statistiche ricercatore

Continente	#
NA - Nord America	2.740
EU - Europa	1.864
AS - Asia	1.666
SA - Sud America	165
AF - Africa	23
OC - Oceania	6
Continente sconosciuto - Info sul continente non disponibili	2
Totale	6.466

Nazione	#
US - Stati Uniti d'America	2.686
SG - Singapore	578
IT - Italia	503
CN - Cina	367
GB - Regno Unito	335
DE - Germania	296
TR - Turchia	210
FI - Finlandia	174
SE - Svezia	165
HK - Hong Kong	158
VN - Vietnam	149
BR - Brasile	115
FR - Francia	91
RU - Federazione Russa	79
KR - Corea	48
UA - Ucraina	36
CA - Canada	33
ID - Indonesia	27
NL - Olanda	27
IE - Irlanda	26
IN - India	22
BG - Bulgaria	20
JP - Giappone	19
RO - Romania	19
ES - Italia	17
AE - Emirati Arabi Uniti	15
BD - Bangladesh	15
BE - Belgio	13
MX - Messico	13
PL - Polonia	12
AT - Austria	11
LT - Lituania	11
AR - Argentina	10
CO - Colombia	9
CZ - Repubblica Ceca	8
PK - Pakistan	8
CH - Svizzera	7
IQ - Iraq	7
VE - Venezuela	7
CL - Cile	6
EC - Ecuador	6
MY - Malesia	6
ZA - Sudafrica	5
AZ - Azerbaigian	4
MA - Marocco	4
NP - Nepal	4
PE - Perù	4
PY - Paraguay	4
AU - Australia	3
BH - Bahrain	3
BZ - Belize	3
NZ - Nuova Zelanda	3
OM - Oman	3
SA - Arabia Saudita	3
TW - Taiwan	3
AL - Albania	2
BO - Bolivia	2
DK - Danimarca	2
DO - Repubblica Dominicana	2
DZ - Algeria	2
EG - Egitto	2
GH - Ghana	2
KG - Kirghizistan	2
LB - Libano	2
NO - Norvegia	2
PH - Filippine	2
TH - Thailandia	2
TN - Tunisia	2
UY - Uruguay	2
BB - Barbados	1
BJ - Benin	1
BW - Botswana	1
CI - Costa d'Avorio	1
CY - Cipro	1
DM - Dominica	1
ET - Etiopia	1
EU - Europa	1
HR - Croazia	1
HU - Ungheria	1
IL - Israele	1
IR - Iran	1
JO - Giordania	1
KE - Kenya	1
KZ - Kazakistan	1
LK - Sri Lanka	1
LU - Lussemburgo	1
LV - Lettonia	1
ME - Montenegro	1
MK - Macedonia	1
PT - Portogallo	1
RS - Serbia	1
SN - Senegal	1
SV - El Salvador	1
SY - Repubblica araba siriana	1
TM - Turkmenistan	1
UZ - Uzbekistan	1
XK - ???statistics.table.value.countryCode.XK???	1
Totale	6.466

Nome	#
End-to-end 6-DoF Object Pose Estimation through Differentiable Rasterization	635
Attentive Models in Vision: Computing Saliency Maps in the Deep Learning Era	563
Attentive Models in Vision: Computing Saliency Maps in the Deep Learning Era	496
Comportamento non verbale intergruppi “oggettivo”: una replica dello studio di Dovidio, kawakami e Gaertner (2002)	471
Learning to Map Vehicles into Bird's Eye View	461
Predicting the Driver's Focus of Attention: the DR(eye)VE Project	450
DR(eye)VE: a Dataset for Attention-Based Tasks with Applications to Autonomous and Assisted Driving	431
Spotting prejudice with nonverbal behaviours	407
Learning to Detect and Track Visible and Occluded Body Joints in a Virtual World	356
A new era in the study of intergroup nonverbal behaviour: Studying intergroup dyadic interactions “online”	321
Segmentation Guided Scoring of Pathological Lesions in Swine Through CNNs	309
Learning Where to Attend Like a Human Driver	295
Scoring pleurisy in slaughtered pigs using convolutional neural networks	271
Warp and Learn: Novel Views Generation for Vehicles and Other Objects	264
Future Urban Scenes Generation Through Vehicles Synthesis	226
Città intelligenti: connettere i punti di vista visuali di guidatore, veicolo e infrastruttura.	219
Let's stay close: An examination of the effects of imagined contact on behavior toward children with disability	198
Unsupervised vehicle re-identification using triplet networks	186
Totale	6.559

	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2020/2021	156	0	0	0	0	0	0	0	0	0	70	43	43
2021/2022	580	32	18	15	39	36	57	18	32	69	66	142	56
2022/2023	535	69	70	34	50	73	46	9	65	62	8	31	18
2023/2024	332	15	18	38	34	57	28	31	34	4	9	20	44
2024/2025	1.058	54	24	26	89	160	128	36	112	121	38	121	149
2025/2026	1.948	166	80	128	181	395	149	204	244	262	139	0	0
Totale													6.559