OSELLA, MICHELE
Distribuzione geografica
Continente | # |
---|---|
EU - Europa | 1.424 |
NA - Nord America | 1.274 |
AS - Asia | 531 |
AF - Africa | 84 |
SA - Sud America | 70 |
OC - Oceania | 60 |
GeoIP Country Edition - ???statistics.table.value.continent.GeoIP Country Edition??? | 2 |
Totale | 3.445 |
Nazione | # |
---|---|
US - Stati Uniti d'America | 1.224 |
DE - Germania | 390 |
IT - Italia | 282 |
CN - Cina | 249 |
GB - Regno Unito | 129 |
NL - Olanda | 129 |
FR - Francia | 84 |
CA - Canada | 46 |
IN - India | 46 |
RU - Federazione Russa | 44 |
AU - Australia | 39 |
BR - Brasile | 34 |
CZ - Repubblica Ceca | 30 |
KR - Corea | 29 |
SE - Svezia | 29 |
DK - Danimarca | 28 |
ID - Indonesia | 27 |
MY - Malesia | 26 |
ES - Italia | 24 |
EU - Europa | 22 |
HK - Hong Kong | 22 |
PL - Polonia | 22 |
AR - Argentina | 21 |
IR - Iran | 21 |
NZ - Nuova Zelanda | 21 |
AT - Austria | 20 |
FI - Finlandia | 20 |
KE - Kenya | 20 |
ZA - Sudafrica | 20 |
CH - Svizzera | 19 |
JP - Giappone | 19 |
UA - Ucraina | 19 |
HR - Croazia | 18 |
TR - Turchia | 18 |
PT - Portogallo | 17 |
SG - Singapore | 16 |
IE - Irlanda | 15 |
LT - Lituania | 15 |
MA - Marocco | 15 |
TH - Thailandia | 13 |
TW - Taiwan | 12 |
VN - Vietnam | 11 |
BE - Belgio | 10 |
EG - Egitto | 10 |
AE - Emirati Arabi Uniti | 9 |
RO - Romania | 9 |
CL - Cile | 8 |
HU - Ungheria | 7 |
PH - Filippine | 7 |
PK - Pakistan | 6 |
NO - Norvegia | 5 |
SA - Arabia Saudita | 5 |
AP - ???statistics.table.value.countryCode.AP??? | 4 |
BG - Bulgaria | 4 |
ET - Etiopia | 4 |
GR - Grecia | 4 |
BD - Bangladesh | 3 |
CO - Colombia | 3 |
DZ - Algeria | 3 |
EE - Estonia | 3 |
AO - Angola | 2 |
BO - Bolivia | 2 |
BW - Botswana | 2 |
EC - Ecuador | 2 |
GH - Ghana | 2 |
JM - Giamaica | 2 |
KG - Kirghizistan | 2 |
LV - Lettonia | 2 |
MK - Macedonia | 2 |
MU - Mauritius | 2 |
MX - Messico | 2 |
RS - Serbia | 2 |
SI - Slovenia | 2 |
SK - Slovacchia (Repubblica Slovacca) | 2 |
ZW - Zimbabwe | 2 |
IL - Israele | 1 |
KZ - Kazakistan | 1 |
LR - Liberia | 1 |
TN - Tunisia | 1 |
Totale | 3.443 |
Città | # |
---|---|
San Francisco | 446 |
Boise | 107 |
Beijing | 98 |
Mountain View | 61 |
Hangzhou | 55 |
Ashburn | 51 |
Turin | 51 |
Eindhoven | 50 |
Berlin | 48 |
Fairfield | 42 |
Seattle | 37 |
Tianjin | 29 |
Southend | 28 |
Valfenera | 27 |
Amsterdam | 25 |
Chicago | 24 |
Saint Petersburg | 23 |
Kansas City | 22 |
Buffalo | 21 |
Jakarta | 21 |
Houston | 20 |
Åbybro | 20 |
Torino | 19 |
Vienna | 19 |
Wellington | 19 |
Boardman | 18 |
Rome | 18 |
Shenzhen | 18 |
Central District | 15 |
Woodbridge | 15 |
Cambridge | 14 |
Milan | 14 |
Putian | 14 |
Wilmington | 13 |
Dublin | 12 |
New York | 12 |
Prague | 12 |
