Most cited papers from Fondazione Bruno Kessler

Fondazione Bruno Kessler

What are the most cited papers from Fondazione Bruno Kessler?

The most cited paper from Fondazione Bruno Kessler is "SciPy 1.0: fundamental algorithms for scientific computing in Python" (Pauli Virtanen et al., 2020), with 40,161 citations. Next come "The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation" (6,216) and "Baseline Characteristics and Outcomes of 1591 Patients Infected With SARS-CoV-2 Admitted to ICUs of the Lombardy Region, Italy" (5,912).

Published TypeFieldAccessAuthorsCitations

Showing 50 of 60 papers. Every paper with more than 448 citations is listed.

Most cited papers, sortable by citations and release date
#	Paper
1	SciPy 1.0: fundamental algorithms for scientific computing in Python Pauli Virtanen et al. · Nature Methods Open access112 authors	3 Feb 2020	40,161
2	The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation Davide Chicco, Giuseppe Jurman · BMC Genomics Open access	2 Jan 2020	6,216
3	Baseline Characteristics and Outcomes of 1591 Patients Infected With SARS-CoV-2 Admitted to ICUs of the Lombardy Region, Italy Giacomo Grasselli et al. · JAMA Open access114 authors	6 Apr 2020	5,912
4	The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation Davide Chicco, Matthijs J. Warrens, Giuseppe Jurman · PeerJ Computer Science Open access	5 Jul 2021	5,323
5	The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak Matteo Chinazzi, Jessica T. Davis, Marco Ajelli et al. · Science Open access	6 Mar 2020	4,037
6	Internet of things: Vision, applications and research challenges Daniele Miorandi, Sabrina Sicari, Francesco De Pellegrini et al. · Ad Hoc Networks Open access	21 Apr 2012	3,604
7	Science and technology roadmap for graphene, related two-dimensional crystals, and hybrid systems Andrea Carlo Ferrari et al. · Nanoscale Open access	22 Sep 2014	3,057
8	The Einstein Telescope: a third-generation gravitational wave observatory M. Punturo et al. · Classical and Quantum Gravity Open access135 authors	21 Sep 2010	2,455
9	A promoter-level mammalian expression atlas Alistair R. R. Forrest et al. · Nature Open access261 authors	Mar 2014	2,221
10	UAV for 3D mapping applications: a review Francesco Nex, Fabio Remondino · Applied Geomatics	7 Nov 2013	1,892
11	Networks beyond pairwise interactions: Structure and dynamics Federico Battiston, Giulia Cencetti, Iacopo Iacopini et al. · Physics Reports Open access	13 Jun 2020	1,596
12	Changes in contact patterns shape the dynamics of the COVID-19 outbreak in China Juanjuan Zhang, Maria Litvinova, Yuxia Liang et al. · Science Open access	29 Apr 2020	1,348
13	ADJUST: An automatic EEG artifact detector based on the joint use of spatial and temporal features Andrea Mognon, Jorge Jovicich, Lorenzo Bruzzone et al. · Psychophysiology Open access	16 Jul 2010	1,341
14	Variability in the analysis of a single neuroimaging dataset by many teams Rotem Botvinik‐Nezer et al. · Nature Open access197 authors	20 May 2020	1,226
15	Technologies for Printing Sensors and Electronics Over Large Flexible Substrates: A Review Saleem Khan, Leandro Lorenzelli, Ravinder Dahiya · IEEE Sensors Journal Open access	4 Dec 2014	1,221
16	Networks beyond pairwise interactions: Structure and dynamics Battiston, F, Cencetti, G, Iacopini, I et al. · UCL Discovery (University College London)	25 Aug 2020	1,219
17	Sensitivity studies for third-generation gravitational wave observatories S. Hild et al. · Classical and Quantum Gravity Open access139 authors	19 Apr 2011	1,167
18	ONOS Pankaj Berde, Matteo Gerola, Jonathan Hart et al. Conference paperOpen access	12 Aug 2014	1,126
19	A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium Zhenqiang Su et al. · Nature Biotechnology Open access161 authors	21 Aug 2014	1,092
20	Heritage Recording and 3D Modeling with Photogrammetry and 3D Scanning Fabio Remondino · Remote Sensing Open access	30 May 2011	982
21	The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation Davide Chicco, Niklas Tötsch, Giuseppe Jurman · BioData Mining Open access	4 Feb 2021	928
22	The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models Leming M. Shi et al. · Nature Biotechnology Open access201 authors	30 Jul 2010	922
23	Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning Pablo Gaínza, Freyr Sverrisson, Federico Monti et al. · Nature Methods Open access	9 Dec 2019	907
24	Applications of Blockchains in the Internet of Things: A Comprehensive Survey Muhammad Salek Ali, Massimo Vecchio, Miguel Pincheira et al. · IEEE Communications Surveys & Tutorials Open access	18 Dec 2018	867
