POZZANI, Gabriele
Distribuzione geografica
| Continente | # |
|---|---|
| NA - Nord America | 439 |
| EU - Europa | 294 |
| AS - Asia | 221 |
| AF - Africa | 71 |
| SA - Sud America | 14 |
| OC - Oceania | 9 |
| Continente sconosciuto - Info sul continente non disponibili | 2 |
| Totale | 1.050 |
| Nazione | # |
|---|---|
| US - Stati Uniti d'America | 428 |
| IT - Italia | 113 |
| IN - India | 68 |
| FR - Francia | 38 |
| NG - Nigeria | 27 |
| VN - Vietnam | 25 |
| DE - Germania | 22 |
| RO - Romania | 22 |
| PH - Filippine | 19 |
| RU - Federazione Russa | 17 |
| CN - Cina | 14 |
| GB - Regno Unito | 14 |
| PK - Pakistan | 14 |
| IR - Iran | 12 |
| CA - Canada | 11 |
| IE - Irlanda | 10 |
| AU - Australia | 9 |
| ID - Indonesia | 9 |
| NL - Olanda | 9 |
| CZ - Repubblica Ceca | 8 |
| ET - Etiopia | 8 |
| KE - Kenya | 8 |
| CO - Colombia | 7 |
| TR - Turchia | 7 |
| HU - Ungheria | 6 |
| KR - Corea | 6 |
| PT - Portogallo | 6 |
| SA - Arabia Saudita | 6 |
| ES - Italia | 5 |
| JP - Giappone | 5 |
| MY - Malesia | 5 |
| TZ - Tanzania | 5 |
| EG - Egitto | 4 |
| HK - Hong Kong | 4 |
| NP - Nepal | 4 |
| SG - Singapore | 4 |
| ZW - Zimbabwe | 4 |
| AE - Emirati Arabi Uniti | 3 |
| BE - Belgio | 3 |
| CL - Cile | 3 |
| GR - Grecia | 3 |
| KZ - Kazakistan | 3 |
| PL - Polonia | 3 |
| SE - Svezia | 3 |
| TH - Thailandia | 3 |
| TW - Taiwan | 3 |
| UA - Ucraina | 3 |
| ZA - Sudafrica | 3 |
| BR - Brasile | 2 |
| CH - Svizzera | 2 |
| EU - Europa | 2 |
| GH - Ghana | 2 |
| MR - Mauritania | 2 |
| NO - Norvegia | 2 |
| OM - Oman | 2 |
| PE - Perù | 2 |
| PS - Palestinian Territory | 2 |
| TN - Tunisia | 2 |
| ZM - Zambia | 2 |
| BD - Bangladesh | 1 |
| BG - Bulgaria | 1 |
| DK - Danimarca | 1 |
| DZ - Algeria | 1 |
| FI - Finlandia | 1 |
| IL - Israele | 1 |
| KG - Kirghizistan | 1 |
| LY - Libia | 1 |
| RS - Serbia | 1 |
| SK - Slovacchia (Repubblica Slovacca) | 1 |
| SL - Sierra Leone | 1 |
| SN - Senegal | 1 |
| Totale | 1.050 |
| Città | # |
|---|---|
| Dearborn | 207 |
| Ashburn | 94 |
| Kumar | 28 |
| Dong Ket | 14 |
| Lagos | 11 |
| University Park | 10 |
| Dublin | 9 |
| Galati | 8 |
| Rome | 8 |
| Beijing | 7 |
| Islamabad | 7 |
| Gurgaon | 6 |
| Hanoi | 6 |
| Houston | 6 |
| Milan | 6 |
| Wilmington | 6 |
| Ottawa | 5 |
| Paris | 5 |
| Bogotá | 4 |
| Cagayan de Oro | 4 |
| Cambridge | 4 |
| Chicago | 4 |
| Duluth | 4 |
| Izmir | 4 |
| London | 4 |
| Mem Martins | 4 |
| San Ramon | 4 |
| Verona | 4 |
| Woodbridge | 4 |
| Almaty | 3 |
| Amsterdam | 3 |
| Ann Arbor | 3 |
| Bangalore | 3 |
| Boardman | 3 |
| Hunedoara | 3 |
| Hyderabad | 3 |
| Kajang | 3 |
| Karachi | 3 |
| New Delhi | 3 |
| San Mateo | 3 |
| Santiago | 3 |
| Shingle Springs | 3 |
| Singapore | 3 |
| Southend | 3 |
| Strasbourg | 3 |
| Taipei | 3 |
| Taranto | 3 |
| Tarnaveni | 3 |
