NARDINI, GIOVANNI
 Distribuzione geografica
Continente #
EU - Europa 2.402
NA - Nord America 2.304
AS - Asia 1.212
AF - Africa 354
SA - Sud America 116
OC - Oceania 32
Continente sconosciuto - Info sul continente non disponibili 9
Totale 6.429
Nazione #
US - Stati Uniti d'America 2.110
IT - Italia 758
DE - Germania 347
FR - Francia 273
HU - Ungheria 257
IN - India 194
CN - Cina 172
CA - Canada 124
GB - Regno Unito 119
ES - Italia 91
VN - Vietnam 88
TN - Tunisia 83
DZ - Algeria 81
JP - Giappone 76
PT - Portogallo 76
IR - Iran 70
HK - Hong Kong 64
IQ - Iraq 64
TW - Taiwan 64
MX - Messico 62
FI - Finlandia 60
MY - Malesia 59
PL - Polonia 57
NL - Olanda 53
TR - Turchia 53
BR - Brasile 52
SG - Singapore 51
AT - Austria 50
SE - Svezia 47
KR - Corea 45
GR - Grecia 43
ET - Etiopia 34
PK - Pakistan 34
SA - Arabia Saudita 34
AU - Australia 32
EC - Ecuador 31
UA - Ucraina 30
MA - Marocco 29
RU - Federazione Russa 29
EG - Egitto 22
ZA - Sudafrica 21
YE - Yemen 20
PS - Palestinian Territory 19
RO - Romania 19
IE - Irlanda 18
CZ - Repubblica Ceca 16
CL - Cile 14
MG - Madagascar 14
ID - Indonesia 13
SY - Repubblica araba siriana 13
CD - Congo 12
CY - Cipro 12
AE - Emirati Arabi Uniti 11
BD - Bangladesh 10
CH - Svizzera 8
EU - Europa 8
IL - Israele 8
KE - Kenya 8
NO - Norvegia 8
PE - Perù 8
AL - Albania 7
BG - Bulgaria 7
GH - Ghana 7
JO - Giordania 7
NG - Nigeria 7
CO - Colombia 6
HR - Croazia 6
TD - Ciad 6
BE - Belgio 5
DK - Danimarca 5
NE - Niger 5
BF - Burkina Faso 4
CI - Costa d'Avorio 4
LB - Libano 4
MN - Mongolia 4
SN - Senegal 4
TH - Thailandia 4
EE - Estonia 3
LU - Lussemburgo 3
ML - Mali 3
MU - Mauritius 3
NP - Nepal 3
OM - Oman 3
SK - Slovacchia (Repubblica Slovacca) 3
AR - Argentina 2
AZ - Azerbaigian 2
CR - Costa Rica 2
DO - Repubblica Dominicana 2
KW - Kuwait 2
KZ - Kazakistan 2
LY - Libia 2
MK - Macedonia 2
MO - Macao, regione amministrativa speciale della Cina 2
PH - Filippine 2
UG - Uganda 2
UY - Uruguay 2
A1 - Anonimo 1
BH - Bahrain 1
BO - Bolivia 1
BZ - Belize 1
Totale 6.419
Città #
Ashburn 393
Budapest 203
Houston 143
Serra 90
Columbus 88
Fairfield 88
Ann Arbor 82
Seattle 75
Santa Cruz 66
Buffalo 52
Los Angeles 52
San Jose 52
Woodbridge 52
Dallas 51
Ottawa 49
Cambridge 45
Helsinki 44
Rome 41
Bengaluru 40
Pisa 40
Boardman 39
Dong Ket 39
Centre Hall 38
Wilmington 38
Milan 34
Vienna 34
Modena 33
Madrid 32
Munich 32
Beijing 31
Florence 29
Las Vegas 27
Chicago 26
Skierniewice 26
Taipei 26
Zacatecas City 26
Paris 25
Singapore 24
Stuttgart 24
Turin 23
Bourg-la-Reine 22
Amsterdam 20
Cuenca 20
New York 20
Central 19
Guadalupe Trujillo 18
Tacoma 18
Tokyo 18
Bologna 17
Cairo 17
Rende 17
Teramo 17
Coimbra 16
Dublin 16
Hangzhou 16
Hanoi 16
Athens 15
Nuremberg 15
Paderborn 15
Sanxia District 15
Erbil 14
Toronto 14
Tunis 14
Warsaw 14
Mountain View 13
Nabeul 13
Wuhan 13
Ancona 12
Baghdad 12
Chiavari 12
Porto 12
San Diego 12
Shanghai 12
Tehran 12
Istanbul 11
Kuala Lumpur 11
London 11
Phoenix 11
Redmond 11
Dresden 10
Guangzhou 10
Haimen 10
Hyderabad 10
