MARIN, RICCARDO
Distribuzione geografica
| Continente | # |
|---|---|
| AS - Asia | 284 |
| EU - Europa | 133 |
| NA - Nord America | 81 |
| OC - Oceania | 6 |
| SA - Sud America | 2 |
| Totale | 506 |
| Nazione | # |
|---|---|
| CN - Cina | 241 |
| US - Stati Uniti d'America | 74 |
| IT - Italia | 62 |
| FR - Francia | 33 |
| CH - Svizzera | 8 |
| JP - Giappone | 8 |
| CA - Canada | 7 |
| KR - Corea | 7 |
| HK - Hong Kong | 6 |
| ID - Indonesia | 6 |
| GB - Regno Unito | 5 |
| BE - Belgio | 4 |
| DE - Germania | 4 |
| SG - Singapore | 4 |
| AU - Australia | 3 |
| IE - Irlanda | 3 |
| IN - India | 3 |
| NZ - Nuova Zelanda | 3 |
| RO - Romania | 3 |
| GR - Grecia | 2 |
| IL - Israele | 2 |
| NL - Olanda | 2 |
| RU - Federazione Russa | 2 |
| TR - Turchia | 2 |
| AT - Austria | 1 |
| BR - Brasile | 1 |
| CZ - Repubblica Ceca | 1 |
| DK - Danimarca | 1 |
| IR - Iran | 1 |
| LT - Lituania | 1 |
| MY - Malesia | 1 |
| NP - Nepal | 1 |
| PK - Pakistan | 1 |
| PY - Paraguay | 1 |
| SA - Arabia Saudita | 1 |
| SE - Svezia | 1 |
| Totale | 506 |
| Città | # |
|---|---|
| Nanjing | 94 |
| Rome | 30 |
| Shanghai | 25 |
| Chengdu | 14 |
| Jinan | 13 |
| Santa Cruz | 10 |
| Lanzhou | 9 |
| Changsha | 7 |
| Ashburn | 5 |
| Central District | 5 |
| Tokyo | 5 |
| Fairfield | 4 |
| Pohang | 4 |
| Washington | 4 |
| Beijing | 3 |
| Brussels | 3 |
| Dublin | 3 |
| Eugene | 3 |
| Houston | 3 |
| Paris | 3 |
| Yokohama | 3 |
| Baulkham Hills | 2 |
| Bedford | 2 |
| Bengaluru | 2 |
| Hangzhou | 2 |
| Longueuil | 2 |
| Mill Valley | 2 |
| New York | 2 |
| Ruschlikon | 2 |
| San Diego | 2 |
| Verona | 2 |
| Wilmington | 2 |
| Woodbridge | 2 |
| Aix-en-provence | 1 |
| Albano Laziale | 1 |
| Ankara | 1 |
| Asunción | 1 |
| Ballerup | 1 |
| Barak | 1 |
| Bellevue | 1 |
| Brindisi | 1 |
| Brisbane | 1 |
| Cambridge | 1 |
| Cedar Knolls | 1 |
| Centro | 1 |
| Como | 1 |
| Des Moines | 1 |
| Deux-montagnes | 1 |
| Freitas | 1 |
| Gallarate | 1 |
| Grenoble | 1 |
| Hong Kong | 1 |
| Kaunas | 1 |
| Kraainem | 1 |
| Kuala Lumpur | 1 |
| London | 1 |
| Los Angeles | 1 |
| Manhattan | 1 |
| Mannheim | 1 |
| Miami | 1 |
| Milan | 1 |
| Montreal | 1 |
| Mountain View | 1 |
| Munich | 1 |
| Netanya | 1 |
| Noiseau | 1 |
| Okemos | 1 |
| Ottawa | 1 |
| Padova | 1 |
| Pisa | 1 |
| Providence | 1 |
| Provo | 1 |
| Pullman | 1 |
| Rotterdam | 1 |
| Sacramento | 1 |
| Saint Petersburg | 1 |
| San Jose | 1 |
| San Martino Buon Albergo | 1 |
| Seattle | 1 |
| Sezze | 1 |
| Silver Spring | 1 |
| Singapore | 1 |
| Solna | 1 |
| Tariceni | 1 |
| Thuwal | 1 |
| Toronto | 1 |
| Tübingen | 1 |
| Ulu Bedok | 1 |
| Utrecht | 1 |
| Villeneuve | 1 |
| Xining | 1 |
| Zurich | 1 |
| Totale | 333 |
| Nome | # |
|---|---|
| SHREC’19: matching humans with different connectivity, file e3835325-55f4-15e8-e053-a505fe0a3de9 | 347 |
| Instant recovery of shape from spectrum via latent space connections, file e3835329-4ec7-15e8-e053-a505fe0a3de9 | 141 |
| Shape Registration in the Time of Transformers, file e383532e-1f2c-15e8-e053-a505fe0a3de9 | 8 |
| Shape Registration in the Time of Transformers, file 7e54015f-649b-41c4-b007-b136a8b7c9c7 | 5 |
| Shape Registration in the Time of Transformers, file a511a482-5d05-4b7c-9afc-fa1755fd7760 | 4 |
| Shape Registration in the Time of Transformers, file 02128887-334c-4d83-89e8-148f685fb01b | 3 |
| Shape Registration in the Time of Transformers, file 5b985463-1d07-463f-910b-b91f86e8e3af | 2 |
| Spectral Shape Recovery and Analysis Via Data-driven Connections, file e383532c-c957-15e8-e053-a505fe0a3de9 | 2 |
| FARM: Functional Automatic Registration Method for 3D Human Bodies, file e3835325-5538-15e8-e053-a505fe0a3de9 | 1 |
| Totale | 513 |
| Categoria | # |
|---|---|
| all - tutte | 722 |
| 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 | 722 |
| Totale | Lug | Ago | Sett | Ott | Nov | Dic | Gen | Feb | Mar | Apr | Mag | Giu | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019/2020 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| 2020/2021 | 57 | 0 | 1 | 3 | 12 | 1 | 0 | 3 | 4 | 11 | 6 | 13 | 3 |
| 2021/2022 | 333 | 208 | 19 | 9 | 12 | 8 | 3 | 15 | 11 | 8 | 5 | 19 | 16 |
| 2022/2023 | 59 | 10 | 5 | 10 | 13 | 5 | 2 | 3 | 1 | 1 | 1 | 3 | 5 |
| 2023/2024 | 63 | 3 | 4 | 3 | 8 | 4 | 1 | 4 | 4 | 1 | 27 | 3 | 1 |
| Totale | 513 | ||||||||||||