statistiche per Working papers MEQ. Quantitative Methods Series (2013-2017)
Distribuzione geografica
Continente | # |
---|---|
EU - Europa | 2676 |
NA - Nord America | 815 |
AS - Asia | 416 |
SA - Sud America | 31 |
OC - Oceania | 27 |
AF - Africa | 16 |
Continente sconosciuto - Info sul continente non disponibili | 3 |
Totale | 3984 |
Nazione | # |
---|---|
SE - Svezia | 1684 |
US - Stati Uniti d'America | 794 |
DE - Germania | 318 |
CN - Cina | 204 |
IT - Italia | 176 |
AT - Austria | 131 |
RU - Federazione Russa | 84 |
GB - Regno Unito | 60 |
IR - Iran | 52 |
FR - Francia | 51 |
EU - Europa | 30 |
IN - India | 29 |
CZ - Repubblica Ceca | 21 |
ES - Italia | 21 |
NL - Olanda | 19 |
SA - Arabia Saudita | 19 |
AU - Australia | 18 |
HU - Ungheria | 17 |
PL - Polonia | 17 |
CA - Canada | 16 |
CH - Svizzera | 16 |
JP - Giappone | 15 |
BR - Brasile | 13 |
KR - Corea | 13 |
TR - Turchia | 13 |
MY - Malesia | 11 |
TW - Taiwan | 11 |
UA - Ucraina | 11 |
SG - Singapore | 10 |
HK - Hong Kong | 9 |
DK - Danimarca | 8 |
NZ - Nuova Zelanda | 8 |
VN - Vietnam | 8 |
CO - Colombia | 7 |
RO - Romania | 7 |
NO - Norvegia | 6 |
PH - Filippine | 6 |
BE - Belgio | 5 |
CL - Cile | 5 |
ID - Indonesia | 5 |
IE - Irlanda | 5 |
PT - Portogallo | 5 |
ZA - Sudafrica | 4 |
EE - Estonia | 3 |
GR - Grecia | 3 |
TN - Tunisia | 3 |
AR - Argentina | 2 |
BT - Bhutan | 2 |
BZ - Belize | 2 |
ET - Etiopia | 2 |
GH - Ghana | 2 |
IL - Israele | 2 |
LT - Lituania | 2 |
MA - Marocco | 2 |
MX - Messico | 2 |
PE - Perù | 2 |
SK - Slovacchia (Repubblica Slovacca) | 2 |
TH - Thailandia | 2 |
AE - Emirati Arabi Uniti | 1 |
AM - Armenia | 1 |
BG - Bulgaria | 1 |
BO - Bolivia | 1 |
BY - Bielorussia | 1 |
CY - Cipro | 1 |
EG - Egitto | 1 |
FI - Finlandia | 1 |
GN - Guinea | 1 |
HR - Croazia | 1 |
PG - Papua Nuova Guinea | 1 |
PK - Pakistan | 1 |
SV - El Salvador | 1 |
SY - Repubblica araba siriana | 1 |
VE - Venezuela | 1 |
ZW - Zimbabwe | 1 |
Totale | 4011 |
Città | # |
---|---|
Örebro | 1679 |
Mountain View | 135 |
Vienna | 129 |
Beijing | 78 |
Woodbridge | 65 |
Dalmine | 41 |
Kiez | 39 |
Sunnyvale | 38 |
San Francisco | 33 |
University Park | 29 |
Wuhan | 23 |
Seattle | 21 |
Hangzhou | 20 |
Nürnberg | 20 |
Chaoyang | 15 |
Warsaw | 15 |
Milan | 14 |
San Diego | 13 |
Rancio Valcuvia | 12 |
Fairfield | 11 |
Southampton | 11 |
Houston | 10 |
Kiel | 10 |
Shanghai | 10 |
Ann Arbor | 9 |
Ashburn | 9 |
Cambridge | 9 |
London | 9 |
Tehran | 9 |
Karlsruhe | 8 |
Kuala Lumpur | 7 |
Madrid | 7 |
Munich | 7 |
Nanjing | 7 |
Ottawa | 7 |
Seoul | 7 |
Taipei | 7 |
Budapest | 6 |
Ithaca | 6 |
Lake Forest | 6 |
Mashhad | 6 |
Pittsburgh | 6 |
Rome | 6 |
San Luis Obispo | 6 |
Simi Valley | 6 |
Brisbane | 5 |
Buffalo | 5 |
Leawood | 5 |
Singapore | 5 |
Sydney | 5 |
Bekasi | 4 |
Brescia | 4 |
Carmel | 4 |
Central District | 4 |
Cupertino | 4 |
Fort Lauderdale | 4 |
Fremont | 4 |
Milpitas | 4 |
New York | 4 |
Portici | 4 |
Santiago | 4 |
Tolosa | 4 |
Absecon | 3 |
Athens | 3 |
Berlin | 3 |
Brussels | 3 |
Changsha | 3 |
Chengdu | 3 |
Copenhagen | 3 |
Evanston | 3 |
Hanoi | 3 |
Holenberg | 3 |
Hösting | 3 |
Jaipur | 3 |
Jallan | 3 |
La Mancha | 3 |
Monza | 3 |
Mumbai | 3 |
Oslo | 3 |
Phoenix | 3 |
Prague | 3 |
Stony Brook | 3 |
Tampa | 3 |
Washington | 3 |
Ahmadabad | 2 |
Amsterdam | 2 |
Ankara | 2 |
Atlanta | 2 |
Auckland | 2 |
Bangalore | 2 |
Barcelona | 2 |
Bergamo | 2 |
Berkeley | 2 |
Bologna | 2 |
Brasília | 2 |
Bremen | 2 |
Champaign | 2 |
Chicago | 2 |
Costa Mesa | 2 |
Denver | 2 |
Totale | 2792 |
Nome | # |
---|---|
Portfolio selection with options, file 12068 | 1019 |
A risk averse stochastic optimization model for power generation capacity expansion, file 12350 | 861 |
Modeling chromatin fibre folding for human embryonic stem cells, file 12064 | 760 |
A bilevel programing approach to modeling of power transmission capacity planning, file 12060 | 721 |
Power transmission capacity expansion in a market driven environment with application to the Italian electricity market, file 12066 | 645 |
Reprojection of the conjugate directions in ABS classes. Part II, file 155260 | 100 |
Pension fund optimal allocations, file 63544 | 98 |
Portfolio loss modeling: an infectious framework, file 69115 | 80 |
Totale | 4284 |
Totale | Lug | Ago | Sett | Ott | Nov | Dic | Gen | Feb | Mar | Apr | Mag | Giu | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2016/2017 | 34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 34 |
2017/2018 | 394 | 31 | 20 | 20 | 29 | 30 | 31 | 42 | 39 | 42 | 32 | 30 | 48 |
2018/2019 | 486 | 53 | 36 | 28 | 48 | 35 | 50 | 38 | 28 | 47 | 33 | 36 | 54 |
2019/2020 | 324 | 36 | 23 | 34 | 32 | 25 | 35 | 30 | 27 | 19 | 19 | 20 | 24 |
2020/2021 | 360 | 12 | 58 | 19 | 30 | 41 | 33 | 30 | 26 | 19 | 28 | 32 | 32 |
2021/2022 | 360 | 26 | 29 | 29 | 31 | 40 | 33 | 28 | 31 | 26 | 31 | 31 | 25 |
Totale | 4284 |