Kaiserslautern 10
Muizenberg 10
Ondara 10
Pune 10
Ramallah 10
Reggio Emilia 10
Riyadh 10
St. Catharines 10
Stockholm 10
University Park 10
Érd 10
Ankara 9
Dammam 9
Delhi 9
Dhaka 9
Las Rozas de Madrid 9
Lisbon 9
Totale 3.137
Nome #
Simu5G: a system-level simulator for 5G networks, file e0d6c92e-f780-fcf8-e053-d805fe0aa794 1.199
A Deep Reinforcement Learning Approach for Data Migration in Multi-access Edge Computing, file e0d6c92c-6db4-fcf8-e053-d805fe0aa794 1.049
Scalable Real-time Emulation of 5G Networks with Simu5G, file e0d6c931-8f7b-fcf8-e053-d805fe0aa794 696
Modeling unicast device-to-device communications with SimuLTE, file e0d6c927-879c-fcf8-e053-d805fe0aa794 570
Using Deep Reinforcement Learning for Application Relocation in Multi-access Edge Computing, file e0d6c92d-7cdb-fcf8-e053-d805fe0aa794 380
Modeling X2 backhauling for LTE-Advanced and assessing its effect on CoMP Coordinated Scheduling, file e0d6c927-84b6-fcf8-e053-d805fe0aa794 211
Minimizing power consumption in virtualized cellular networks, file e0d6c92a-5341-fcf8-e053-d805fe0aa794 172
Geofenced broadcasts via centralized scheduling of device-to-device communications in LTE-Advanced, file e0d6c92c-cd15-fcf8-e053-d805fe0aa794 165
Broadcasting in LTE-Advanced networks using multihop D2D communications, file e0d6c927-84bb-fcf8-e053-d805fe0aa794 162
Towards Trustworthy AI for QoE prediction in B5G/6G Networks, file e0d6c932-450c-fcf8-e053-d805fe0aa794 145
Cellular-V2X Communications for Platooning: Design and Evaluation, file e0d6c92a-dff3-fcf8-e053-d805fe0aa794 143
Modeling network-controlled device-to-device communications in SimuLTE, file e0d6c92b-54e2-fcf8-e053-d805fe0aa794 135
SimuLTE-MEC: extending SimuLTE for Multiaccess Edge Computing, file e0d6c92b-3fcc-fcf8-e053-d805fe0aa794 129
Simulating Cellular Communications in Vehicular Networks: Making SimuLTE Interoperable with Veins, file e0d6c929-e22a-fcf8-e053-d805fe0aa794 118
A fast and reliable broadcast service for LTE-advanced exploiting multihop device-to-device transmissions, file e0d6c92a-9b98-fcf8-e053-d805fe0aa794 107
Simulating LTE/LTE-Advanced Networks with SimuLTE, file e0d6c931-d825-fcf8-e053-d805fe0aa794 101
D2D Communications for Large-Scale Fog Platforms: Enabling Direct M2M Interactions, file e0d6c92c-6cfc-fcf8-e053-d805fe0aa794 91
Simu5G – An OMNeT++ library for end-to-end performance evaluation of 5G networks, file e0d6c92f-437b-fcf8-e053-d805fe0aa794 80
Simulating device-to-device communications in OMNeT++ with SimuLTE: scenarios and configurations, file e0d6c927-f9d1-fcf8-e053-d805fe0aa794 74
Effective dynamic coordinated scheduling in LTE-Advanced networks, file e0d6c92c-ceef-fcf8-e053-d805fe0aa794 73
A co-simulation framework to evaluate edge deployment options and performance, file e0d6c92f-0222-fcf8-e053-d805fe0aa794 72
Deployment and configuration of MEC apps with Simu5G, file e0d6c931-7581-fcf8-e053-d805fe0aa794 71
A Framework for MEC-enabled Platooning, file e0d6c932-11e8-fcf8-e053-d805fe0aa794 64
