statistiche ricercatore

Continente	#
EU - Europa	1.817
AS - Asia	1.657
NA - Nord America	1.175
SA - Sud America	218
Continente sconosciuto - Info sul continente non disponibili	132
AF - Africa	65
OC - Oceania	13
Totale	5.077

Nazione	#
US - Stati Uniti d'America	1.115
IT - Italia	923
SG - Singapore	446
VN - Vietnam	438
CN - Cina	302
RU - Federazione Russa	240
BR - Brasile	178
GB - Regno Unito	161
FR - Francia	111
HK - Hong Kong	98
DE - Germania	87
BD - Bangladesh	81
KR - Corea	70
IE - Irlanda	61
SE - Svezia	37
CA - Canada	33
IN - India	33
AT - Austria	32
BE - Belgio	31
JP - Giappone	30
TR - Turchia	29
NL - Olanda	24
FI - Finlandia	23
BG - Bulgaria	21
PK - Pakistan	21
ES - Italia	19
MA - Marocco	19
ID - Indonesia	18
CI - Costa d'Avorio	16
AU - Australia	13
AR - Argentina	12
JO - Giordania	12
CH - Svizzera	11
EC - Ecuador	11
MX - Messico	11
PH - Filippine	11
IQ - Iraq	9
TH - Thailandia	9
DZ - Algeria	8
PL - Polonia	8
TW - Taiwan	8
MY - Malesia	7
ZA - Sudafrica	7
GR - Grecia	6
IR - Iran	6
KE - Kenya	5
CO - Colombia	4
EG - Egitto	4
PE - Perù	4
RO - Romania	4
AE - Emirati Arabi Uniti	3
CL - Cile	3
GT - Guatemala	3
IL - Israele	3
JM - Giamaica	3
KZ - Kazakistan	3
LB - Libano	3
NP - Nepal	3
PA - Panama	3
PR - Porto Rico	3
UZ - Uzbekistan	3
CZ - Repubblica Ceca	2
GE - Georgia	2
KG - Kirghizistan	2
LT - Lituania	2
LU - Lussemburgo	2
NG - Nigeria	2
NO - Norvegia	2
PT - Portogallo	2
PY - Paraguay	2
SA - Arabia Saudita	2
SK - Slovacchia (Repubblica Slovacca)	2
TN - Tunisia	2
UA - Ucraina	2
VE - Venezuela	2
AL - Albania	1
AZ - Azerbaigian	1
BH - Bahrain	1
BO - Bolivia	1
CY - Cipro	1
DO - Repubblica Dominicana	1
GA - Gabon	1
GD - Grenada	1
HN - Honduras	1
HU - Ungheria	1
LK - Sri Lanka	1
MK - Macedonia	1
MU - Mauritius	1
NI - Nicaragua	1
RS - Serbia	1
SY - Repubblica araba siriana	1
UY - Uruguay	1
Totale	4.945

Nome	#
ITALIC: An Italian Intent Classification Dataset	469
Double-Step deep learning framework to improve wildfire severity classification	417
Attention to Fires: Multi-Channel Deep Learning Models for Wildfire Severity Prediction	407
Improving Wildfire Severity Classification of Deep Learning U-Nets from Satellite Images	387
Vision Transformers for Burned Area Delineation	334
A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery	323
A Data-Driven Based Dynamic Rebalancing Methodology for Bike Sharing Systems	320
Level Up Your Tutorials: VLMs for Game Tutorials Quality Assessment	316
CaBuAr: California burned areas dataset for delineation [Software and Data Sets]	309
ViGEO: an Assessment of Vision GNNs in Earth Observation	297
Double-Step U-Net: A Deep Learning-Based Approach for the Estimation of Wildfire Damage Severity through Sentinel-2 Satellite Data	276
Supervised Burned Areas delineation by means of Sentinel-2 imagery and Convolutional Neural Networks	268
Density-based Clustering by Means of Bridge Point Identification	254
Magnifier: A Multigrained Neural Network-Based Architecture for Burned Area Delineation	210
Spatial data science: from aerial data to discrete spatio-temporal event analysis	188
Mining SpatioTemporally Invariant Patterns	184
Discovering SpatioTemporally Invariant Event Patterns From Mobility Data	118
Totale	5.077

	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2021/2022	317	0	20	13	31	62	20	5	13	31	45	51	26
2022/2023	417	28	39	40	42	53	41	39	27	49	22	19	18
2023/2024	551	43	46	52	51	37	118	45	35	7	20	40	57
2024/2025	1.046	64	62	58	119	67	67	62	110	118	72	102	145
2025/2026	2.271	157	133	144	171	127	130	245	192	495	273	74	130
2026/2027	120	101	19	0	0	0	0	0	0	0	0	0	0
Totale													5.077

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