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.
The FLUKA Code: Developments and Challenges for High Energy and Medical Applications
20141.1k citationsTill T. Böhlen, F. Cerutti et al.profile →
The FLUKA code: description and benchmarking
2007806 citationsG. Battistoni, F. Cerutti et al.profile →
Overview of the FLUKA code
2014529 citationsG. Battistoni, F. Cerutti et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of F. Cerutti'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 F. Cerutti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Cerutti more than expected).
This network shows the impact of papers produced by F. Cerutti. 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 F. Cerutti. The network helps show where F. Cerutti may publish in the future.
Co-authorship network of co-authors of F. Cerutti
This figure shows the co-authorship network connecting the top 25 collaborators of F. Cerutti.
A scholar is included among the top collaborators of F. Cerutti 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 F. Cerutti. F. Cerutti is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Scapin, Martina, Lorenzo Peroni, V. Boccone, & F. Cerutti. (2013). A LS-DYNA/FLUKA COUPLING FOR THE NUMERICAL SIMULATION OF HIGH ENERGY PARTICLE BEAM INTERACTION WITH MATTER. QRU Quaderns de Recerca en Urbanisme.1 indexed citations
10.
Esposito, Luigi Salvatore, F. Cerutti, & E. Todesco. (2013). Fluka Energy Deposition Studies for the HL LHC. CERN Document Server (European Organization for Nuclear Research).10 indexed citations
11.
Lechner, Anton, Chiara Bracco, F. Cerutti, et al.. (2013). Energy Deposition Studies for Fast Losses during LHC Injection Failures. CERN Document Server (European Organization for Nuclear Research).2 indexed citations
12.
Esposito, Luigi Salvatore, et al.. (2013). POWER LOAD FROM COLLISION DEBRIS ON THE LHC POINT 8 INSERTION MAGNETS IMPLIED BY THE LHCB LUMINOSITY INCREASE. CERN Document Server (European Organization for Nuclear Research).1 indexed citations
Fassò, A., Johannes Ranft, P. Sala, et al.. (2012). FLUKA: Fully integrated particle physics Monte Carlo simulation package. Astrophysics Source Code Library.
15.
Cerutti, F., et al.. (2012). ACCELERATOR PHYSICS STUDIES ON THE EFFECTS FROM AN ASYNCHRONOUS BEAM DUMP ONTO THE LHC EXPERIMENTAL REGION COLLIMATORS. CERN Document Server (European Organization for Nuclear Research).2 indexed citations
16.
Ferrari, A., Anton Lechner, M.J. Barnes, et al.. (2012). UFOs IN THE LHC: OBSERVATIONS, STUDIES AND EXTRAPOLATIONS. Presented at. 3936–3938.7 indexed citations
17.
Sapinski, Mariusz, C. Hoa, Anton Lechner, et al.. (2012). ESTIMATION OF THRESHOLDS FOR THE SIGNALS OF THE BLMs AROUND THE LHC FINAL FOCUS TRIPLET MAGNETS. CERN Document Server (European Organization for Nuclear Research).2 indexed citations
18.
Cerutti, F., et al.. (2009). Energy Deposition Studies for the LHC Insertion Region Upgrade Phase-I. CERN Document Server (European Organization for Nuclear Research). 23(1). 52–5.1 indexed citations
Fassò, A., J. Ranft, P. Sala, et al.. (2003). The Physics models of FLUKA: Status and recent developments. arXiv (Cornell University).110 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.