IRIS
RICCIARDI, CARLO
 Distribuzione geografica
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Continente #
AS - Asia 4.974
NA - Nord America 3.714
EU - Europa 3.469
SA - Sud America 569
Continente sconosciuto - Info sul continente non disponibili 243
AF - Africa 174
OC - Oceania 14
Totale 13.157
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Nazione #
US - Stati Uniti d'America 3.517
SG - Singapore 2.191
RU - Federazione Russa 1.433
CN - Cina 996
IT - Italia 917
VN - Vietnam 704
BR - Brasile 430
HK - Hong Kong 378
DE - Germania 345
FR - Francia 166
FI - Finlandia 161
BD - Bangladesh 149
NL - Olanda 129
KR - Corea 100
JP - Giappone 95
CA - Canada 93
IN - India 84
GB - Regno Unito 83
CI - Costa d'Avorio 74
AR - Argentina 50
MX - Messico 44
SE - Svezia 35
ID - Indonesia 33
PL - Polonia 32
ES - Italia 31
IE - Irlanda 30
IQ - Iraq 30
ZA - Sudafrica 30
PH - Filippine 26
TR - Turchia 26
TW - Taiwan 22
AT - Austria 21
TH - Thailandia 19
EC - Ecuador 17
UA - Ucraina 17
EG - Egitto 16
PY - Paraguay 16
VE - Venezuela 16
AE - Emirati Arabi Uniti 15
JO - Giordania 15
SA - Arabia Saudita 14
AU - Australia 12
CL - Cile 11
CZ - Repubblica Ceca 11
UZ - Uzbekistan 11
CO - Colombia 10
JM - Giamaica 10
PK - Pakistan 10
CR - Costa Rica 9
MA - Marocco 9
MY - Malesia 9
PE - Perù 9
GT - Guatemala 8
TN - Tunisia 8
IR - Iran 7
KE - Kenya 7
LB - Libano 7
LT - Lituania 7
LY - Libia 7
HN - Honduras 6
PR - Porto Rico 6
AL - Albania 5
BB - Barbados 5
BH - Bahrain 5
HU - Ungheria 5
IS - Islanda 5
NP - Nepal 5
SK - Slovacchia (Repubblica Slovacca) 5
UY - Uruguay 5
CH - Svizzera 4
DZ - Algeria 4
IL - Israele 4
PA - Panama 4
BA - Bosnia-Erzegovina 3
KH - Cambogia 3
KZ - Kazakistan 3
NI - Nicaragua 3
PT - Portogallo 3
BE - Belgio 2
BG - Bulgaria 2
BO - Bolivia 2
BY - Bielorussia 2
CG - Congo 2
CY - Cipro 2
EE - Estonia 2
ET - Etiopia 2
EU - Europa 2
GE - Georgia 2
GM - Gambi 2
GR - Grecia 2
GY - Guiana 2
NO - Norvegia 2
OM - Oman 2
PS - Palestinian Territory 2
RO - Romania 2
RS - Serbia 2
SV - El Salvador 2
SY - Repubblica araba siriana 2
TT - Trinidad e Tobago 2
AZ - Azerbaigian 1
Totale 12.888
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Città #
Singapore 1.129
San Jose 646
Hefei 380
Moscow 373
Hong Kong 371
Ashburn 356
Naples 239
Beijing 224
Ho Chi Minh City 205
Munich 205
Santa Clara 166
Hanoi 151
Council Bluffs 145
Chandler 136
Helsinki 107
Los Angeles 105
Amsterdam 102
Lauterbourg 100
The Dalles 97
Seoul 91
Tokyo 85
Dallas 63
Lawrence 62
Boston 61
Redondo Beach 56
Phoenix 52
São Paulo 51
Rome 50
Frankfurt am Main 44
Buffalo 43
Milan 43
New York 41
Haiphong 40
Millbury 39
Da Nang 35
Chicago 30
Orem 30
Des Moines 29
Lappeenranta 29
Gallarate 26
Wilmington 25
Napoli 24
Toronto 24
Boardman 23
Brooklyn 21
Seattle 21
Afragola 20
Mexico City 20
Warsaw 19
Nuremberg 18
Salerno 17
Desio 16
Hải Dương 16
Johannesburg 16
Atlanta 15
Denver 15
Dublin 15
Montreal 15
Brasília 14
Chennai 14
Düsseldorf 14
London 14
Stockholm 13
Amman 12
Baghdad 12
Biên Hòa 12
Washington 12
Fairfield 11
Giugliano in Campania 11
Rio de Janeiro 11
Turku 11
Caserta 10
Falkenstein 10
Ninh Bình 10
Poplar 10
Vienna 10
Guangzhou 9
Houston 9
Jyväskylä 9
Manchester 9
Roubaix 9
San Francisco 9
San José 9
Ferrara 8
Fisciano 8
Kochi 8
Shenzhen 8
Asunción 7
Aversa 7
Bengaluru 7
Brno 7
Catania 7
Charlotte 7
Guayaquil 7
Istanbul 7
Jakarta 7
Lima 7
Miami 7
Philadelphia 7
Riyadh 7
Totale 6.974
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Nome #
Mild Cognitive Impairment Subtypes Are Associated With Peculiar Gait Patterns in Parkinson’s Disease 270
Machine Learning applied on Poincaré Analyisis to discriminate different cardiac issues 233
Lean Six Sigma in healthcare: Fast track surgery for patients undergoing prosthetic hip replacement surgery 183
