statistiche ricercatore

Continente	#
NA - Nord America	571
EU - Europa	413
AS - Asia	278
SA - Sud America	47
AF - Africa	5
Continente sconosciuto - Info sul continente non disponibili	1
OC - Oceania	1
Totale	1.316

Nazione	#
US - Stati Uniti d'America	554
PL - Polonia	132
SG - Singapore	109
IT - Italia	88
CN - Cina	72
DE - Germania	48
BR - Brasile	40
HK - Hong Kong	37
FI - Finlandia	29
UA - Ucraina	29
VN - Vietnam	20
GB - Regno Unito	19
RU - Federazione Russa	12
TR - Turchia	12
CZ - Repubblica Ceca	11
IE - Irlanda	11
IN - India	9
CA - Canada	8
FR - Francia	8
SE - Svezia	8
MX - Messico	6
BD - Bangladesh	5
JP - Giappone	4
LT - Lituania	4
AR - Argentina	2
BE - Belgio	2
BO - Bolivia	2
DK - Danimarca	2
ID - Indonesia	2
LV - Lettonia	2
NL - Olanda	2
RO - Romania	2
SA - Arabia Saudita	2
TN - Tunisia	2
ZA - Sudafrica	2
AE - Emirati Arabi Uniti	1
AU - Australia	1
BB - Barbados	1
CL - Cile	1
CO - Colombia	1
ES - Italia	1
EU - Europa	1
HU - Ungheria	1
JM - Giamaica	1
KG - Kirghizistan	1
KR - Corea	1
LA - Repubblica Popolare Democratica del Laos	1
MU - Mauritius	1
NI - Nicaragua	1
NO - Norvegia	1
PH - Filippine	1
PK - Pakistan	1
SK - Slovacchia (Repubblica Slovacca)	1
VE - Venezuela	1
Totale	1.316

Nome	#
K-means clustering approach for damage evolution monitoring in RCF tests	188
Damage phenomena characterization in RCF tests using image analysis and vibration-based machine learning	187
Effects of full-stops on shoe-braked railway wheel wear damage	157
Effect of shoe braking on wear and fatigue damage of various railway wheel steels for high speed applications	143
Study of the damage induced by thermomechanical load in ER7 tread braked railway wheels	120
A Small-Scale Experimental Study of the Damage Due to Intermittent Shoe Braking on the Tread of High-Speed Train Wheels	113
A flexible method to detect the fault of components in an injection group of a diecasting machine	93
Monitoring the damage evolution in rolling contact fatigue tests using machine learning and vibrations	82
Predictive diagnostics through machine learning on the injection group of a diecasting machine.	80
Predictive diagnostics through machine learning on the injection group of a diecasting machine.	69
Predictive diagnostics through machine learning on the injection group of a diecasting machine.	58
A method based on combinations of forecaster and weighing matrix to detect fault of components in diecasting process	44
Totale	1.334

	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2020/2021	136	0	0	0	0	0	17	14	25	21	21	18	20
2021/2022	77	4	6	2	5	0	6	6	9	6	10	5	18
2022/2023	104	12	11	3	9	5	23	2	6	18	3	4	8
2023/2024	140	13	6	16	6	8	15	3	20	30	3	4	16
2024/2025	228	6	1	1	21	21	18	18	12	26	9	56	39
2025/2026	268	53	47	28	76	59	5	0	0	0	0	0	0
Totale													1.334