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. Publications above the horizontal line count towards the h-index.

Orcid ID: 0000-0002-4776-0256

110	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
48	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
44	A Hybrid Supervised/Unsupervised Machine Learning Approach to Solar Flare Prediction Benvenuto, Federico, Piana, Michele, Campi, Cristina & Massone, Anna Maria, 2018, ApJ, 853, 90
42	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
35	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
33	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
27	Nonnegative least-squares image deblurring: improved gradient projection approaches Benvenuto, F., Zanella, R., Zanni, L. & Bertero, M., 2010, Inverse Problems, 26, 025004
24	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
23	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
21	Expectation maximization for hard X-ray count modulation profiles Benvenuto, F., Schwartz, R., Piana, M. & Massone, A. M., 2013, A&A, 555, A61
20	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
17	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
16	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
14	Iterative deconvolution and semiblind deconvolution methods in magnetic archaeological prospecting Zunino, Andrea, Benvenuto, Federico, Armadillo, Egidio, Bertero, Mario & Bozzo, Emanuele, 2009, Geophysics, 74, L43
13	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
12	Regularization of multiplicative iterative algorithms with nonnegative constraint Benvenuto, Federico & Piana, Michele, 2014, Inverse Problems, 30, 035012
11	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
9	Desaturating SDO/AIA Observations of Solar Flaring Storms Guastavino, Sabrina, Piana, Michele, Massone, Anna Maria, Schwartz, Richard & Benvenuto, Federico, 2019, ApJ, 882, 109
8	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
7	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
7	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
4	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
3	A parameter choice rule for Tikhonov regularization based on predictive risk Benvenuto, Federico & Jin, Bangti, 2020, Inverse Problems, 36, 065004
3	Predictive risk estimation for the expectation maximization algorithm with Poisson data Massa, Paolo & Benvenuto, Federico, 2021, Inverse Problems, 37, 045013
2	Joint myopic deconvolution Benvenuto, F. & Ferrari, A., 2010, Inverse Problems, 26, 105011
2	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
2	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
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
0	Approximation of discontinuous inverse operators with neural networks Massa, Paolo, Garbarino, Sara & Benvenuto, Federico, 2022, Inverse Problems, 38, 105001