Letizia Parato

942 citations
5 papers · 534 indexed · 1 hit paper · h-index 3
Journals
Nature (1 paper)Proceedings of The 38th International Symposium on Lattice Field Theory — PoS(LATTICE2021) (2 papers)Proceedings Of Science (2 papers)
Partner nations
GermanyFranceHungary

In The Last Decade

Letizia Parato

3 papers receiving 520 citations

Hit Papers

Leading hadronic contribution to the muon magnetic moment...5232021202620222024100200300400500

Peers

Letizia Parato
Comparison fields: 5 of 31
  • Nuclear and High Energy Physics 511
  • Astronomy and Astrophysics 101
  • Artificial Intelligence 42
  • Atomic and Molecular Physics, and Optics 29
  • Statistics and Probability 6
Replace M. Reboud with:
M. Reboud Germany
Cs. Török Hungary
Dean J. Robinson United States
Diego Guadagnoli France
Marco Fedele Italy
Junichiro Kawamura Japan
Jui-yu Chiu United States
Alejandro Celis Germany
Bai-Long Hoid Switzerland
V. Sordini France
Letizia Parato relative to M. Reboud Germany M. Reboud's profile →
Citations per field
00.5×3.5×
M. Reboud · 1×
Citations per year

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

The 22 scholars most cited alongside Letizia Parato, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Letizia Parato Line = papers co-authored together Letizia Parato links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 20250
2 20250
3 20224
4 20227
5
Leading hadronic contribution to the muon magnetic moment from lattice QCDbreakdown →
2021523

About Letizia Parato

Letizia Parato is a scholar working on Nuclear and High Energy Physics, Biomedical Engineering and Aerospace Engineering, having authored 5 papers that have together received 534 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (4 papers), Quantum Chromodynamics and Particle Interactions (3 papers), High-Energy Particle Collisions Research (3 papers), Superconducting Materials and Applications (3 papers) and Particle accelerators and beam dynamics (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (511 citations), Astronomy and Astrophysics (101 citations) and Artificial Intelligence (42 citations). Letizia Parato has collaborated with scholars based in Germany, France and Hungary. Frequent co-authors include Cs. Török, Lukas Varnhorst, Sz. Borsányi, Laurent Lellouch, Jana N. Guenther, Finn M. Stokes, Christian Hoelbling, S. D. Katz, Z. Fodor and Thomas Lippert. Their work appears in journals such as Nature, Proceedings of The 38th International Symposium on Lattice Field Theory — PoS(LATTICE2021) and Proceedings Of Science.

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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