Publications of Federico Benvenuto ordered by citations
A list of publications authored or co-authored by Federico Benvenuto, derived from the SAO/NASA Astrophysics Data System (ADS) and ordered by the numbers of citations.
Orcid ID: 0000-0002-4776-0256
Number of papers: 31
No. of citations: 732
| 134
| Forecasting Solar Flares Using Magnetogram-based Predictors and Machine Learning
Florios, Kostas, Kontogiannis, Ioannis, Park, Sung-Hong, Guerra, Jordan A., Benvenuto, Federico, Bloomfield, D. Shaun & Georgoulis, Manolis K., 2018, Solar Physics, 293, 28
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| 63
| The flare likelihood and region eruption forecasting (FLARECAST) project: flare forecasting in the big data & machine learning era
Georgoulis, Manolis K., Bloomfield, D. Shaun, Piana, Michele, Massone, Anna Maria, Soldati, Marco, Gallagher, Peter T., Pariat, Etienne, Vilmer, Nicole, Buchlin, Eric, Baudin, Frederic, Csillaghy, Andre, Sathiapal, Hanna, Jackson, David R., Alingery, Pablo, Benvenuto, Federico, Campi, Cristina, Florios, Konstantinos, Gontikakis, Constantinos, Guennou, Chloe, Guerra, Jordan A., Kontogiannis, Ioannis, Latorre, Vittorio, Murray, Sophie A., Park, Sung-Hong, von Stachelski, Samuelvon, Torbica, Aleksandar, Vischi, Dario & Worsfold, Mark, 2021, Journal of Space Weather and Space Climate, 11, 39
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| 58
| A Hybrid Supervised/Unsupervised Machine Learning Approach to Solar Flare Prediction
Benvenuto, Federico, Piana, Michele, Campi, Cristina & Massone, Anna Maria, 2018, ApJ, 853, 90
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| 55
| Feature Ranking of Active Region Source Properties in Solar Flare Forecasting and the Uncompromised Stochasticity of Flare Occurrence
Campi, Cristina, Benvenuto, Federico, Massone, Anna Maria, Bloomfield, D. Shaun, Georgoulis, Manolis K. & Piana, Michele, 2019, ApJ, 883, 150
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| 54
| MEM_GE: A New Maximum Entropy Method for Image Reconstruction from Solar X-Ray Visibilities
Massa, Paolo, Schwartz, Richard, Tolbert, A. Kim, Massone, Anna Maria, Dennis, Brian R., Piana, Michele & Benvenuto, Federico, 2020, ApJ, 894, 46
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| 36
| Determination of the acceleration region size in a loop-structured solar flare
Guo, J., Emslie, A. G., Kontar, E. P., Benvenuto, F., Massone, A. M. & Piana, M., 2012, A&A, 543, A53
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| 30
| Nonnegative least-squares image deblurring: improved gradient projection approaches
Benvenuto, F., Zanella, R., Zanni, L. & Bertero, M., 2010, Inverse Problems, 26, 025004
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| 30
| Implementation paradigm for supervised flare forecasting studies: A deep learning application with video data
Guastavino, Sabrina, Marchetti, Francesco, Benvenuto, Federico, Campi, Cristina & Piana, Michele, 2022, A&A, 662, A105
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| 28
| STIX X-ray microflare observations during the Solar Orbiter commissioning phase
