SANTILANO, ALESSANDRO
Distribuzione geografica
Continente | # |
---|---|
AS - Asia | 236 |
EU - Europa | 226 |
NA - Nord America | 90 |
AF - Africa | 24 |
SA - Sud America | 8 |
Continente sconosciuto - Info sul continente non disponibili | 3 |
OC - Oceania | 2 |
Totale | 589 |
Nazione | # |
---|---|
CN - Cina | 161 |
IT - Italia | 109 |
US - Stati Uniti d'America | 74 |
CZ - Repubblica Ceca | 35 |
ID - Indonesia | 23 |
IR - Iran | 18 |
GB - Regno Unito | 15 |
RU - Federazione Russa | 15 |
FR - Francia | 12 |
KE - Kenya | 11 |
IN - India | 10 |
JP - Giappone | 8 |
MX - Messico | 8 |
NL - Olanda | 7 |
TR - Turchia | 7 |
DE - Germania | 6 |
GR - Grecia | 6 |
NG - Nigeria | 6 |
CA - Canada | 5 |
EG - Egitto | 5 |
IE - Irlanda | 4 |
RO - Romania | 4 |
UA - Ucraina | 4 |
PE - Perù | 3 |
AU - Australia | 2 |
CL - Cile | 2 |
CO - Colombia | 2 |
DZ - Algeria | 2 |
EU - Europa | 2 |
HR - Croazia | 2 |
HU - Ungheria | 2 |
MY - Malesia | 2 |
PA - Panama | 2 |
PL - Polonia | 2 |
A1 - Anonimo | 1 |
AT - Austria | 1 |
BD - Bangladesh | 1 |
BR - Brasile | 1 |
ES - Italia | 1 |
HK - Hong Kong | 1 |
KH - Cambogia | 1 |
KR - Corea | 1 |
NO - Norvegia | 1 |
NP - Nepal | 1 |
SV - El Salvador | 1 |
TW - Taiwan | 1 |
VN - Vietnam | 1 |
Totale | 589 |
Città | # |
---|---|
Jinan | 86 |
Nanjing | 26 |
Jakarta | 19 |
Changsha | 13 |
Torino | 12 |
Rome | 7 |
Encino | 5 |
London | 5 |
Turin | 5 |
Dublin | 4 |
Milan | 4 |
Pisa | 4 |
Southend | 4 |
Woodbridge | 4 |
Arvada | 3 |
Fleming Island | 3 |
Houston | 3 |
Katsina | 3 |
Mexico | 3 |
Norwalk | 3 |
Pioltello | 3 |
Ranchi | 3 |
Seattle | 3 |
Tabriz | 3 |
University Park | 3 |
Veracruz | 3 |
Algiers | 2 |
Ann Arbor | 2 |
Bari | 2 |
Beijing | 2 |
Bogotá | 2 |
Cairo | 2 |
Cambridge | 2 |
Changchun | 2 |
Fairfield | 2 |
Florence | 2 |
Herndon | 2 |
Istanbul | 2 |
Kuala Lumpur | 2 |
Kundan | 2 |
Leopoldshafen | 2 |
Lima | 2 |
Miskolc | 2 |
Naples | 2 |
Patras | 2 |
Rosignano Solvay | 2 |
San Donato Milanese | 2 |
Santa Cruz | 2 |
Stevenage | 2 |
Tokyo | 2 |
Toronto | 2 |
Altamura | 1 |
Ankara | 1 |
Antea | 1 |
Armeno | 1 |
Berlin | 1 |
Boardman | 1 |
Bochum | 1 |
Boulder | 1 |
Bucharest | 1 |
Buffalo | 1 |
Castelnovo | 1 |
Cavallermaggiore | 1 |
Chongqing | 1 |
Cisterna di Latina | 1 |
Costa Mesa | 1 |
Culloden | 1 |
Duncan | 1 |
Edgewood | 1 |
Faggiano | 1 |
Falls Church | 1 |
Fuxin | 1 |
Genova | 1 |
Graz | 1 |
Hanoi | 1 |
Hebei | 1 |
Kansas City | 1 |
Kashan | 1 |
Katowice | 1 |
Kiel | 1 |
Kish | 1 |
Lake Forest | 1 |
Lyon | 1 |
Milpitas | 1 |
Monterrey | 1 |
Mountain View | 1 |
Mumbai | 1 |
Nairobi | 1 |
Nanchang | 1 |
Napoli | 1 |
New Delhi | 1 |
Nocera Inferiore | 1 |
Northfield | 1 |
Ottawa | 1 |
Palo Alto | 1 |
Perth | 1 |
Phnom Penh | 1 |
Rende | 1 |
Saint Petersburg | 1 |
San Mateo | 1 |
Totale | 333 |
Nome | # |
---|---|
Deep geothermal exploration by means of electromagnetic methods: New insights from the Larderello geothermal field (Italy), file e384c42f-8049-d4b2-e053-9f05fe0a1d67 | 509 |
Joint optimization of geophysical data using multi-objective swarm intelligence, file e384c431-0565-d4b2-e053-9f05fe0a1d67 | 76 |
Particle Swarm Optimization of 2D Magnetotelluric data, file e384c430-9898-d4b2-e053-9f05fe0a1d67 | 10 |
A Review of Geophysical Modeling Based on Particle Swarm Optimization, file e384c433-501d-d4b2-e053-9f05fe0a1d67 | 9 |
STOCHASTIC INVERSE MODELING OF MAGNETOTELLURIC DATA FROM THE LARDERELLO-TRAVALE GEOTHERMAL AREA (ITALY), file e384c430-e5df-d4b2-e053-9f05fe0a1d67 | 1 |
Particle swarm optimization for simultaneous analysis of Magnetotelluric (MT) and Time Domain EM (TDEM) data, file e384c433-6bc1-d4b2-e053-9f05fe0a1d67 | 1 |
Totale | 606 |
Categoria | # |
---|---|
all - tutte | 1.003 |
article - articoli | 268 |
book - libri | 0 |
conference - conferenze | 3 |
curatela - curatele | 0 |
other - altro | 0 |
patent - brevetti | 0 |
selected - selezionate | 0 |
volume - volumi | 0 |
Totale | 1.274 |
Totale | Lug | Ago | Sett | Ott | Nov | Dic | Gen | Feb | Mar | Apr | Mag | Giu | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2018/2019 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
2019/2020 | 77 | 0 | 2 | 13 | 3 | 4 | 7 | 2 | 5 | 14 | 2 | 21 | 4 |
2020/2021 | 291 | 12 | 16 | 12 | 20 | 11 | 7 | 11 | 156 | 7 | 26 | 7 | 6 |
2021/2022 | 139 | 9 | 6 | 5 | 3 | 7 | 9 | 20 | 16 | 8 | 10 | 20 | 26 |
2022/2023 | 66 | 13 | 10 | 7 | 4 | 2 | 8 | 6 | 8 | 3 | 2 | 3 | 0 |
2023/2024 | 26 | 0 | 0 | 0 | 4 | 5 | 3 | 4 | 7 | 3 | 0 | 0 | 0 |
Totale | 606 |