A. Ferrari

15.6k total citations · 3 hit papers
145 papers, 5.4k citations indexed

About

A. Ferrari is a scholar working on Pulmonary and Respiratory Medicine, Radiation and Nuclear and High Energy Physics. According to data from OpenAlex, A. Ferrari has authored 145 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Pulmonary and Respiratory Medicine, 80 papers in Radiation and 47 papers in Nuclear and High Energy Physics. Recurrent topics in A. Ferrari's work include Radiation Therapy and Dosimetry (100 papers), Radiation Detection and Scintillator Technologies (50 papers) and Radiation Effects in Electronics (39 papers). A. Ferrari is often cited by papers focused on Radiation Therapy and Dosimetry (100 papers), Radiation Detection and Scintillator Technologies (50 papers) and Radiation Effects in Electronics (39 papers). A. Ferrari collaborates with scholars based in Switzerland, Italy and Germany. A. Ferrari's co-authors include P. Sala, F. Cerutti, A. Fassò, G. Battistoni, A. Mairani, Till T. Böhlen, V. Vlachoudis, Pablo G. Ortega, S. Roesler and M. Chin and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

A. Ferrari

136 papers receiving 5.2k citations

Hit Papers

The FLUKA Code: Developments and Challenges for High E... 2007 2026 2013 2019 2014 2007 2014 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
A. Ferrari Switzerland 33 3.5k 3.4k 1.2k 1.2k 782 145 5.4k
P. Sala Italy 28 2.6k 0.8× 2.8k 0.8× 905 0.7× 1.5k 1.3× 785 1.0× 172 5.0k
F. Cerutti Switzerland 23 2.1k 0.6× 2.2k 0.7× 866 0.7× 1.4k 1.2× 674 0.9× 118 4.2k
Lembit Sihver Sweden 27 2.2k 0.6× 2.4k 0.7× 558 0.4× 750 0.6× 812 1.0× 162 4.3k
A. Fassò Switzerland 19 1.8k 0.5× 2.0k 0.6× 637 0.5× 892 0.8× 722 0.9× 76 3.4k
G. Battistoni Italy 24 1.7k 0.5× 1.9k 0.6× 704 0.6× 941 0.8× 432 0.6× 135 3.2k
A. Mairani Italy 30 2.7k 0.8× 2.6k 0.8× 866 0.7× 387 0.3× 345 0.4× 94 3.4k
Susanna Guatelli Australia 32 2.8k 0.8× 2.5k 0.7× 821 0.7× 322 0.3× 455 0.6× 234 4.0k
D. Schardt Germany 34 2.9k 0.8× 3.2k 0.9× 802 0.6× 1.4k 1.2× 275 0.4× 143 4.7k
S. Roesler Switzerland 22 1.3k 0.4× 1.4k 0.4× 482 0.4× 920 0.8× 532 0.7× 111 2.7k
Pablo G. Ortega Spain 20 1.3k 0.4× 1.4k 0.4× 394 0.3× 1.2k 1.0× 396 0.5× 71 2.8k

Countries citing papers authored by A. Ferrari

Since Specialization
Citations

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

Fields of papers citing papers by A. Ferrari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Ferrari

