.4× 7 0.5× 28 703
María Elena Tejeda-Yeomans 723 1.1× 97 0.8× 46 0.7× 11 0.3× 6 0.4× 43 764
Vladimir Shevchenko 528 0.8× 126 1.0× 90 1.5× 34 0.9× 13 0.9× 28 610
C. Aidala 642 1.0× 30 0.2× 80 1.3× 19 0.5× 9 0.6× 43 692

Countries citing papers authored by Michele Mesiti

Since Specialization
Citations

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

Fields of papers citing papers by Michele Mesiti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Mesiti

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