Agile six sigma in healthcare: Case study at santobono pediatric hospital 180
Comparing the prognostic value of stress myocardial perfusion imaging by conventional and cadmium-zinc telluride single-photon emission computed tomography through a machine learning approach 176
Machine learning analysis of MRI-derived texture features to predict placenta accreta spectrum in patients with placenta previa 167
Head-to-head comparison of diagnostic accuracy of stress-only myocardial perfusion imaging with conventional and cadmium-zinc telluride single-photon emission computed tomography in women with suspected coronary artery disease 166
Lean Six Sigma approach to reduce LOS through a diagnostic-therapeutic-assistance path at A.O.R.N. A. Cardarelli 163
A Multiparameter Statistical Approach for Cardiotocographic Signals Analysis 159
A Machine Learning Approach to Predict the Rehabilitation Outcome in Convalescent COVID-19 Patients 159
Combining simulation models and machine learning in healthcare management: strategies and applications 155
Application of DMAIC Cycle and Modeling as Tools for Health Technology Assessment in a University Hospital 153
Application of data mining in a cohort of Italian subjects undergoing myocardial perfusion imaging at an academic medical center 149
A health technology assessment between two pharmacological therapies through Six Sigma: the case study of bone cancer 149
Distinguishing Functional from Non-functional Pituitary Macroadenomas with a Machine Learning Analysis 148
An application of DMAIC methodology for reducing voluntary departures from an Emergency Department 146
Kinematic and Kinetic Gait Features Associated With Mild Cognitive Impairment in Parkinson’s Disease 142
MRI Radiomics for the Prediction of Fuhrman Grade in Clear Cell Renal Cell Carcinoma: a Machine Learning Exploratory Study 142
Machine learning evaluation of biliary atresia patients to predict long-term outcome after the kasai procedure 142
Resolution Resampling of Ultrasound Images in Placenta Previa Patients: Influence on Radiomics Data Reliability and Usefulness for Machine Learning 140
Prediction of tumor grade and nodal status in oropharyngeal and oral cavity squamous-cell carcinoma using a radiomic approach 136
Implementation and validation of a new method to model voluntary departures from emergency departments 136
Detecting Parkinson’s disease through an upper limb reaching task and a machine learning approach 135
Efficacy of machine learning in predicting the kind of delivery by cardiotocography 135
A machine learning-based approach to directly compare the diagnostic accuracy of myocardial perfusion imaging by conventional and cadmium-zinc telluride SPECT 135
The application of six sigma to reduce the pre-operative length of hospital stay at the hospital Antonio Cardarelli 133
Feasibility of Machine Learning in Predicting Features Related to Congenital Nystagmus 133
A quantitative analysis of muscular co-activation on EMG signals in spastic patients treated with Botulinum toxin 131
Development of soft tissue asymmetry indicators to characterize aging and functional mobility 130
Design and validation of an e-textile-based wearable sock for remote gait and postural assessment 128
The E-textile for biomedical applications: A systematic review of literature 128
A combined radiomics and machine learning approach to distinguish clinically significant prostate lesions on a publicly available mri dataset 127
Classifying patients affected by Parkinson's disease into freezers or non-freezers through machine learning 126
Extracting features from poincaré plots to distinguish congestive heart failure patients according to nyha classes 126
