AHELEGBEY, DANIEL FELIX
Distribuzione geografica
| Continente | # |
|---|---|
| EU - Europa | 105 |
| NA - Nord America | 48 |
| AS - Asia | 29 |
| AF - Africa | 19 |
| OC - Oceania | 4 |
| SA - Sud America | 1 |
| Totale | 206 |
| Nazione | # |
|---|---|
| IT - Italia | 46 |
| US - Stati Uniti d'America | 46 |
| IE - Irlanda | 12 |
| FR - Francia | 10 |
| GB - Regno Unito | 10 |
| NL - Olanda | 10 |
| TN - Tunisia | 7 |
| CN - Cina | 6 |
| ET - Etiopia | 6 |
| IN - India | 6 |
| CH - Svizzera | 5 |
| AU - Australia | 4 |
| JP - Giappone | 4 |
| ZA - Sudafrica | 4 |
| HK - Hong Kong | 3 |
| IR - Iran | 3 |
| DE - Germania | 2 |
| EG - Egitto | 2 |
| RS - Serbia | 2 |
| TR - Turchia | 2 |
| AT - Austria | 1 |
| BR - Brasile | 1 |
| CA - Canada | 1 |
| DK - Danimarca | 1 |
| ES - Italia | 1 |
| FI - Finlandia | 1 |
| HN - Honduras | 1 |
| KH - Cambogia | 1 |
| KR - Corea | 1 |
| PH - Filippine | 1 |
| PL - Polonia | 1 |
| PT - Portogallo | 1 |
| SE - Svezia | 1 |
| SG - Singapore | 1 |
| UA - Ucraina | 1 |
| VN - Vietnam | 1 |
| Totale | 206 |
| Città | # |
|---|---|
| Dublin | 12 |
| Sunnyvale | 8 |
| Milan | 7 |
| Baltimore | 6 |
| Chennai | 5 |
| Addis Ababa | 4 |
| Melbourne | 4 |
| Seattle | 4 |
| Tunis | 4 |
| Abingdon | 3 |
| Bologna | 3 |
| Central | 3 |
| Decatur | 3 |
| Marcon | 3 |
| Padova | 3 |
| Shanghai | 3 |
| Zurich | 3 |
| Amsterdam | 2 |
| Ashburn | 2 |
| Belgrade | 2 |
| Council Bluffs | 2 |
| Glasgow | 2 |
| Moularès | 2 |
| Randallstown | 2 |
| Salerno | 2 |
| Storrs | 2 |
| Tokyo | 2 |
| Venice | 2 |
| Andover | 1 |
| Ankara | 1 |
| Arlington | 1 |
| Austin | 1 |
| Berlin | 1 |
| Bottanuco | 1 |
| Bowmanville | 1 |
| Busto Arsizio | 1 |
| Cairo | 1 |
| Calcinato | 1 |
| Caloocan City | 1 |
| Cambridge | 1 |
| Cape Town | 1 |
| Casalnuovo di Napoli | 1 |
| Chicago | 1 |
| Civitanova Marche | 1 |
| Croydon | 1 |
| Cupar | 1 |
| Curitiba | 1 |
| Durban | 1 |
| East London | 1 |
| Essen | 1 |
| Feletto Umberto | 1 |
| Foggia | 1 |
| Guardizela | 1 |
| Hanam | 1 |
| Helsinki | 1 |
| Huddinge | 1 |
| Istanbul | 1 |
| Jendouba | 1 |
| London | 1 |
| Lugano | 1 |
| Makiivka | 1 |
| Marudo | 1 |
| Naples | 1 |
| Noida | 1 |
| Palermo | 1 |
| Paris | 1 |
| Paterna | 1 |
| Pavia | 1 |
| Phnom Penh | 1 |
| Poplar | 1 |
| Port Elizabeth | 1 |
| Portland | 1 |
| San Francisco | 1 |
| San Michele Salentino | 1 |
| Spreitenbach | 1 |
| Stanford | 1 |
| Thai Nguyen | 1 |
| Trissino | 1 |
| Umeda | 1 |
| Varese | 1 |
| Vienna | 1 |
| Warsaw | 1 |
| Wilmington | 1 |
| Totale | 155 |
| Nome | # |
|---|---|
| Bayesian Graphical Models for STructural Vector Autoregressive Processes, file e1f104fd-74e7-8c6e-e053-1005fe0aa0dd | 146 |
| Detecting spatial and temporal house price diffusion in the Netherlands: A Bayesian network approach, file e1f104fd-74e6-8c6e-e053-1005fe0aa0dd | 22 |
| Latent factor models for credit scoring in P2P systems, file e1f104fd-738b-8c6e-e053-1005fe0aa0dd | 12 |
| Modeling risk contagion in the Italian zonal electricity market, file e1f104fd-26ff-8c6e-e053-1005fe0aa0dd | 10 |
| Tree networks to assess financial contagion, file e1f104fd-5dde-8c6e-e053-1005fe0aa0dd | 10 |
| Tree networks to assess financial contagion, file e1f104fd-6667-8c6e-e053-1005fe0aa0dd | 4 |
| Sparse Graphical Vector Autoregression: A Bayesian Approach, file e1f104fc-78a8-8c6e-e053-1005fe0aa0dd | 1 |
| Network Based Evidence of the Financial Impact of Covid-19 Pandemic, file e1f104fd-4730-8c6e-e053-1005fe0aa0dd | 1 |
| Totale | 206 |
| Categoria | # |
|---|---|
| all - tutte | 598 |
| 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 | 598 |
| Totale | Lug | Ago | Sett | Ott | Nov | Dic | Gen | Feb | Mar | Apr | Mag | Giu | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021/2022 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
| 2022/2023 | 67 | 0 | 1 | 1 | 2 | 3 | 2 | 6 | 9 | 14 | 16 | 4 | 9 |
| 2023/2024 | 131 | 5 | 21 | 22 | 18 | 12 | 8 | 14 | 9 | 16 | 6 | 0 | 0 |
| Totale | 206 | ||||||||||||