This figure shows the co-authorship network connecting the top 25 collaborators of A. Ferrari. A scholar is included among the top collaborators of A. Ferrari 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 A. Ferrari. A. Ferrari 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.
Carante, Mario Pietro, et al.. (2024). A method to predict space radiation biological effectiveness for non-cancer effects following intense Solar Particle Events. Life Sciences in Space Research. 41. 210–217. 3 indexed citations
2.
Carante, Mario Pietro, et al.. (2024). Radiation exposure of astronauts following an intense solar particle event: analysis and comparison of doses in male and female voxel phantoms. Journal of Radiological Protection. 44(4). 41502–41502.
3.
Carante, Mario Pietro, et al.. (2023). A Mission to Mars: Prediction of GCR Doses and Comparison with Astronaut Dose Limits. International Journal of Molecular Sciences. 24(3). 2328–2328. 10 indexed citations
4.
Carante, Mario Pietro, et al.. (2023). Space radiation damage: calculation of astronauts‘ doses and comparison with dose limits. Book of Abstracts. 7 indexed citations
5.
Storà, Thierry, E. Fiorina, Ricardo Augusto, et al.. (2022). Technical Design Report for a Carbon-11 Treatment Facility. Frontiers in Medicine. 8. 697235–697235. 4 indexed citations
6.
Carante, Mario Pietro, A. Ferrari, Giuseppe Magro, et al.. (2022). First application of the BIANCA biophysical model to carbon-ion patient cases. Physics in Medicine and Biology. 67(11). 115013–115013. 3 indexed citations
7.
Carante, Mario Pietro, A. Ferrari, A. Mairani, et al.. (2021). Biological effectiveness of He-3 and He-4 ion beams for cancer hadrontherapy: a study based on the BIANCA biophysical model. Physics in Medicine and Biology. 66(19). 195009–195009. 10 indexed citations
8.
Mazziotta, M. N., Pedro De la Torre Luque, L. Di Venere, et al.. (2020). Cosmic-ray interactions with the Sun using the fluka code. Physical review. D. 101(8). 19 indexed citations
9.
Carante, Mario Pietro, et al.. (2019). First benchmarking of the BIANCA model for cell survival prediction in a clinical hadron therapy scenario. Physics in Medicine and Biology. 64(21). 215008–215008. 16 indexed citations
10.
Mein, Stewart, Benedikt Kopp, Thomas Tessonnier, et al.. (2019). Dosimetric validation of Monte Carlo and analytical dose engines with raster-scanning 1H, 4He, 12C, and 16O ion-beams using an anthropomorphic phantom. Physica Medica. 64. 123–131. 19 indexed citations
11.
Tessonnier, Thomas, Till T. Böhlen, A. Ferrari, et al.. (2017). Dosimetric verification in water of a Monte Carlo treatment planning tool for proton, helium, carbon and oxygen ion beams at the Heidelberg Ion Beam Therapy Center. Physics in Medicine and Biology. 62(16). 6579–6594. 42 indexed citations
12.
Böhlen, Till T., Julia Bauer, Manjit Dosanjh, et al.. (2013). A Monte Carlo-based treatment-planning tool for ion beam therapy. Journal of Radiation Research. 54(suppl 1). i77–i81. 41 indexed citations
13.
Rinaldi, Ilaria, A. Ferrari, A. Mairani, et al.. (2011). An integral test of FLUKA nuclear models with 160 MeV proton beams in multi-layer Faraday cups. Physics in Medicine and Biology. 56(13). 4001–4011. 11 indexed citations
14.
Fassò, A., A. Ferrari, & P. Sala. (2009). Radiation transport calculations and simulations. Radiation Protection Dosimetry. 137(1-2). 118–133. 6 indexed citations
15.
Wilson, Thomas L., L. Pinsky, A. Empl, et al.. (2005). Event Generators for Simulating Heavy Ion Interactions of Interest in Evaluating Risks in Human Spaceflight.
16.
Ballarini, F., G. Battistoni, Mauro Campanella, et al.. (2004). The fluka code for space applications: recent developments. Advances in Space Research. 34(6). 1302–1310. 76 indexed citations
17.
Ballarini, F., et al.. (2002). Modelling the Influence of Shielding on Physical and Biological Organ Doses. Journal of Radiation Research. 43(S). S99–S102. 5 indexed citations
18.
Ferrari, A. & P. Sala. (2002). Nuclear Reactions in Monte Carlo Codes. Radiation Protection Dosimetry. 99(1). 29–38. 9 indexed citations
19.
Ferrari, A., et al.. (2002). Study of the Dosimetric Characteristics of Cosmic Radiation at Civil Aviation Altitudes. Radiation Protection Dosimetry. 102(4). 305–314.
20.
Ferrari, A., et al.. (2001). A reference radiation facility for dosimetry at flight altitude and in space.. PubMed. 17 Suppl 1. 115–8. 2 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.

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