Francesco Cordoni

501 total citations
42 papers, 302 citations indexed

About

Francesco Cordoni is a scholar working on Pulmonary and Respiratory Medicine, Finance and Radiation. According to data from OpenAlex, Francesco Cordoni has authored 42 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pulmonary and Respiratory Medicine, 15 papers in Finance and 12 papers in Radiation. Recurrent topics in Francesco Cordoni's work include Radiation Therapy and Dosimetry (16 papers), Stochastic processes and financial applications (15 papers) and Radiation Detection and Scintillator Technologies (7 papers). Francesco Cordoni is often cited by papers focused on Radiation Therapy and Dosimetry (16 papers), Stochastic processes and financial applications (15 papers) and Radiation Detection and Scintillator Technologies (7 papers). Francesco Cordoni collaborates with scholars based in Italy, United States and Netherlands. Francesco Cordoni's co-authors include Luca Di Persio, Emanuele Scifoni, Chiara La Tessa, Riccardo Muradore, A. Attili, Francesco Tommasino, Viorel Barbu, G. Bacchiega, Scott M. Welford and Giulia Di Nunno and has published in prestigious journals such as Automatica, Physics in Medicine and Biology and Journal of Mathematical Analysis and Applications.

In The Last Decade

Francesco Cordoni

39 papers receiving 300 citations

Peers

Francesco Cordoni

PRM

RADIA

RNMI

EEE

CSE

Yuriy Zinchenko Canada

Jimmy Olsson Sweden

Paul Liu United States

Tomoki Tanaka Japan

Taro Ueki United States

K. Hoshino Japan

Anne Koch Germany

Jonathan Jacky United States

Yannick Boursier France

Éric Fournié Germany

Yuriy Zinchenko Canada

Francesco Cordoni

86 ×0.7

PRM

128 ×1.3

RADIA

94 ×1.8

RNMI

10 ×0.2

EEE

14 ×0.3

CSE

Citations per year, relative to Francesco Cordoni Francesco Cordoni (= 1×) peers Yuriy Zinchenko

Countries citing papers authored by Francesco Cordoni

Since Specialization

Citations

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

Fields of papers citing papers by Francesco Cordoni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Cordoni

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Cordoni. A scholar is included among the top collaborators of Francesco Cordoni 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 Francesco Cordoni. Francesco Cordoni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Cordoni, Francesco, et al.. (2025). A multiscale radiation biophysical stochastic model describing the cell survival response at ultra-high dose rate under different oxygenations and radiation qualities. Radiotherapy and Oncology. 207. 110895–110895. 2 indexed citations

Bronk, Lawrence F., Fada Guan, David R. Grosshans, et al.. (2024). Validation of the generalized stochastic microdosimetric model (GSM 2 ) over a broad range of LET and particle beam type: a unique model for accurate description of (therapy relevant) radiation qualities. Physics in Medicine and Biology. 70(1). 15005–15005. 1 indexed citations

Cordoni, Francesco. (2024). A spatial measure-valued model for radiation-induced DNA damage kinetics and repair under protracted irradiation condition. Journal of Mathematical Biology. 88(2). 21–21. 3 indexed citations

Cordoni, Francesco, et al.. (2024). Identification of vector autoregressive models with nonlinear contemporaneous structure. Journal of Economic Dynamics and Control. 162. 104852–104852.

Cordoni, Francesco. (2023). On the Emergence of the Deviation from a Poisson Law in Stochastic Mathematical Models for Radiation-Induced DNA Damage: A System Size Expansion. Entropy. 25(9). 1322–1322. 5 indexed citations

Cordoni, Francesco, et al.. (2023). An artificial intelligence-based model for cell killing prediction: development, validation and explainability analysis of the ANAKIN model. Physics in Medicine and Biology. 68(8). 85017–85017. 7 indexed citations

Tessa, Chiara La, et al.. (2022). An exploratory study of machine learning techniques applied to therapeutic energies particle tracking in microdosimetry using the novel hybrid detector for microdosimetry (HDM). Physics in Medicine and Biology. 67(18). 185002–185002. 5 indexed citations

Cordoni, Francesco, Marco Durante, J. Gajewski, et al.. (2021). Study of relationship between dose, LET and the risk of brain necrosis after proton therapy for skull base tumors. Radiotherapy and Oncology. 163. 143–149. 19 indexed citations

Cordoni, Francesco, et al.. (2021). Linking Microdosimetric Measurements to Biological Effectiveness in Ion Beam Therapy: A Review of Theoretical Aspects of MKM and Other Models. Frontiers in Physics. 8. 31 indexed citations

10.

Cordoni, Francesco, et al.. (2021). Generalized stochastic microdosimetric model: The main formulation. Physical review. E. 103(1). 12412–12412. 17 indexed citations

11.

Perinelli, Alessio, Francesco Cordoni, M. Centis Vignali, et al.. (2021). A Novel Hybrid Microdosimeter for Radiation Field Characterization Based on the Tissue Equivalent Proportional Counter Detector and Low Gain Avalanche Detectors Tracker: A Feasibility Study. Frontiers in Physics. 8. 12 indexed citations

12.

Cordoni, Francesco, et al.. (2021). Cell Survival Computation via the Generalized Stochastic Microdosimetric Model (GSM2); Part I: The Theoretical Framework. Radiation Research. 197(3). 218–232. 13 indexed citations

13.

Cordoni, Francesco, et al.. (2020). A lending scheme for a system of interconnected banks with probabilistic constraints of failure. Institutional Research Information System (Università degli Studi di Trento).

14.

Albeverio, Sergio, et al.. (2019). Asymptotic expansion for some local volatility models arising in finance. Decisions in Economics and Finance. 42(2). 527–573. 4 indexed citations

15.

Cordoni, Francesco & Luca Di Persio. (2018). Optimal control for the stochastic fitzhugh-nagumo model with recovery variable. Institutional Research Information System (Università degli Studi di Trento). 9 indexed citations

16.

Cordoni, Francesco, et al.. (2018). Stochastic systems with memory and jumps. Journal of Differential Equations. 266(9). 5772–5820. 10 indexed citations

17.

Cordoni, Francesco & Luca Di Persio. (2017). Stochastic reaction-diffusion equations on networks with dynamic time-delayed boundary conditions. Journal of Mathematical Analysis and Applications. 451(1). 583–603. 6 indexed citations

18.

Cordoni, Francesco & Luca Di Persio. (2016). A BSDE with Delayed Generator Approach to Pricing under Counterparty Risk and Collateralization. International Journal of Stochastic Analysis. 2016. 1–11. 9 indexed citations

19.

Cordoni, Francesco & Luca Di Persio. (2015). Invariant measure for the Vasicek interest rate model in the Heath–Jarrow–Morton–Musiela framework. Infinite Dimensional Analysis Quantum Probability and Related Topics. 18(3). 1550022–1550022. 6 indexed citations

20.

Cordoni, Francesco & Luca Di Persio. (2014). LIE SYMMETRY APPROACH TO THE CEV MODEL. 13(3). 3 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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