HOSSEINI, MARJAN
Distribuzione geografica
| Continente | # |
|---|---|
| NA - Nord America | 605 |
| EU - Europa | 453 |
| AS - Asia | 316 |
| AF - Africa | 22 |
| SA - Sud America | 22 |
| OC - Oceania | 19 |
| Continente sconosciuto - Info sul continente non disponibili | 2 |
| Totale | 1.439 |
| Nazione | # |
|---|---|
| US - Stati Uniti d'America | 572 |
| IT - Italia | 180 |
| IN - India | 125 |
| DE - Germania | 60 |
| CN - Cina | 46 |
| IR - Iran | 38 |
| FR - Francia | 35 |
| CA - Canada | 30 |
| GB - Regno Unito | 29 |
| IE - Irlanda | 24 |
| NL - Olanda | 22 |
| ES - Italia | 19 |
| AU - Australia | 16 |
| JP - Giappone | 16 |
| SG - Singapore | 16 |
| BR - Brasile | 15 |
| BE - Belgio | 14 |
| IL - Israele | 14 |
| VN - Vietnam | 13 |
| GR - Grecia | 10 |
| SE - Svezia | 9 |
| RO - Romania | 8 |
| TR - Turchia | 8 |
| RU - Federazione Russa | 7 |
| HK - Hong Kong | 6 |
| MY - Malesia | 6 |
| NO - Norvegia | 6 |
| PT - Portogallo | 6 |
| TW - Taiwan | 6 |
| UA - Ucraina | 5 |
| CH - Svizzera | 4 |
| ET - Etiopia | 4 |
| MO - Macao, regione amministrativa speciale della Cina | 4 |
| TN - Tunisia | 4 |
| CL - Cile | 3 |
| CZ - Repubblica Ceca | 3 |
| DZ - Algeria | 3 |
| FI - Finlandia | 3 |
| ID - Indonesia | 3 |
| NZ - Nuova Zelanda | 3 |
| PL - Polonia | 3 |
| SA - Arabia Saudita | 3 |
| EU - Europa | 2 |
| KE - Kenya | 2 |
| KR - Corea | 2 |
| LT - Lituania | 2 |
| MA - Marocco | 2 |
| MX - Messico | 2 |
| NG - Nigeria | 2 |
| PK - Pakistan | 2 |
| TH - Thailandia | 2 |
| VE - Venezuela | 2 |
| ZA - Sudafrica | 2 |
| AE - Emirati Arabi Uniti | 1 |
| AT - Austria | 1 |
| BD - Bangladesh | 1 |
| BY - Bielorussia | 1 |
| CI - Costa d'Avorio | 1 |
| CO - Colombia | 1 |
| CR - Costa Rica | 1 |
| DK - Danimarca | 1 |
| EC - Ecuador | 1 |
| EG - Egitto | 1 |
| JO - Giordania | 1 |
| KW - Kuwait | 1 |
| LK - Sri Lanka | 1 |
| LV - Lettonia | 1 |
| PH - Filippine | 1 |
| ZW - Zimbabwe | 1 |
| Totale | 1.439 |
| Città | # |
|---|---|
| Milan | 77 |
| Houston | 51 |
| Ashburn | 34 |
| Fairfield | 30 |
| Seattle | 29 |
| Coventry | 23 |
| Buffalo | 19 |
| Wilmington | 19 |
| Ann Arbor | 18 |
| Dublin | 18 |
| Pittsburgh | 17 |
| Woodbridge | 15 |
| San Jose | 14 |
| Bengaluru | 13 |
| Bangalore | 12 |
| Naperville | 12 |
| Toronto | 12 |
| Cambridge | 11 |
| Gurgaon | 11 |
| Kumar | 11 |
| Beijing | 10 |
| Mumbai | 10 |
| Santa Cruz | 10 |
| Hyderabad | 9 |
| Ottawa | 9 |
| Shanghai | 9 |
| Amsterdam | 8 |
| Los Angeles | 8 |
| Singapore | 8 |
| Bentonville | 7 |
| Chennai | 7 |
| Council Bluffs | 7 |
| Durham | 7 |
| New York | 7 |
| Redmond | 7 |
| Rome | 7 |
| San Antonio | 7 |
| Belo Horizonte | 6 |
| Brussels | 6 |
| Dong Ket | 6 |
| Istanbul | 6 |
| Paris | 6 |