Linear discriminant analysis and principal component analysis to predict coronary artery disease 125
A six sigma DMAIC methodology as a support tool for health technology assessment of two antibiotics 125
3D printing application for orthopedic pediatric surgery – a systematic review 125
Combining simulation and machine learning for the management of healthcare systems 124
MRI Liver Imaging Integrated with Texture Analysis in Native Liver Survivor Patients with Biliary Atresia after Kasai Portoenterostomy: Correlation with Medical Outcome after Surgical Treatment 124
Machine learning can detect the presence of Mild cognitive impairment in patients affected by Parkinson's Disease 124
A Sensitivity Analysis of Symbolic Dynamics indices for Fetal Heart Rate Monitoring 122
Diagnostic Applications of Intraoral Scanners: A Systematic Review 121
Measurements of Postural Sway to Classify Freezing of Gait in Parkinsons Disease, 121
Is It Possible to Predict Cardiac Death? 120
Toward Predicting Motion Sickness Using Virtual Reality and a Moving Platform Assessing Brain, Muscles, and Heart Signals 120
Machine Learning and Regression Analysis to Model the Length of Hospital Stay in Patients with Femur Fracture 120
Unsupervised Machine Learning Approach to Discover Subtypes of Progressive Supranuclear Palsy 119
Classifying the type of delivery from cardiotocographic signals: A machine learning approach 119
Reducing the healthcare-associated infections in a rehabilitation hospital under the guidance of lean six sigma and dmaic 119
Machine learning approaches for diabetes classification: Perspectives to artificial intelligence methods updating 119
Towards defining biomarkers to evaluate concussions using virtual reality and a moving platform (BioVRSea) 118
Machine learning models for the prediction of acuity and variability of eye-positioning using features extracted from oculography 118
Machine learning approaches in Parkinson’s disease 118
Predicting body mass index and isometric leg strength using soft tissue distributions from computed tomography scans 118
Using Wearable Sensors and Motion Parameters for Recognizing Progressive Supranuclear Palsy Phenotypes 116
Classifying Different Stages of Parkinson’s Disease Through Random Forests 116
Improving prosthetic selection and predicting BMD from biometric measurements in patients receiving total hip arthroplasty 116
Evaluation of different machine learning algorithms for predicting the length of stay in the emergency departments: a single-centre study 115
The Role of Deep Learning and Gait Analysis in Parkinson’s Disease: A Systematic Review 115
A Health Technology Assessment in Maxillofacial Cancer Surgery by Using the Six Sigma Methodology 115
Fast track surgery for knee replacement surgery: a lean six sigma approach 114
Interplay between gait and neuropsychiatric symptoms in Parkinson's Disease 112
Agreement between Optoelectronic System and Wearable Sensors for the Evaluation of Gait Spatiotemporal Parameters in Progressive Supranuclear Palsy 112
Gender Is the Main Predictor of Wearing‐Off and Dyskinesia in Levodopa‐Naïve Patients with Parkinson's Disease 111
Transmission Delays in Negative Feedback Physiological Systems: The Case of the Muscle Stretch Reflex 110
Using gait analysis’ parameters to classify Parkinsonism: A data mining approach 110
Bidimensional and Tridimensional Poincaré Maps in Cardiology: A Multiclass Machine Learning Study 110
Machine Learning Algorithms Predict Body Mass Index Using Nonlinear Trimodal Regression Analysis from Computed Tomography Scans 108
Healthy Aging within an Image: Using Muscle Radiodensitometry and Lifestyle Factors to Predict Diabetes and Hypertension 107