25	Blockchain-based traceability in Agri-Food supply chain management: A practical implementation Miguel Pincheira, Muhammad Salek Ali, Massimo Vecchio et al. Conference paperOpen access	May 2018	860
26	Modelling the impact of testing, contact tracing and household quarantine on second waves of COVID-19 Alberto Aleta, David Martín-Corral, Ana Pastore y Piontti et al. · Nature Human Behaviour Open access	5 Aug 2020	853
27	Evaluating Multispectral Images and Vegetation Indices for Precision Farming Applications from UAV Images Sebastian Candiago, Fabio Remondino, Michaela De Giglio et al. · Remote Sensing Open access	2 Apr 2015	786
28	Observation of a Narrow Pentaquark State, P c ( 4312 ) + , and of the Two-Peak Structure of the P c ( 4450 ) + R. Aaij et al. · Physical Review Letters Open access871 authors	5 Jun 2019	742
29	Evolving epidemiology and transmission dynamics of coronavirus disease 2019 outside Hubei province, China: a descriptive and modelling study Juanjuan Zhang et al. · The Lancet Infectious Diseases Open access	2 Apr 2020	722
30	Gut microbiota profiling of pediatric nonalcoholic fatty liver disease and obese patients unveiled by an integrated meta‐omics‐based approach Federica D. Del Chierico, Valério Nobili, Pamela Vernocchi et al. · Hepatology	30 Mar 2016	722
31	UAV PHOTOGRAMMETRY FOR MAPPING AND 3D MODELING – CURRENT STATUS AND FUTURE PERSPECTIVES Fabio Remondino, Luigi Barazzetti, Francesco Nex et al. · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences Open access	6 Sep 2012	708
32	Fair, Transparent, and Accountable Algorithmic Decision-making Processes Bruno Lepri, Nuria Oliver, Emmanuel Letouzé et al. · Philosophy & Technology	14 Aug 2017	705
33	An introduction to Deep Learning in Natural Language Processing: Models, techniques, and tools Ivano Lauriola, Alberto Lavelli, Fabio Aiolli · Neurocomputing	22 Jul 2021	698
34	Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle Nuria Oliver et al. · Science Advances Open access	27 Apr 2020	694
35	A SICK cure for the evaluation of compositional distributional semantic models Marco Marelli, Stefano Menini, Marco Baroni et al. Conference paperOpen access	May 2014	672
36	State of the art in high density image matching Fabio Remondino, Maria Grazia Spera, Erica Nocerino et al. · The Photogrammetric Record Open access	Jun 2014	645
37	Sub-Femto- g Free Fall for Space-Based Gravitational Wave Observatories: LISA Pathfinder Results M. Armano et al. · Physical Review Letters Open access119 authors	7 Jun 2016	644
38	DarkSide-20k: A 20 tonne two-phase LAr TPC for direct dark matter detection at LNGS C.E. Aalseth et al. · The European Physical Journal Plus Open access287 authors	Mar 2018	630
39	Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound Subhankar Roy et al. · IEEE Transactions on Medical Imaging Open access	13 May 2020	623
40	Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone Davide Chicco, Giuseppe Jurman · BMC Medical Informatics and Decision Making Open access	3 Feb 2020	613
41	Framework for Managing the COVID-19 Infodemic: Methods and Results of an Online, Crowdsourced WHO Technical Consultation Viroj Tangcharoensathien et al. · Journal of Medical Internet Research Open access	18 Jun 2020	603
42	Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Seyedmostafa Sheikhalishahi, Riccardo Miotto, Joel T. Dudley et al. · JMIR Medical Informatics ReviewOpen access	24 Mar 2019	587
43	Repeatability of published microarray gene expression analyses John P. A. Ioannidis, David Blair Allison, Catherine A. Ball et al. · Nature Genetics	28 Jan 2009	584
44	The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification Davide Chicco, Giuseppe Jurman · BioData Mining Open access	17 Feb 2023	583
45	The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance Charles Wang et al. · Nature Biotechnology Open access	21 Aug 2014	554
46	Scientific objectives of Einstein Telescope B Sathyaprakash et al. · Classical and Quantum Gravity Open access225 authors	Jun 2012	552
47	Assessing the risks of ‘infodemics’ in response to COVID-19 epidemics Riccardo Gallotti, Francesco Valle, Nicola Castaldo et al. · Nature Human Behaviour Open access	29 Oct 2020	551
48	The nuXmv Symbolic Model Checker Roberto Cavada, Alessandro Cimatti, Michele Dorigatti et al. · Lecture notes in computer science Conference paper	2014	547
49	Transparency and reproducibility in artificial intelligence Benjamin Haibe‐Kains et al. · Nature Open access	14 Oct 2020	531
50	Unsupervised Deep Change Vector Analysis for Multiple-Change Detection in VHR Images Sudipan Saha, Francesca Bovolo, Lorenzo Bruzzone · IEEE Transactions on Geoscience and Remote Sensing	10 Jan 2019	525

Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.