| Puteaux | 6 |
| Sydney | 6 |
| Athens | 5 |
| Brisbane | 5 |
| Chicago | 5 |
| Duncan | 5 |
| Las Vegas | 5 |
| Madrid | 5 |
| Philadelphia | 5 |
| Pune | 5 |
| Bresso | 4 |
| Columbus | 4 |
| Frankfurt am Main | 4 |
| Leicester | 4 |
| London | 4 |
| Mashhad | 4 |
| New Delhi | 4 |
| New Kensington | 4 |
| Radal | 4 |
| San Diego | 4 |
| Adelaide | 3 |
| Barcelona | 3 |
| Berlin | 3 |
| Boydton | 3 |
| Catanzaro | 3 |
| Deventer | 3 |
| Esmoriz | 3 |
| Fremont | 3 |
| Ghansoli | 3 |
| Glasgow | 3 |
| Gostar | 3 |
| Guangzhou | 3 |
| Helsinki | 3 |
| Henderson | 3 |
| Ho Chi Minh City | 3 |
| Kolkata | 3 |
| L'aquila | 3 |
| Milpitas | 3 |
| Mountain View | 3 |
| Phoenix | 3 |
| Rumst | 3 |
| Saarbrücken | 3 |
| San Mateo | 3 |
| Storrs | 3 |
| Storrs Mansfield | 3 |
| Trois-rivières | 3 |
| Ardebil | 2 |
| Atlanta | 2 |
| Austin | 2 |
| Beaufort | 2 |
| Bergen | 2 |
| Bolzano | 2 |
| Boulder | 2 |
| Brandon | 2 |
| Calgary | 2 |
| Cedar Knolls | 2 |
| Cincinnati | 2 |
| Cologne | 2 |
| Totale | 807 |
| Nome | # |
|---|---|
| Machine Learning for Performance Prediction of Spark Cloud Applications, file e0c31c0d-f7b4-4599-e053-1705fe0aef77 | 835 |
| A distributed feature selection algorithm based on distance correlation with an application to microarrays, file e0c31c0c-4720-4599-e053-1705fe0aef77 | 276 |
| Gray-Box Models for Performance Assessment of Spark Applications, file e0c31c0d-851f-4599-e053-1705fe0aef77 | 224 |
| Automated Mapping for Semantic-based Conversion of Transportation Data Formats, file e0c31c0e-f3d2-4599-e053-1705fe0aef77 | 142 |
| A multi-perspective approach for analyzing long-running live events on social media. A case study on the “Big Four” international fashion weeks, file e0c31c11-340b-4599-e053-1705fe0aef77 | 39 |
| Totale | 1.516 |
| Categoria | # |
|---|---|
| all - tutte | 2.286 |
| article - articoli | 604 |
| book - libri | 0 |
| conference - conferenze | 1.682 |
| curatela - curatele | 0 |
| other - altro | 0 |
| patent - brevetti | 0 |
| selected - selezionate | 0 |
| volume - volumi | 0 |
| Totale | 4.572 |
| Totale | Lug | Ago | Sett | Ott | Nov | Dic | Gen | Feb | Mar | Apr | Mag | Giu | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018/2019 | 14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 12 |
| 2019/2020 | 199 | 4 | 5 | 7 | 18 | 14 | 26 | 22 | 23 | 20 | 20 | 12 | 28 |
| 2020/2021 | 353 | 22 | 17 | 17 | 28 | 17 | 19 | 31 | 41 | 34 | 35 | 53 | 39 |
| 2021/2022 | 394 | 45 | 31 | 35 | 49 | 39 | 41 | 10 | 21 | 35 | 7 | 59 | 22 |
| 2022/2023 | 305 | 20 | 30 | 38 | 24 | 21 | 19 | 21 | 24 | 33 | 26 | 18 | 31 |
| 2023/2024 | 251 | 20 | 32 | 15 | 28 | 23 | 31 | 31 | 26 | 26 | 19 | 0 | 0 |
| Totale | 1.516 | ||||||||||||