Battaglia, Andrea Francesco, Saqri, Jonas, Massa, Paolo, Perracchione, Emma, Dickson, Ewan C. M., Xiao, Hualin, Veronig, Astrid M., Warmuth, Alexander, Battaglia, Marina, Hurford, Gordon J., Meuris, Aline, Limousin, Olivier, Etesi, László, Maloney, Shane A., Schwartz, Richard A., Kuhar, Matej, Schuller, Frederic, Senthamizh Pavai, Valliappan, Musset, Sophie, Ryan, Daniel F., Kleint, Lucia, Piana, Michele, Massone, Anna Maria, Benvenuto, Federico, Sylwester, Janusz, Litwicka, Michalina, Stȩślicki, Marek, Mrozek, Tomasz, Vilmer, Nicole, Fárník, František, Kašparová, Jana, Mann, Gottfried, Gallagher, Peter T., Dennis, Brian R., Csillaghy, André, Benz, Arnold O. & Krucker, Säm, 2021, A&A, 656, A4
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| 28
| Count-based imaging model for the Spectrometer/Telescope for Imaging X-rays (STIX) in Solar Orbiter
Massa, Paolo, Piana, Michele, Massone, Anna Maria & Benvenuto, Federico, 2019, A&A, 624, A130
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| 27
| Expectation maximization for hard X-ray count modulation profiles
Benvenuto, F., Schwartz, R., Piana, M. & Massone, A. M., 2013, A&A, 555, A61
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| 25
| Flare-forecasting Algorithms Based on High-gradient Polarity Inversion Lines in Active Regions
Cicogna, Domenico, Berrilli, Francesco, Calchetti, Daniele, Del Moro, Dario, Giovannelli, Luca, Benvenuto, Federico, Campi, Cristina, Guastavino, Sabrina & Piana, Michele, 2021, ApJ, 915, 38
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| 25
| The STIX Imaging Concept
Massa, Paolo, Hurford, Gordon J., Volpara, Anna, Kuhar, Matej, Battaglia, Andrea F., Xiao, Hualin, Casadei, Diego, Perracchione, Emma, Garbarino, Sara, Guastavino, Sabrina, Collier, Hannah, Dickson, Ewan C. M., Emslie, A. Gordon, Ryan, Daniel F., Maloney, Shane A., Schuller, Frederic, Warmuth, Alexander, Massone, Anna Maria, Benvenuto, Federico, Piana, Michele & Krucker, Säm, 2023, Solar Physics, 298, 114
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| 25
| The study of an iterative method for the reconstruction of images corrupted by Poisson and Gaussian noise
Benvenuto, F., La Camera, A., Theys, C., Ferrari, A., Lantéri, H. & Bertero, M., 2008, Inverse Problems, 24, 035016
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| 15
| Iterative deconvolution and semiblind deconvolution methods in magnetic archaeological prospecting
Zunino, Andrea, Benvenuto, Federico, Armadillo, Egidio, Bertero, Mario & Bozzo, Emanuele, 2009, Geophysics, 74, L43
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| 14
| Physics-driven Machine Learning for the Prediction of Coronal Mass Ejections' Travel Times
Guastavino, Sabrina, Candiani, Valentina, Bemporad, Alessandro, Marchetti, Francesco, Benvenuto, Federico, Massone, Anna Maria, Mancuso, Salvatore, Susino, Roberto, Telloni, Daniele, Fineschi, Silvano & Piana, Michele, 2023, ApJ, 954, 151
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| 12
| Desaturating SDO/AIA Observations of Solar Flaring Storms
Guastavino, Sabrina, Piana, Michele, Massone, Anna Maria, Schwartz, Richard & Benvenuto, Federico, 2019, ApJ, 882, 109
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| 12
| Regularization of multiplicative iterative algorithms with nonnegative constraint
Benvenuto, Federico & Piana, Michele, 2014, Inverse Problems, 30, 035012
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| 12
| Machine Learning as a Flaring Storm Warning Machine: Was a Warning Machine for the 2017 September Solar Flaring Storm Possible?