Practical large-scale coordinated scheduling in LTE-Advanced networks, file e0d6c92c-809a-fcf8-e053-d805fe0aa794 59
Coordinated scheduling in a Virtual-RAN prototype with OpenAirInterface, file e0d6c927-8796-fcf8-e053-d805fe0aa794 56
Resource allocation for network-controlled device-to-device communications in LTE-Advanced, file e0d6c92c-75fc-fcf8-e053-d805fe0aa794 55
Practical feasibility, scalability and effectiveness of coordinated scheduling algorithms in cellular networks towards 5G, file e0d6c92c-aecf-fcf8-e053-d805fe0aa794 50
Flexible dynamic Coordinated Scheduling in Virtual-RAN deployments, file e0d6c92c-8062-fcf8-e053-d805fe0aa794 37
Improving network performance via optimization-based centralized coordination of LTE-A cells, file e0d6c92c-7340-fcf8-e053-d805fe0aa794 29
A testbed for flexible and energy-efficient resource management with virtualized LTE-A nodes, file e0d6c92c-7f08-fcf8-e053-d805fe0aa794 27
Fast and agile lossless mode switching for D2D communications in LTE-Advanced networks, file e0d6c92c-7b90-fcf8-e053-d805fe0aa794 26
Performance evaluation of TCP-based traffic over direct communications in LTE-Advanced, file e0d6c92c-7d3f-fcf8-e053-d805fe0aa794 24
Scalability and energy efficiency of Coordinated Scheduling in cellular networks towards 5G, file e0d6c92c-c384-fcf8-e053-d805fe0aa794 23
End-to-end performance evaluation of MEC deployments in 5G scenarios, file e0d6c92f-a0a3-fcf8-e053-d805fe0aa794 20
METHOD AND SYSTEM FOR DATA TUNNELING IN DEVICE TO DEVICE COMMUNICATION ASSISTED BY A TELECOMMUNICATION NETWORK, file e0d6c92a-d195-fcf8-e053-d805fe0aa794 19
Automating Large-Scale Simulation and Data Analysis with OMNeT++: Lession Learned and Future Perspectives, file e0d6c927-f69a-fcf8-e053-d805fe0aa794 15
On Improving SimBlock Blockchain Simulator, file e0d6c931-9da4-fcf8-e053-d805fe0aa794 12
A low-latency and reliable multihop D2D transmissions scheduling algorithm for guaranteed message dissemination, file e0d6c931-ad07-fcf8-e053-d805fe0aa794 11
D2D Communications for Large-Scale Fog Platforms: Enabling Direct M2M Interactions, file e0d6c92a-8aae-fcf8-e053-d805fe0aa794 10
Method for scheduling radio resources, file e0d6c92c-c4d3-fcf8-e053-d805fe0aa794 7
Method for scheduling radio resources, file e0d6c92c-7177-fcf8-e053-d805fe0aa794 6
Resource allocation system and method adapted to implement device-to-device communications in wireless communication networks, file e0d6c92c-716e-fcf8-e053-d805fe0aa794 5
Resource allocation for network-controlled device-to-device communications in LTE-Advanced, file e0d6c92c-c397-fcf8-e053-d805fe0aa794 5
Practical large-scale coordinated scheduling in LTE-Advanced networks, file e0d6c92c-ce8f-fcf8-e053-d805fe0aa794 5
Method for scheduling radio resources, file e0d6c92f-c5fa-fcf8-e053-d805fe0aa794 5
Simulating LTE/LTE-Advanced Networks with SimuLTE, file e0d6c926-d3db-fcf8-e053-d805fe0aa794 4
