Della Marra, Fabio
Distribuzione geografica
| Continente | # |
|---|---|
| EU - Europa | 1.991 |
| NA - Nord America | 1.433 |
| AS - Asia | 368 |
| AF - Africa | 100 |
| SA - Sud America | 62 |
| OC - Oceania | 5 |
| Continente sconosciuto - Info sul continente non disponibili | 3 |
| Totale | 3.962 |
| Nazione | # |
|---|---|
| US - Stati Uniti d'America | 1.405 |
| DE - Germania | 1.201 |
| IT - Italia | 354 |
| CN - Cina | 128 |
| GB - Regno Unito | 88 |
| NG - Nigeria | 61 |
| RU - Federazione Russa | 60 |
| UA - Ucraina | 57 |
| PK - Pakistan | 49 |
| AF - Afghanistan, Repubblica islamica di | 47 |
| FR - Francia | 44 |
| IN - India | 44 |
| FI - Finlandia | 29 |
| BR - Brasile | 28 |
| ID - Indonesia | 27 |
| RO - Romania | 25 |
| IE - Irlanda | 23 |
| ES - Italia | 18 |
| PL - Polonia | 18 |
| CA - Canada | 16 |
| CZ - Repubblica Ceca | 15 |
| MX - Messico | 12 |
| JP - Giappone | 11 |
| GR - Grecia | 10 |
| KR - Corea | 10 |
| CO - Colombia | 9 |
| NL - Olanda | 9 |
| AT - Austria | 8 |
| CL - Cile | 8 |
| IQ - Iraq | 8 |
| IR - Iran | 8 |
| MA - Marocco | 8 |
| BE - Belgio | 7 |
| CH - Svizzera | 7 |
| EC - Ecuador | 7 |
| EG - Egitto | 7 |
| SE - Svezia | 6 |
| VN - Vietnam | 6 |
| AU - Australia | 5 |
| JO - Giordania | 4 |
| KE - Kenya | 4 |
| MY - Malesia | 4 |
| PE - Perù | 4 |
| TH - Thailandia | 4 |
| ZW - Zimbabwe | 4 |
| AR - Argentina | 3 |
| IL - Israele | 3 |
| LY - Libia | 3 |
| SA - Arabia Saudita | 3 |
| SG - Singapore | 3 |
| SN - Senegal | 3 |
| TW - Taiwan | 3 |
| BO - Bolivia | 2 |
| CM - Camerun | 2 |
| DK - Danimarca | 2 |
| EU - Europa | 2 |
| HU - Ungheria | 2 |
| MK - Macedonia | 2 |
| MR - Mauritania | 2 |
| PT - Portogallo | 2 |
| ZA - Sudafrica | 2 |
| A1 - Anonimo | 1 |
| AZ - Azerbaigian | 1 |
| BD - Bangladesh | 1 |
| BW - Botswana | 1 |
| DZ - Algeria | 1 |
| EE - Estonia | 1 |
| ET - Etiopia | 1 |
| GE - Georgia | 1 |
| HK - Hong Kong | 1 |
| LU - Lussemburgo | 1 |
| LV - Lettonia | 1 |
| PH - Filippine | 1 |
| RS - Serbia | 1 |
| SR - Suriname | 1 |
| TN - Tunisia | 1 |
| TR - Turchia | 1 |
| Totale | 3.962 |
| Città | # |
|---|---|
| Woodbridge | 166 |
| Nürnberg | 159 |
| Mountain View | 86 |
| Beijing | 73 |
| Leawood | 73 |
| Houston | 69 |
| Fairfield | 60 |
| Modena | 51 |
| Centre Hall | 48 |
| Kabul | 47 |
| Fleming Island | 44 |
| Ashburn | 36 |
| Ann Arbor | 35 |
| Seattle | 34 |
| Cambridge | 29 |
| Buffalo | 25 |
| Wilmington | 25 |
| Rome | 23 |
| Milan | 20 |
| Wuhan | 18 |
| Bedford | 16 |
| Piacenza | 15 |
| Simi Valley | 15 |
| Awka | 14 |
| Hangzhou | 14 |
| Helsinki | 14 |
| Venezia | 14 |
| Tampere | 13 |
| Warsaw | 13 |
| London | 12 |
| Santa Cruz | 12 |
| Boardman | 11 |
| Jakarta | 11 |
| Los Angeles | 11 |
| Cagliari | 9 |
| Columbus | 9 |
| Napoli | 9 |
| Parma | 9 |
| Landshut | 8 |
| Florence | 7 |
| Bremen | 6 |
| Brooklyn | 6 |
| Chengdu | 6 |
| Madrid | 6 |
| Padova | 6 |
