Letizia Parato

18 total papers · 923 total citations
5 papers, 523 citations indexed

About

Letizia Parato is a scholar working on Nuclear and High Energy Physics, Biomedical Engineering and Aerospace Engineering. According to data from OpenAlex, Letizia Parato has authored 5 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Nuclear and High Energy Physics, 3 papers in Biomedical Engineering and 1 paper in Aerospace Engineering. Recurrent topics in Letizia Parato's work include Particle physics theoretical and experimental studies (4 papers), Superconducting Materials and Applications (3 papers) and High-Energy Particle Collisions Research (3 papers). Letizia Parato is often cited by papers focused on Particle physics theoretical and experimental studies (4 papers), Superconducting Materials and Applications (3 papers) and High-Energy Particle Collisions Research (3 papers). Letizia Parato collaborates with scholars based in Germany, France and Hungary. Letizia Parato's co-authors include Finn M. Stokes, S. D. Katz, Brigitta Tóth, Kiyotaka Miura, Thomas Lippert, Jana N. Guenther, Z. Fodor, Sz. Borsányi, Lukas Varnhorst and K. K. Szabó and has published in prestigious journals such as Nature, Proceedings of The 38th International Symposium on Lattice Field Theory — PoS(LATTICE2021) and Proceedings Of Science.

In The Last Decade

Letizia Parato

3 papers receiving 508 citations

Hit Papers

Leading hadronic contribu... 2021 2026 2022 2024 2021 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Letizia Parato 500 100 40 27 7 5 523
Cs. Török 533 1.1× 100 1.0× 44 1.1× 47 1.7× 11 1.6× 6 570
Kenneth Lane 608 1.2× 71 0.7× 25 0.6× 20 0.7× 4 0.6× 12 617
B. Malaescu 550 1.1× 107 1.1× 51 1.3× 19 0.7× 9 1.3× 13 570
L. S. Durkin 562 1.1× 121 1.2× 16 0.4× 23 0.9× 10 1.4× 5 573
Alexander Kurz 426 0.9× 64 0.6× 53 1.3× 34 1.3× 9 1.3× 6 451
Giuseppe Cocconi 466 0.9× 108 1.1× 19 0.5× 37 1.4× 26 3.7× 10 525
Pablo Sánchez-Puertas 550 1.1× 61 0.6× 40 1.0× 16 0.6× 6 0.9× 15 558
B. J. Blumenfeld 478 1.0× 22 0.2× 14 0.3× 13 0.5× 12 1.7× 17 502
V. Sordini 564 1.1× 108 1.1× 18 0.5× 17 0.6× 3 0.4× 20 587
H. Bøggild 438 0.9× 41 0.4× 10 0.3× 26 1.0× 23 3.3× 17 472

Countries citing papers authored by Letizia Parato

Since Specialization
Citations

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

Fields of papers citing papers by Letizia Parato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Letizia Parato

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