statistiche ricercatore

Continente	#
AS - Asia	638
NA - Nord America	615
EU - Europa	425
SA - Sud America	120
AF - Africa	48
Continente sconosciuto - Info sul continente non disponibili	32
OC - Oceania	2
Totale	1.880

Nazione	#
US - Stati Uniti d'America	580
IT - Italia	219
SG - Singapore	203
CN - Cina	118
BR - Brasile	71
VN - Vietnam	60
HK - Hong Kong	47
KR - Corea	46
BD - Bangladesh	41
FR - Francia	33
DE - Germania	31
IN - India	26
SE - Svezia	25
GB - Regno Unito	21
ID - Indonesia	21
MA - Marocco	21
RU - Federazione Russa	21
PE - Perù	20
NL - Olanda	19
JP - Giappone	17
TH - Thailandia	13
CA - Canada	12
MX - Messico	11
PL - Polonia	11
AR - Argentina	9
PK - Pakistan	9
AT - Austria	8
IE - Irlanda	7
EC - Ecuador	5
FI - Finlandia	5
IR - Iran	5
VE - Venezuela	5
ZA - Sudafrica	5
CD - Congo	4
CH - Svizzera	4
CO - Colombia	4
IQ - Iraq	4
TN - Tunisia	4
TR - Turchia	4
UZ - Uzbekistan	4
CL - Cile	3
ES - Italia	3
GT - Guatemala	3
KE - Kenya	3
NP - Nepal	3
SA - Arabia Saudita	3
TW - Taiwan	3
AU - Australia	2
BE - Belgio	2
BO - Bolivia	2
CR - Costa Rica	2
DZ - Algeria	2
EE - Estonia	2
EG - Egitto	2
ET - Etiopia	2
HU - Ungheria	2
JM - Giamaica	2
LB - Libano	2
LT - Lituania	2
MY - Malesia	2
PA - Panama	2
PT - Portogallo	2
SN - Senegal	2
UA - Ucraina	2
AE - Emirati Arabi Uniti	1
AL - Albania	1
AZ - Azerbaigian	1
BS - Bahamas	1
BY - Bielorussia	1
CI - Costa d'Avorio	1
CZ - Repubblica Ceca	1
GA - Gabon	1
GR - Grecia	1
KZ - Kazakistan	1
LA - Repubblica Popolare Democratica del Laos	1
NG - Nigeria	1
NI - Nicaragua	1
NO - Norvegia	1
OM - Oman	1
PH - Filippine	1
PR - Porto Rico	1
PS - Palestinian Territory	1
PY - Paraguay	1
SK - Slovacchia (Repubblica Slovacca)	1
Totale	1.848

Nome	#
Development of machine learning approaches for real-time ground-shaking maps reconstruction	274
A machine-learning approach for the reconstruction of ground shaking fields in real-time	223
Near-Real-Time Strong Motion Acquisition at National Scale and Automatic Analysis	200
A Machine-Learning Approach for the Reconstruction of Ground-Shaking Fields in Real Time	170
Seismic background noise levels in the Italian strong-motion network	145
Seismic noise measurements in the city of Trieste in order to plan an urban seismic network	128
A first look at the ground motion characteristics unveiled by accelerometric data: the case of Campi Flegrei area (Italy)	120
Neural-Network and Multivariate-Normal-Distribution Hybrid Method for Real-Time Ground-Shaking Reconstruction	100
The new urban strong motion array along the Crati Valley	90
Empirical Attenuation Characteristics and Seismic Source Parameters through Spectral Inversion for Northeastern Italy	90
Seismic Signal Denoising with Attention U-Net	89
Seismic source spectral inversion to obtain empirical attenuation characteristics for Northeastern Italy	83
Non-parametric spectral inversion of seismic source developed for Northeastern Italy	81
Development of an hybrid GMPE-less ShakeMap implementation for real-time ground shaking maps reconstruction	79
Fast estimation of landslide blocks’ volume from seismic noise measurements	8
Totale	1.880

	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2022/2023	62	0	9	8	7	7	9	1	7	3	2	8	1
2023/2024	162	7	2	7	6	2	3	12	12	10	52	37	12
2024/2025	384	7	9	10	20	52	38	31	30	48	47	39	53
2025/2026	1.133	170	100	71	86	108	95	138	33	59	135	95	43
2026/2027	139	35	68	36	0	0	0	0	0	0	0	0	0
Totale													1.880

ArTS Archivio della ricerca di Trieste