Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Towards a precision calculation of the effective number of neutrinos Neff in the Standard Model. Part II. Neutrino decoupling in the presence of flavour oscillations and finite-temperature QED
2021201 citationsP.F. de Salas, Marco Drewes et al.Journal of Cosmology and Astroparticle Physicsprofile →
Neutrino cosmology after DESI: tightest mass upper limits, preference for the normal ordering, and tension with terrestrial observations
202542 citationsJun-Qian Jiang, William Giarè et al.Journal of Cosmology and Astroparticle Physicsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Stefano Gariazzo
Since
Specialization
Citations
This map shows the geographic impact of Stefano Gariazzo'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 Stefano Gariazzo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefano Gariazzo more than expected).
Fields of papers citing papers by Stefano Gariazzo
This network shows the impact of papers produced by Stefano Gariazzo. 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 Stefano Gariazzo. The network helps show where Stefano Gariazzo may publish in the future.
Co-authorship network of co-authors of Stefano Gariazzo
This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Gariazzo.
A scholar is included among the top collaborators of Stefano Gariazzo 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 Stefano Gariazzo. Stefano Gariazzo is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Jiang, Jun-Qian, William Giarè, Stefano Gariazzo, et al.. (2025). Neutrino cosmology after DESI: tightest mass upper limits, preference for the normal ordering, and tension with terrestrial observations. Journal of Cosmology and Astroparticle Physics. 2025(1). 153–153.42 indexed citations breakdown →
Salas, P.F. de, et al.. (2021). Towards a precision calculation of the effective number of neutrinos Neff in the Standard Model. Part II. Neutrino decoupling in the presence of flavour oscillations and finite-temperature QED. Journal of Cosmology and Astroparticle Physics. 2021(4). 73–73.201 indexed citations breakdown →
Valentino, Eleonora Di, Stefano Gariazzo, Olga Mena, & Sunny Vagnozzi. (2020). Soundness of dark energy properties. Journal of Cosmology and Astroparticle Physics. 2020(7). 45–45.47 indexed citations
15.
Salas, P.F. de, Stefano Gariazzo, Christoph A. Ternes, M. Tórtola, & Olga Mena. (2018). Neutrino Mass Ordering in 2018: Global Status. arXiv (Cornell University).11 indexed citations
Valentino, Eleonora Di, Stefano Gariazzo, Elena Giusarma, & Olga Mena. (2015). Robustness of cosmological axion mass limits. Physical review. D. Particles, fields, gravitation, and cosmology. 91(12).
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.