LUCIANI, Chiara
Distribuzione geografica
| Continente | # |
|---|---|
| EU - Europa | 81 |
| NA - Nord America | 79 |
| AS - Asia | 42 |
| SA - Sud America | 8 |
| AF - Africa | 7 |
| OC - Oceania | 2 |
| Totale | 219 |
| Nazione | # |
|---|---|
| US - Stati Uniti d'America | 75 |
| IT - Italia | 44 |
| FR - Francia | 14 |
| CN - Cina | 9 |
| IN - India | 8 |
| DE - Germania | 7 |
| PH - Filippine | 6 |
| TR - Turchia | 5 |
| UA - Ucraina | 5 |
| BD - Bangladesh | 4 |
| BR - Brasile | 4 |
| NL - Olanda | 4 |
| CA - Canada | 3 |
| EC - Ecuador | 3 |
| AU - Australia | 2 |
| CZ - Repubblica Ceca | 2 |
| GR - Grecia | 2 |
| KE - Kenya | 2 |
| KR - Corea | 2 |
| MA - Marocco | 2 |
| PT - Portogallo | 2 |
| VN - Vietnam | 2 |
| AE - Emirati Arabi Uniti | 1 |
| BH - Bahrain | 1 |
| ET - Etiopia | 1 |
| FI - Finlandia | 1 |
| HK - Hong Kong | 1 |
| JM - Giamaica | 1 |
| JP - Giappone | 1 |
| MO - Macao, regione amministrativa speciale della Cina | 1 |
| PE - Perù | 1 |
| TH - Thailandia | 1 |
| TN - Tunisia | 1 |
| ZA - Sudafrica | 1 |
| Totale | 219 |
| Città | # |
|---|---|
| Ashburn | 19 |
| Santa Cruz | 8 |
| Ferrara | 6 |
| Boardman | 5 |
| Buffalo | 3 |
| Columbus | 3 |
| Florence | 3 |
| Istanbul | 3 |
| Kyiv | 3 |
| Turin | 3 |
| Adapazarı | 2 |
| Bacoor | 2 |
| Bologna | 2 |
| Carmona | 2 |
| Des Moines | 2 |
| Frankfurt am Main | 2 |
| Gambassi Terme | 2 |
| Guayaquil | 2 |
| Henderson | 2 |
| Los Angeles | 2 |
| Maringá | 2 |
| Nairobi | 2 |
| Nuremberg | 2 |
| Oegstgeest | 2 |
| Oujda | 2 |
| Padova | 2 |
| Palermo | 2 |
| Pentone | 2 |
| Québec | 2 |
| San Diego | 2 |
| Seattle | 2 |
| Shenzhen | 2 |
| Surat | 2 |
| The Dalles | 2 |
| Vallefoglia | 2 |
| Amsterdam | 1 |
| Auburn | 1 |
| Ban Khung Thong (1) | 1 |
| Beijing | 1 |
| Bolzano | 1 |
| Breda | 1 |
| Bremen | 1 |
| Cagliari | 1 |
| Castel Maggiore | 1 |
| Cedar Knolls | 1 |
| Cesena | 1 |
| Chandigarh | 1 |
| Chennai | 1 |
| Coimbatore | 1 |
| Davao City | 1 |
| El Segundo | 1 |
| Elk Grove Village | 1 |
| Fiorano Modenese | 1 |
| Fortaleza | 1 |
| Gatteo | 1 |
| Grenoble | 1 |
| Gunzenhausen | 1 |
| Hangzhou | 1 |
| Hanoi | 1 |
| Helsinki | 1 |
| Ho Chi Minh City | 1 |
| Hyderabad | 1 |
| Johannesburg | 1 |
| Kingston | 1 |
| Las Pinas | 1 |
| Lima | 1 |
| Macao | 1 |
| Manama | 1 |
| Marano di Napoli | 1 |
| Naples | 1 |
| New Orleans | 1 |
| Paris | 1 |
| Peccioli | 1 |
| Pisa | 1 |
| Pune | 1 |
| Reggio Emilia | 1 |
| Reston | 1 |
| Riobamba | 1 |
| Rolling Meadows | 1 |
| San Fili | 1 |
| Sha Tin Wai | 1 |
| Shanghai | 1 |
| Sinopoli | 1 |
| Soliera | 1 |
| Sydney | 1 |
| Tokyo | 1 |
| Toronto | 1 |
| Usmate Velate | 1 |
| Vadodara | 1 |
| Viterbo | 1 |
| Washington | 1 |
| Wilmington | 1 |
| Totale | 163 |
| Nome | # |
|---|---|
| Using water consumption smart metering for water loss assessment in a DMA: a case study, file e309ade3-6d47-3969-e053-3a05fe0a2c94 | 127 |
| Green Smart Technology for Water (GST4Water): Water loss identification at user level by using smart metering systems, file e309ade4-e60c-3969-e053-3a05fe0a2c94 | 43 |
| Effects of the COVID-19 Lockdown on Water Consumptions: Northern Italy Case Study, file e309ade5-2833-3969-e053-3a05fe0a2c94 | 25 |
| Neural Network Techniques for Detecting Intra-Domestic Water Leaks of Different Magnitude, file e309ade4-ee15-3969-e053-3a05fe0a2c94 | 9 |
| Application of Water Consumption Smart Metering for Water Loss Assessment: A Case Study, file e309ade5-0079-3969-e053-3a05fe0a2c94 | 9 |
| Using water consumption smart metering for water loss assessment in a DMA: a case study, file e309ade2-4dd5-3969-e053-3a05fe0a2c94 | 3 |
| Dallo Smart Metering dei consumi idrici all'identificazione delle perdite a livello di utenza, file e309ade5-603f-3969-e053-3a05fe0a2c94 | 3 |
| Totale | 219 |
| Categoria | # |
|---|---|
| all - tutte | 1.110 |
| 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 | 1.110 |
| Totale | Lug | Ago | Sett | Ott | Nov | Dic | Gen | Feb | Mar | Apr | Mag | Giu | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020/2021 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 0 | 0 | 0 | 0 |
| 2021/2022 | 36 | 2 | 2 | 1 | 1 | 3 | 0 | 3 | 5 | 4 | 5 | 8 | 2 |
| 2022/2023 | 77 | 6 | 8 | 10 | 8 | 4 | 3 | 5 | 8 | 4 | 6 | 10 | 5 |
| 2023/2024 | 103 | 4 | 6 | 13 | 9 | 11 | 13 | 3 | 10 | 11 | 10 | 13 | 0 |
| Totale | 219 | ||||||||||||