RICUPERO, GIUSEPPE
Distribuzione geografica
Continente | # |
---|---|
NA - Nord America | 414 |
EU - Europa | 391 |
AS - Asia | 373 |
AF - Africa | 15 |
SA - Sud America | 7 |
OC - Oceania | 2 |
Continente sconosciuto - Info sul continente non disponibili | 1 |
Totale | 1203 |
Nazione | # |
---|---|
US - Stati Uniti d'America | 405 |
CN - Cina | 219 |
IT - Italia | 143 |
RO - Romania | 83 |
IN - India | 57 |
VN - Vietnam | 51 |
FR - Francia | 41 |
GB - Regno Unito | 28 |
DE - Germania | 17 |
PL - Polonia | 13 |
IE - Irlanda | 12 |
RU - Federazione Russa | 12 |
CA - Canada | 9 |
DZ - Algeria | 8 |
ES - Italia | 8 |
UA - Ucraina | 7 |
MY - Malesia | 6 |
BR - Brasile | 5 |
CZ - Repubblica Ceca | 5 |
GR - Grecia | 5 |
SG - Singapore | 5 |
CY - Cipro | 4 |
ID - Indonesia | 4 |
KR - Corea | 4 |
NG - Nigeria | 4 |
PH - Filippine | 4 |
AT - Austria | 3 |
FI - Finlandia | 3 |
IR - Iran | 3 |
KH - Cambogia | 3 |
PK - Pakistan | 3 |
TW - Taiwan | 3 |
AE - Emirati Arabi Uniti | 2 |
AP - ???statistics.table.value.countryCode.AP??? | 2 |
CL - Cile | 2 |
EE - Estonia | 2 |
GU - Guam | 2 |
HK - Hong Kong | 2 |
HR - Croazia | 2 |
NL - Olanda | 2 |
NO - Norvegia | 2 |
TR - Turchia | 2 |
ZA - Sudafrica | 2 |
A2 - ???statistics.table.value.countryCode.A2??? | 1 |
EG - Egitto | 1 |
JP - Giappone | 1 |
SE - Svezia | 1 |
Totale | 1203 |
Città | # |
---|---|
Sibiu | 80 |
Fairfield | 56 |
Houston | 43 |
Hanoi | 32 |
Seattle | 29 |
Ashburn | 28 |
Ann Arbor | 25 |
Jinan | 25 |
Turin | 24 |
Cambridge | 23 |
Wilmington | 20 |
Woodbridge | 20 |
Southend | 18 |
Buffalo | 16 |
Santa Cruz | 16 |
Torino | 16 |
Hangzhou | 15 |
Zhengzhou | 15 |
Nanning | 14 |
Beijing | 13 |
Hefei | 13 |
Hyderabad | 13 |
Dublin | 12 |
Taiyuan | 11 |
Rome | 10 |
Guangzhou | 8 |
San Ramon | 8 |
University Park | 8 |
Norwalk | 7 |
Shenyang | 7 |
Dong Ket | 6 |
San Diego | 6 |
Trzemesnia | 6 |
Bengaluru | 5 |
Fleming Island | 5 |
Mountain View | 5 |
San Donato Milanese | 5 |
Singapore | 5 |
Toronto | 5 |
Binasco | 4 |
Boardman | 4 |
Chicago | 4 |
Hebei | 4 |
Höst | 4 |
Lagos | 4 |
Meerut | 4 |
Menlo Park | 4 |
Mumbai | 4 |
Murcia | 4 |
Paris | 4 |
Phoenix | 4 |
Shenzhen | 4 |
Changsha | 3 |
Clearwater | 3 |
Helsinki | 3 |
Ho Chi Minh City | 3 |
Islamabad | 3 |
Jakarta | 3 |
Kunming | 3 |
Lake Forest | 3 |
New Delhi | 3 |
Padova | 3 |
Phu Nhuan | 3 |
Rimini | 3 |
Suri | 3 |
Varese | 3 |
Alba | 2 |
Alcalá De Henares | 2 |
Alessandria | 2 |
Ambrogio | 2 |
Andover | 2 |
Athens | 2 |
Austin | 2 |
Bra | 2 |
Brescia | 2 |
Calgary | 2 |
Chandler | 2 |
Chennai | 2 |
Chongqing | 2 |
Delhi | 2 |
Durham | 2 |
Fremont | 2 |
Gliwice | 2 |
Grieskirchen | 2 |
Indore | 2 |
Izmir | 2 |
Kalyani | 2 |
Kaul | 2 |
Kuala Terengganu | 2 |
Las Vegas | 2 |
Los Angeles | 2 |
Manipal | 2 |
Melun | 2 |
Messina | 2 |
Milan | 2 |
Moscow | 2 |
Mszana Dolna | 2 |
Muizenberg | 2 |
Myslenice | 2 |
Naples | 2 |
Totale | 835 |
Nome | # |
---|---|
Modeling correlations among air pollution-related data through generalized association rules, file e384c42f-1713-d4b2-e053-9f05fe0a1d67 | 488 |
Discovering High-Utility Itemsets at Multiple Abstraction Levels, file e384c42f-a7e6-d4b2-e053-9f05fe0a1d67 | 327 |
Exploring Data Hierarchies to Discover Knowledge in Different Domains, file e384c430-c7c8-d4b2-e053-9f05fe0a1d67 | 320 |
An explainable data-driven approach to web directory taxonomy mapping, file e384c432-e2d5-d4b2-e053-9f05fe0a1d67 | 57 |
Characterizing situations of dock overload in bicycle sharing stations, file e384c430-bc23-d4b2-e053-9f05fe0a1d67 | 44 |
Exploring Data Hierarchies to Discover Knowledge in Different Domains, file e384c430-c7c9-d4b2-e053-9f05fe0a1d67 | 25 |
An explainable data-driven approach to web directory taxonomy mapping, file e384c432-6855-d4b2-e053-9f05fe0a1d67 | 3 |
Totale | 1264 |
Categoria | # |
---|---|
all - tutte | 1648 |
article - articoli | 86 |
book - libri | 0 |
conference - conferenze | 1156 |
curatela - curatele | 0 |
other - altro | 0 |
patent - brevetti | 0 |
selected - selezionate | 0 |
volume - volumi | 0 |
Totale | 2890 |
Totale | Lug | Ago | Sett | Ott | Nov | Dic | Gen | Feb | Mar | Apr | Mag | Giu | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2017/2018 | 34 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 8 | 12 | 2 | 2 | 0 |
2018/2019 | 83 | 0 | 0 | 5 | 5 | 0 | 1 | 2 | 1 | 3 | 16 | 28 | 22 |
2019/2020 | 316 | 18 | 12 | 11 | 15 | 23 | 8 | 150 | 15 | 23 | 6 | 19 | 16 |
2020/2021 | 284 | 26 | 16 | 20 | 8 | 17 | 20 | 15 | 22 | 56 | 12 | 36 | 36 |
2021/2022 | 199 | 11 | 14 | 6 | 33 | 25 | 18 | 23 | 14 | 10 | 9 | 23 | 13 |
2022/2023 | 78 | 9 | 11 | 18 | 11 | 2 | 16 | 11 | 0 | 0 | 0 | 0 | 0 |
Totale | 1264 |