Machine learning can predict mild cognitive impairment in Parkinson's disease 106
Wearable Sensors and Artificial Intelligence for Physical Ergonomics: A Systematic Review of Literature 106
Performing a short sway to distinguish Parkinsonisms 105
Using Features Extracted From Upper Limb Reaching Tasks to Detect Parkinson’s Disease by Means of Machine Learning Models 104
A Regression Approach to Assess Bone Mineral Density of Patients undergoing Total Hip Arthroplasty through Gait Analysis 104
Feasibility of Machine Learning applied to Poincaré Plot Analysis on Patients with CHF 104
Wearable sensors for assessing disease severity and progression in Progressive Supranuclear Palsy 103
Machine learning predictive system based upon radiodensitometric distributions from mid-thigh CT images 103
Gait Analysis in Progressive Supranuclear Palsy Phenotypes 102
Testing soft tissue radiodensity parameters interplay with age and self-reported physical activity 100
A General Framework for Closed Loop Negative Feedback Multivariable Physiological Control Systems: Existence, Uniqueness, and Stability of Homeostatic Equilibrium Points 100
Comparing Two Approaches for Thyroidectomy: A Health Technology Assessment through DMAIC Cycle 99
Benchmarking between a Sensorized E-textile Sock for Remote Monitoring and a Stereophotogrammetric System 97
Machine Learning Approaches with Textural Features to Calculate Breast Density on Mammography 96
Gait analysis may distinguish progressive supranuclear palsy and Parkinson disease since the earliest stages 96
Machine learning analysis: general features, requirements and cardiovascular applications 95
Breast Density Analysis on Mammograms: application of Machine Learning with textural features 95
A Cluster Analysis for Parkinson's Disease Phenotyping with Gait Parameters 95
Machine Learning for Biomedical Applications 91
Health technology assessment through Six Sigma Methodology to assess cemented and uncemented protheses in total hip arthroplasty 91
A Machine Learning Approach for Breast Cancer Risk Prediction in Digital Mammography 88
Machine learning to predict mortality after rehabilitation among patients with severe stroke 87
Repeatability of radiomic features from brain T1-W MRI after image intensity normalization: Implications for longitudinal studies on structural neurodegeneration 86
On the Role of Negative Feedback in Physiological Systems 85
Impact of the Number of Needle Tip Bevels on the Exerted Forces and Energy in Insulin Pen Injections 84
Identification of a Gait Pattern for Detecting Mild Cognitive Impairment in Parkinson's Disease 84
A radiomics approach to distinguish Progressive Supranuclear Palsy Richardson's syndrome from other phenotypes starting from MR images 83
Biomechanics Parameters of Gait Analysis to Characterize Parkinson’s Disease: A Scoping Review 80
Statistical Analysis and Kinematic Assessment of Upper Limb Reaching Task in Parkinson’s Disease 75
Detection of Suspicious Cardiotocographic Recordings by Means of a Machine Learning Classifier 74
Unsupervised Machine Learning to Identify Convalescent COVID-19 Phenotypes 72
Totale 12.157
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Categoria #
all - tutte 42.719
article - articoli 0
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 42.719
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2021/2022471 0 0 7 35 9 10 4 60 26 32 166 122
2022/2023526 64 13 21 9 56 41 12 59 86 108 31 26
2023/2024707 28 79 109 56 26 45 33 112 38 25 98 58
2024/20253.757 172 176 43 20 123 261 492 255 246 380 1.307 282
2025/20266.773 669 663 696 632 1.064 357 611 452 700 443 274 212
2026/2027617 179 378 60 0 0 0 0 0 0 0 0 0
Totale 13.157