| Wuhan | 3 |
| Amadora | 2 |
| Carmiano | 2 |
| Central District | 2 |
| College Park | 2 |
| Delhi | 2 |
| Dodoma | 2 |
| Dubai | 2 |
| Durban | 2 |
| Fairfield | 2 |
| Franklin Lakes | 2 |
| Guidizzolo | 2 |
| Hamburg | 2 |
| Heteren | 2 |
| Jakarta | 2 |
| Jawalakhel | 2 |
| Kathmandu | 2 |
| Kaul | 2 |
| Los Angeles | 2 |
| Lusaka | 2 |
| Makassar | 2 |
| Malang | 2 |
| Manchester | 2 |
| Melbourne | 2 |
| Messina | 2 |
| Moscow | 2 |
| Norwalk | 2 |
| Pescara | 2 |
| Pleasantville | 2 |
| Pontassieve | 2 |
| Prato | 2 |
| Ramallah | 2 |
| Riyadh | 2 |
| Salamanca | 2 |
| Santa Marinella | 2 |
| Seattle | 2 |
| Suri | 2 |
| Sydney | 2 |
| Tehran | 2 |
| Ural | 2 |
| Algiers | 1 |
| Asahi | 1 |
| Bad Bellingen | 1 |
| Barceloneta | 1 |
| Basking Ridge | 1 |
| Belgrade | 1 |
| Berlin | 1 |
| Bogen | 1 |
| Bologna | 1 |
| Borca | 1 |
| Bothell | 1 |
| Brampton | 1 |
| Totale | 637 |
| Nome | # |
|---|---|
| Design, Development, Deployment of a Telemedicine System in a Developing Country: Dealing with Organizational and Social Issues, file e14ff6e3-32ad-0209-e053-6605fe0ad24c | 750 |
| Telemedicine for Developing Countries. A Survey and Some Design Issues, file e14ff6e5-76e0-0209-e053-6605fe0ad24c | 192 |
| Normalizing Spontaneous Reports into MedDRA: some Experiments with MagiCoder, file e14ff6e5-76f2-0209-e053-6605fe0ad24c | 57 |
| Modeling and querying spatio-temporal clinical databases with multiple granularities, file e14ff6e2-eb7a-0209-e053-6605fe0ad24c | 47 |
| From narrative descriptions to MedDRA: automagically encoding adverse drug reactions, file e14ff6e5-7859-0209-e053-6605fe0ad24c | 33 |
| An inference system for relationships between spatio-temporal granularities, file e14ff6e2-eb58-0209-e053-6605fe0ad24c | 32 |
| ST4SQL: a spatio-temporal query language dealing with granularities, file e14ff6e2-ed84-0209-e053-6605fe0ad24c | 16 |
| Totale | 1.127 |
| Categoria | # |
|---|---|
| all - tutte | 1.925 |
| article - articoli | 558 |
| book - libri | 0 |
| conference - conferenze | 854 |
| curatela - curatele | 0 |
| other - altro | 513 |
| patent - brevetti | 0 |
| selected - selezionate | 0 |
| volume - volumi | 0 |
| Totale | 3.850 |
| Totale | Lug | Ago | Sett | Ott | Nov | Dic | Gen | Feb | Mar | Apr | Mag | Giu | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018/2019 | 33 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 8 | 12 |
| 2019/2020 | 382 | 10 | 4 | 10 | 11 | 3 | 210 | 25 | 15 | 16 | 20 | 38 | 20 |
| 2020/2021 | 143 | 6 | 10 | 2 | 3 | 1 | 12 | 19 | 15 | 16 | 13 | 20 | 26 |
| 2021/2022 | 111 | 30 | 7 | 4 | 16 | 6 | 6 | 15 | 7 | 8 | 6 | 4 | 2 |
| 2022/2023 | 197 | 9 | 98 | 7 | 6 | 23 | 14 | 4 | 7 | 7 | 7 | 14 | 1 |
| 2023/2024 | 112 | 9 | 2 | 13 | 10 | 7 | 22 | 13 | 12 | 10 | 14 | 0 | 0 |
| Totale | 1.127 | ||||||||||||