New Martinsville | 11 |
Singapore | 11 |
Ann Arbor | 10 |
Boydton | 10 |
Los Angeles | 10 |
Sheffield | 10 |
Stockholm | 10 |
Vancouver | 10 |
Zagreb | 10 |
Seoul | 9 |
Bangalore | 8 |
Egham | 8 |
Fuzhou | 8 |
Lampang | 8 |
Manchester | 8 |
Moscow | 8 |
Redmond | 8 |
Rotterdam | 8 |
Santa Cruz | 8 |
Tehran | 8 |
Xiamen | 8 |
Istanbul | 7 |
Montréal | 7 |
Norman | 7 |
Paris | 7 |
Shah Alam | 7 |
Toronto | 7 |
Utrecht | 7 |
Cairo | 6 |
Edmonton | 6 |
Hamburg | 6 |
Helsinki | 6 |
Höst | 6 |
Jackson | 6 |
Johannesburg | 6 |
Lisbon | 6 |
London | 6 |
Melbourne | 6 |
Naples | 6 |
Omaha | 6 |
Ottawa | 6 |
Salvador | 6 |
San Ramon | 6 |
Santiago | 6 |
Vilnius | 6 |
Warwick | 6 |
Brno | 5 |
Caluso | 5 |
Denver | 5 |
Fort Mcmurray | 5 |
Fremont | 5 |
Herndon | 5 |
Kuala Lumpur | 5 |
Las Vegas | 5 |
Madrid | 5 |
Munich | 5 |
New Delhi | 5 |
Rio De Janeiro | 5 |
San Donato Milanese | 5 |
Venaria Reale | 5 |
Wuhan | 5 |
Aachen | 4 |
Austin | 4 |
Totale | 1.967 |
Nome | # |
---|---|
A Multi-Dimensional Approach for Framing Crowdsourcing Archetypes, file e384c42e-33ed-d4b2-e053-9f05fe0a1d67 | 2.601 |
Breaking Public Administrations' Data Silos: the Case of Open-DAI, and a Comparison between Open Data Platforms., file e384c42e-38cb-d4b2-e053-9f05fe0a1d67 | 561 |
Breaking Public Administrations' Data Silos: the Case of Open-DAI, and a Comparison between Open Data Platforms., file e384c42e-38ca-d4b2-e053-9f05fe0a1d67 | 183 |
Knowledge Graph Embeddings with node2vec for Item Recommendation, file e384c430-2a91-d4b2-e053-9f05fe0a1d67 | 72 |
An empirical comparison of knowledge graph embeddings for item recommendation, file e384c430-2a92-d4b2-e053-9f05fe0a1d67 | 46 |
A Knowledge-Based Multi-Criteria Decision Support System Encompassing Cascading Effects For Disaster Management, file e384c431-80c6-d4b2-e053-9f05fe0a1d67 | 1 |
Totale | 3.464 |
Categoria | # |
---|---|
all - tutte | 4.604 |
article - articoli | 1.261 |
book - libri | 0 |
conference - conferenze | 189 |
curatela - curatele | 0 |
other - altro | 0 |
patent - brevetti | 0 |
selected - selezionate | 0 |
volume - volumi | 0 |
Totale | 6.054 |
Totale | Lug | Ago | Sett | Ott | Nov | Dic | Gen | Feb | Mar | Apr | Mag | Giu | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2018/2019 | 72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 20 | 20 |
2019/2020 | 129 | 14 | 11 | 8 | 11 | 12 | 9 | 15 | 15 | 9 | 4 | 15 | 6 |
2020/2021 | 120 | 8 | 12 | 6 | 6 | 8 | 13 | 13 | 17 | 9 | 6 | 12 | 10 |
2021/2022 | 80 | 8 | 9 | 7 | 4 | 10 | 7 | 10 | 1 | 3 | 9 | 7 | 5 |
2022/2023 | 48 | 4 | 4 | 6 | 5 | 8 | 10 | 8 | 0 | 1 | 2 | 0 | 0 |
2023/2024 | 40 | 0 | 0 | 0 | 1 | 7 | 13 | 1 | 8 | 5 | 5 | 0 | 0 |
Totale | 3.464 |