LESCHIUTTA, LUCA
Distribuzione geografica
Continente | # |
---|---|
AS - Asia | 147 |
EU - Europa | 146 |
NA - Nord America | 96 |
AF - Africa | 16 |
SA - Sud America | 13 |
OC - Oceania | 2 |
Totale | 420 |
Nazione | # |
---|---|
CN - Cina | 111 |
US - Stati Uniti d'America | 91 |
IT - Italia | 49 |
FR - Francia | 32 |
DE - Germania | 17 |
GB - Regno Unito | 11 |
IN - India | 9 |
EG - Egitto | 8 |
IE - Irlanda | 8 |
BR - Brasile | 7 |
VN - Vietnam | 6 |
CA - Canada | 5 |
UA - Ucraina | 5 |
AT - Austria | 4 |
ET - Etiopia | 4 |
ID - Indonesia | 4 |
JP - Giappone | 4 |
KR - Corea | 4 |
NL - Olanda | 4 |
RU - Federazione Russa | 4 |
AR - Argentina | 2 |
AU - Australia | 2 |
CL - Cile | 2 |
KE - Kenya | 2 |
MD - Moldavia | 2 |
PL - Polonia | 2 |
PS - Palestinian Territory | 2 |
RO - Romania | 2 |
SG - Singapore | 2 |
TH - Thailandia | 2 |
TN - Tunisia | 2 |
BE - Belgio | 1 |
CH - Svizzera | 1 |
CO - Colombia | 1 |
DK - Danimarca | 1 |
GR - Grecia | 1 |
HU - Ungheria | 1 |
IL - Israele | 1 |
IR - Iran | 1 |
PE - Perù | 1 |
PH - Filippine | 1 |
SE - Svezia | 1 |
Totale | 420 |
Città | # |
---|---|
Beijing | 58 |
Hangzhou | 38 |
Turin | 20 |
Mountain View | 14 |
Seattle | 13 |
Ashburn | 10 |
Dublin | 8 |
Shenzhen | 8 |
Dong Ket | 6 |
Addis Ababa | 4 |
Banyuasin | 4 |
Bulaq | 4 |
Fremont | 4 |
Hartford | 4 |
Höst | 4 |
Los Angeles | 4 |
Milan | 4 |
Ruprechtshofen | 4 |
San Ramon | 4 |
Bari | 3 |
Buffalo | 3 |
Hyderabad | 3 |
Southend | 3 |
Tokyo | 3 |
Torino | 3 |
Washington | 3 |
Albuquerque | 2 |
Amsterdam | 2 |
Ann Arbor | 2 |
Atlanta | 2 |
Baltimore | 2 |
Barra Do Pirai | 2 |
Buenos Aires | 2 |
Bydgoszcz | 2 |
Cagliari | 2 |
Cairo | 2 |
Casalecchio Di Reno | 2 |
Chengdu | 2 |
Chertsey | 2 |
Florence | 2 |
Gwalior | 2 |
Haarlem | 2 |
Horizonte | 2 |
Houston | 2 |
Linton | 2 |
Montesarchio | 2 |
Nice | 2 |
Paris | 2 |
Phayao | 2 |
Ramallah | 2 |
Rome | 2 |
Saint-augustin | 2 |
San Donato Milanese | 2 |
Seongnam | 2 |
Tianjin | 2 |
Toronto | 2 |
Ufa | 2 |
Vellore | 2 |
Zagazig | 2 |
Baldwin | 1 |
Bremen | 1 |
Brussels | 1 |
Budapest | 1 |
Cambridge | 1 |
Catania | 1 |
Catanzaro | 1 |
Chicago | 1 |
Copenhagen | 1 |
Dallas | 1 |
Denver | 1 |
Edgware | 1 |
Footscray | 1 |
Kelvin Grove | 1 |
Lima | 1 |
Mesa | 1 |
Miami | 1 |
Montréal | 1 |
Nanterre | 1 |
Parsippany | 1 |
Pisa | 1 |
Piscataway | 1 |
Santa Clara | 1 |
Shinjuku | 1 |
Tabriz | 1 |
Trofarello | 1 |
West Hartford | 1 |
Wuhan | 1 |
Zurich | 1 |
Totale | 331 |
Nome | # |
---|---|
Exploiting Linked Open Data and Natural Language Processing for Classification of Political Speech, file e384c42e-31e9-d4b2-e053-9f05fe0a1d67 | 264 |
Open Access and Database Anonymization an Open Source Procedure Based on an Italian Case Study, file e384c42e-31ea-d4b2-e053-9f05fe0a1d67 | 157 |
Totale | 421 |
Categoria | # |
---|---|
all - tutte | 801 |
article - articoli | 0 |
book - libri | 0 |
conference - conferenze | 801 |
curatela - curatele | 0 |
other - altro | 0 |
patent - brevetti | 0 |
selected - selezionate | 0 |
volume - volumi | 0 |
Totale | 1.602 |
Totale | Lug | Ago | Sett | Ott | Nov | Dic | Gen | Feb | Mar | Apr | Mag | Giu | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2018/2019 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
2019/2020 | 6 | 0 | 2 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 |
2020/2021 | 14 | 0 | 2 | 0 | 0 | 1 | 0 | 2 | 2 | 0 | 0 | 2 | 5 |
2021/2022 | 6 | 0 | 1 | 1 | 0 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 |
2022/2023 | 12 | 1 | 0 | 0 | 0 | 1 | 9 | 0 | 0 | 0 | 0 | 1 | 0 |
2023/2024 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
Totale | 421 |