| Santiago | 6 |
| Bogotá | 5 |
| Catania | 5 |
| Costa Mesa | 5 |
| Dallas | 5 |
| Dearborn | 5 |
| Nashville | 5 |
| Quito | 5 |
| Saint Petersburg | 5 |
| San Diego | 5 |
| University Park | 5 |
| Amman | 4 |
| Anzio | 4 |
| Bengaluru | 4 |
| Brasília | 4 |
| Chicago | 4 |
| Como | 4 |
| Des Moines | 4 |
| Dong Ket | 4 |
| Genova | 4 |
| Harare | 4 |
| Lahore | 4 |
| Manassas | 4 |
| Parsippany | 4 |
| Phoenix | 4 |
| Suri | 4 |
| Terracina | 4 |
| Viroflay | 4 |
| Acworth | 3 |
| Amsterdam | 3 |
| Basingstoke | 3 |
| Brescia | 3 |
| Brussels | 3 |
| Bupyeong-gu | 3 |
| Cairo | 3 |
| Dublin | 3 |
| Geneva | 3 |
| Guangzhou | 3 |
| Gwanak-gu | 3 |
| Hollywood | 3 |
| Lima | 3 |
| Mont-saint-aignan | 3 |
| Nara | 3 |
| Old Bridge | 3 |
| San Mateo | 3 |
| Shanghai | 3 |
| Tokyo | 3 |
| Toronto | 3 |
| Trieste | 3 |
| Tripoli | 3 |
| Tübingen | 3 |
| Verona | 3 |
| Ahmedabad | 2 |
| Athens | 2 |
| Baghdad | 2 |
| Totale | 1.589 |
| Nome | # |
|---|---|
| Forecasting with Dynamic Factor Models in both finite and infinite dimensional factor spaces., file e4239ddc-5405-7180-e053-3705fe0a3322 | 1.529 |
| Macroeconomic forecasting: a non-standard optimisation approach to the calibration of dynamic factor models., file e4239ddc-5d05-7180-e053-3705fe0a3322 | 1.305 |
| A genetic approach to the calibration of selected dynamic factor models for macroeconomic forecasting., file e4239ddc-681e-7180-e053-3705fe0a3322 | 587 |
| Calibrating Dynamic Factor Models with Genetic Algorithms, file e4239ddc-ac39-7180-e053-3705fe0a3322 | 333 |
| A forecasting performance comparison of dynamic factor models based on static and dynamic methods, file e4239ddc-525e-7180-e053-3705fe0a3322 | 262 |
| Macroeconomic forecasting: a non-standard optimisation approach to the calibration of dynamic factor models., file e4239ddc-669d-7180-e053-3705fe0a3322 | 48 |
| Bootstrap ClustGeo with spatial constraints, file e4239ddc-e24f-7180-e053-3705fe0a3322 | 4 |
| Totale | 4.068 |
| Categoria | # |
|---|---|
| all - tutte | 12.942 |
| article - articoli | 0 |
| book - libri | 0 |
| conference - conferenze | 0 |
| curatela - curatele | 0 |
| other - altro | 0 |
| patent - brevetti | 0 |
| selected - selezionate | 0 |
| volume - volumi | 0 |
| Totale | 12.942 |
| Totale | Lug | Ago | Sett | Ott | Nov | Dic | Gen | Feb | Mar | Apr | Mag | Giu | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018/2019 | 183 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 113 | 70 |
| 2019/2020 | 815 | 76 | 110 | 77 | 72 | 82 | 68 | 44 | 39 | 61 | 103 | 40 | 43 |
| 2020/2021 | 615 | 46 | 32 | 54 | 24 | 78 | 46 | 43 | 87 | 60 | 35 | 59 | 51 |
| 2021/2022 | 489 | 44 | 20 | 49 | 80 | 44 | 12 | 21 | 24 | 40 | 33 | 93 | 29 |
| 2022/2023 | 497 | 29 | 23 | 33 | 47 | 39 | 211 | 44 | 25 | 9 | 18 | 14 | 5 |
| 2023/2024 | 184 | 13 | 6 | 7 | 5 | 54 | 22 | 8 | 26 | 9 | 19 | 15 | 0 |
| Totale | 4.068 | ||||||||||||