TORLONE, Riccardo
Distribuzione geografica
| Continente | # |
|---|---|
| EU - Europa | 133 |
| NA - Nord America | 70 |
| AS - Asia | 63 |
| AF - Africa | 26 |
| SA - Sud America | 6 |
| OC - Oceania | 4 |
| Totale | 302 |
| Nazione | # |
|---|---|
| US - Stati Uniti d'America | 66 |
| IT - Italia | 49 |
| CN - Cina | 38 |
| DE - Germania | 27 |
| FR - Francia | 18 |
| GB - Regno Unito | 18 |
| HK - Hong Kong | 7 |
| TN - Tunisia | 7 |
| EC - Ecuador | 6 |
| AU - Australia | 4 |
| CM - Camerun | 4 |
| FI - Finlandia | 4 |
| JP - Giappone | 4 |
| BN - Brunei Darussalam | 3 |
| CH - Svizzera | 3 |
| IN - India | 3 |
| LY - Libia | 3 |
| PT - Portogallo | 3 |
| SE - Svezia | 3 |
| VN - Vietnam | 3 |
| ZA - Sudafrica | 3 |
| BF - Burkina Faso | 2 |
| CA - Canada | 2 |
| CI - Costa d'Avorio | 2 |
| MY - Malesia | 2 |
| NP - Nepal | 2 |
| RU - Federazione Russa | 2 |
| TZ - Tanzania | 2 |
| UA - Ucraina | 2 |
| UG - Uganda | 2 |
| BW - Botswana | 1 |
| CR - Costa Rica | 1 |
| ES - Italia | 1 |
| IE - Irlanda | 1 |
| MX - Messico | 1 |
| NL - Olanda | 1 |
| RO - Romania | 1 |
| SG - Singapore | 1 |
| Totale | 302 |
| Città | # |
|---|---|
| Beijing | 26 |
| Ashburn | 23 |
| Rome | 23 |
| Bünde | 6 |
| Gaithersburg | 6 |
| Leipzig | 5 |
| London | 5 |
| New York | 5 |
| Shanghai | 5 |
| Douala | 4 |
| Bandar Seri Begawan | 3 |
| Bremen | 3 |
| Buffalo | 3 |
| Caselle Lurani | 3 |
| Coventry | 3 |
| Los Angeles | 3 |
| Lützelflüh | 3 |
| Macerata | 3 |
| Milan | 3 |
| Quito | 3 |
| Stockholm | 3 |
| Tripoli | 3 |
| Vanderbijlpark | 3 |
| Athens | 2 |
| Bari | 2 |
| Burnaby | 2 |
| Cepet | 2 |
| Chicago | 2 |
| Helsinki | 2 |
| Kampala | 2 |
| Kathmandu | 2 |
| Killeen | 2 |
| Lisbon | 2 |
| Liverpool | 2 |
| Lviv | 2 |
| Melbourne | 2 |
| Osaka | 2 |
| Puerto Francisco de Orellana | 2 |
| San Francisco | 2 |
| San Jose | 2 |
| Saratoga | 2 |
| Seattle | 2 |
| Sydney | 2 |
| Tokyo | 2 |
| Venice | 2 |
| Ancona | 1 |
| Aryanah | 1 |
| Bien Hoa | 1 |
| Birmingham | 1 |
| Carpi | 1 |
| Central | 1 |
| Cologne | 1 |
| Columbus | 1 |
| Cunduacan | 1 |
| Da Nang | 1 |
| Dongguan | 1 |
| Dorset | 1 |
| Dublin | 1 |
| Dulles | 1 |
| Edison | 1 |
| Elgin | 1 |
| Falkenstein | 1 |
| Frankfurt am Main | 1 |
| Gaborone | 1 |
| Great Dunmow | 1 |
| Guayaquil | 1 |
| Hamburg | 1 |
| Hangzhou | 1 |
| Ho Chi Minh City | 1 |
| Hong Kong | 1 |
| Islington | 1 |
| Johor Bahru | 1 |
| Jyväskylä | 1 |
| Kansas City | 1 |
| Kolkata | 1 |
| Kowloon | 1 |
| Langen | 1 |
| Leeds | 1 |
| Little Rock | 1 |
| Ludwigsburg | 1 |
| Manchester | 1 |
| Matosinhos Municipality | 1 |
| Nuremberg | 1 |
| Oulu | 1 |
| Parlin | 1 |
| Patna | 1 |
| Perm | 1 |
| Plymouth | 1 |
| Pune | 1 |
| Rivas-Vaciamadrid | 1 |
| Saarbrücken | 1 |
| San José | 1 |
| Santpoort-Zuid | 1 |
| Singapore | 1 |
| Springfield | 1 |
| St Petersburg | 1 |
| Subang Jaya | 1 |
| Turin | 1 |
| Vibo Valentia | 1 |
| Weinheim | 1 |
| Totale | 246 |
| Nome | # |
|---|---|
| Data modeling in the NoSQL world, file cf67f914-23aa-49d8-8cf4-1ee34033e4cc | 208 |
| Meta-mappings for schema mapping reuse, file e397d80e-ebd2-b0de-e053-6605fe0a1c76 | 45 |
| Fast enumeration of large k-Plexes, file e397d80e-a636-b0de-e053-6605fe0a1c76 | 35 |
| A meta-algorithm for finding large k-plexes, file 34c5f352-c7fe-4125-a103-1cfb1d49eedd | 5 |
| Approximate Querying of RDF Graphs via Path Alignment, file e397d80b-50e2-b0de-e053-6605fe0a1c76 | 4 |
| The relational model is dead, SQL is dead, and I don’t feel so good myself, file e397d80b-337c-b0de-e053-6605fe0a1c76 | 3 |
| Taxonomy-based relaxation of query answering in relational databases, file e397d80b-319a-b0de-e053-6605fe0a1c76 | 2 |
| Totale | 302 |
| Categoria | # |
|---|---|
| all - tutte | 1.048 |
| 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 | 1.048 |
| Totale | Lug | Ago | Sett | Ott | Nov | Dic | Gen | Feb | Mar | Apr | Mag | Giu | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021/2022 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
| 2022/2023 | 128 | 10 | 8 | 7 | 8 | 15 | 15 | 8 | 8 | 9 | 9 | 26 | 5 |
| 2023/2024 | 162 | 8 | 12 | 10 | 6 | 12 | 15 | 29 | 33 | 22 | 13 | 2 | 0 |
| Totale | 302 | ||||||||||||