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.
Non-Gaussianity from inflation: theory and observations
2004718 citationsN. Bartolo, S. Matarrese et al.profile →
Constraining warm dark matter candidates including sterile neutrinos and light gravitinos with WMAP and the Lyman-αforest
2005607 citationsS. Matarrese, Antonio Riotto et al.profile →
Towards a complete theory of thermal leptogenesis in the SM and MSSM
Countries citing papers authored by Antonio Riotto
Since
Specialization
Citations
This map shows the geographic impact of Antonio Riotto'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 Antonio Riotto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Riotto more than expected).
This network shows the impact of papers produced by Antonio Riotto. 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 Antonio Riotto. The network helps show where Antonio Riotto may publish in the future.
Co-authorship network of co-authors of Antonio Riotto
This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Riotto.
A scholar is included among the top collaborators of Antonio Riotto 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 Antonio Riotto. Antonio Riotto is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Biagetti, Matteo, Valerio De Luca, Gabriele Franciolini, Alex Kehagias, & Antonio Riotto. (2021). The formation probability of primordial black holes. Physics Letters B. 820. 136602–136602.70 indexed citations
Kehagias, Alex & Antonio Riotto. (2016). BMS in cosmology. Archive ouverte UNIGE (University of Geneva).29 indexed citations
13.
Ma, Chung‐Pei, Michele Maggiore, Antonio Riotto, & Jun Zhang. (2010). The Bias and Mass Function of Dark Matter Haloes in Non-Markovian Extension of the Excursion Set Theory. Archive ouverte UNIGE (University of Geneva).29 indexed citations
14.
Maggiore, Michele & Antonio Riotto. (2009). The halo mass function from the excursion set method. III. First principle derivation for non-Gaussian theories. arXiv (Cornell University).7 indexed citations
15.
Maggiore, Michele & Antonio Riotto. (2009). The halo mass function from the excursion set method. II. The diffusing barrier. arXiv (Cornell University).2 indexed citations
16.
Simone, Andrea De & Antonio Riotto. (2007). On resonant leptogenesis. Journal of Cosmology and Astroparticle Physics. 2007(8). 13–13.30 indexed citations
17.
Abada, Asmâa, et al.. (2006). Flavour issues in leptogenesis. Journal of Cosmology and Astroparticle Physics. 2006(4). 4–4.270 indexed citations
Bartolo, N., S. Matarrese, & Antonio Riotto. (2005). Non-Gaussianity of Large-Scale CMB Anisotropies beyond Perturbation Theory. arXiv (Cornell University).5 indexed citations
20.
Davidson, Sacha, M. Losada, & Antonio Riotto. (2000). A New Perspective on Baryogenesis. arXiv (Cornell University).7 indexed citations
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.