Benvenuto, F., Campi, C., Massone, A. M. & Piana, M., 2020, ApJ, 904, L7
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| 10
| Inverse diffraction for the Atmospheric Imaging Assembly in the Solar Dynamics Observatory
Torre, G., Schwartz, R. A., Benvenuto, F., Massone, A. M. & Piana, M., 2015, Inverse Problems, 31, 095006
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| 8
| A novel description of FDG excretion in the renal system: application to metformin-treated models
Garbarino, S., Caviglia, G., Sambuceti, G., Benvenuto, F. & Piana, M., 2014, Physics in Medicine and Biology, 59, 2469
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| 7
| Bad and Good Errors: Value-Weighted Skill Scores in Deep Ensemble Learning
Guastavino, Sabrina, Piana, Michele & Benvenuto, Federico, 2024, IEEE Transactions on Neural Networks and Learning Systems, 35, 1993
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| 6
| The Solar Particle Acceleration Radiation and Kinetics (SPARK) Mission Concept
Reid, Hamish A. S., Musset, Sophie, Ryan, Daniel F., Andretta, Vincenzo, Auchère, Frédéric, Baker, Deborah, Benvenuto, Federico, Browning, Philippa, Buchlin, Éric, Calcines Rosario, Ariadna, Christe, Steven D., Corso, Alain Jody, Dahlin, Joel, Dalla, Silvia, Del Zanna, Giulio, Denker, Carsten, Dudík, Jaroslav, Erdélyi, Robertus, Ermolli, Ilaria, Fletcher, Lyndsay, Fludra, Andrzej, Green, Lucie M., Gordovskyy, Mykola, Guglielmino, Salvo L., Hannah, Iain, Harrison, Richard, Hayes, Laura A., Inglis, Andrew R., Jeffrey, Natasha L. S., Kašparová, Jana, Kerr, Graham S., Kintziger, Christian, Kontar, Eduard P., Krucker, Säm, Laitinen, Timo, Laurent, Philippe, Limousin, Olivier, Long, David M., Maloney, Shane A., Massa, Paolo, Massone, Anna Maria, Matthews, Sarah, Mrozek, Tomasz, Nakariakov, Valery M., Parenti, Susanna, Piana, Michele, Polito, Vanessa, Pesce-Rollins, Melissa, Romano, Paolo, Rouillard, Alexis P., Sasso, Clementina, Shih, Albert Y., Stęślicki, Marek, Orozco Suárez, David, Teriaca, Luca, Verma, Meetu, Veronig, Astrid M., Vilmer, Nicole, Vocks, Christian & Warmuth, Alexander, 2023, Aerospace, 10, 1034
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| 5
| Flare forecasting and feature ranking using SDO/HMI data
Piana, M., Campi, C., Benvenuto, F., Guastavino, , S. & Massone, A. M., 2019, Nuovo Cimento C Geophysics Space Physics C, 42, 30
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| 4
| A mathematical model for image saturation with an application to the restoration of solar images via adaptive sparse deconvolution
Guastavino, S. & Benvenuto, F., 2021, Inverse Problems, 37, 015010
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| 3
| Predictive risk estimation for the expectation maximization algorithm with Poisson data
Massa, Paolo & Benvenuto, Federico, 2021, Inverse Problems, 37, 045013
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| 3
| A parameter choice rule for Tikhonov regularization based on predictive risk
Benvenuto, Federico & Jin, Bangti, 2020, Inverse Problems, 36, 065004
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| 2
| Joint myopic deconvolution
Benvenuto, F. & Ferrari, A., 2010, Inverse Problems, 26, 105011
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| 1
| Corrigendum: The study of an iterative method for the reconstruction of images corrupted by Poisson and Gaussian noise
Benvenuto, F., La Camera, A., Theys, C., Ferrari, A., Lantéri, H. & Bertero, M., 2012, Inverse Problems, 28, 069502
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| 0
| FLARECAST: An I4.0 Technology for Space Weather Using Satellite Data
Piana, Michele, Benvenuto, Federico, Massone, Anna Maria & Campi, Cristina, 2018, 2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI), p. 55
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| 0
| Approximation of discontinuous inverse operators with neural networks
Massa, Paolo, Garbarino, Sara & Benvenuto, Federico, 2022, Inverse Problems, 38, 105001
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Created on Wed Apr 22 04:35:40 2026.
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