A testbed for flexible and energy-efficient resource management with virtualized LTE-A nodes, file e0d6c92c-7159-fcf8-e053-d805fe0aa794 4
Practical feasibility, scalability and effectiveness of coordinated scheduling algorithms in cellular networks towards 5G, file e0d6c92c-822b-fcf8-e053-d805fe0aa794 4
Resource allocation system and method adapted to implement device-to-device communications in wireless communication networks, file e0d6c92d-5945-fcf8-e053-d805fe0aa794 4
Resource allocation system and method adapted to implement device-to-device communications in wireless communication networks, file e0d6c92f-bebd-fcf8-e053-d805fe0aa794 4
Bi-dimensional Assignment in 5G Periodic Scheduling, file f230d546-62c0-48c3-af34-70304aaf641f 4
Trustworthy AI for Next Generation Networks: the Fed-XAI innovative paradigm from the Hexa-X EU Flagship Project, file 28e7181d-b7f0-4f79-961c-bcedf84744d8 3
Performance evaluation of TCP-based traffic over direct communications in LTE-Advanced, file e0d6c927-8725-fcf8-e053-d805fe0aa794 3
Scalability and energy efficiency of Coordinated Scheduling in cellular networks towards 5G, file e0d6c929-5e61-fcf8-e053-d805fe0aa794 3
Flexible dynamic Coordinated Scheduling in Virtual-RAN deployments, file e0d6c92c-7163-fcf8-e053-d805fe0aa794 3
A scalable data-plane architecture for one-to-one device-to-device communications in LTE-Advanced, file e0d6c92c-822d-fcf8-e053-d805fe0aa794 3
A Deep Reinforcement Learning Approach for Data Migration in Multi-access Edge Computing, file e0d6c92c-c0c7-fcf8-e053-d805fe0aa794 3
null, file e0d6c92f-3244-fcf8-e053-d805fe0aa794 3
null, file e0d6c931-f8ac-fcf8-e053-d805fe0aa794 3
Using network simulators as digital twins of 5G/B5G mobile networks, file 81b47185-ba4d-4267-aa3e-6fd29fc02d4e 2
Rapid prototyping and performance evaluation of ETSI MEC-based applications, file 869cc271-d9f7-477f-aaf2-49eb41c604df 2
Enabling federated learning of explainable AI models within beyond-5G/6G networks, file c4e19310-5ead-4e10-a275-9db7601e1451 2
Improving network performance via optimization-based centralized coordination of LTE-A cells, file e0d6c926-4660-fcf8-e053-d805fe0aa794 2
Fast and agile lossless mode switching for D2D communications in LTE-Advanced networks, file e0d6c927-8f15-fcf8-e053-d805fe0aa794 2
Minimizing power consumption in virtualized cellular networks, file e0d6c92c-6f7f-fcf8-e053-d805fe0aa794 2
Cellular-Networks Simulation Using SimuLTE, file e0d6c92d-7e6e-fcf8-e053-d805fe0aa794 2
A Framework for MEC-enabled Platooning, file e0d6c92d-fd36-fcf8-e053-d805fe0aa794 2
Using Deep Reinforcement Learning for Application Relocation in Multi-access Edge Computing, file e0d6c92e-2c99-fcf8-e053-d805fe0aa794 2
Resource allocation system and method adapted to implement device-to-device communications in wireless communication networks, file e0d6c92f-e5b8-fcf8-e053-d805fe0aa794 2
A co-simulation framework to evaluate edge deployment options and performance, file e0d6c930-d3e0-fcf8-e053-d805fe0aa794 2
A low-latency and reliable multihop D2D transmissions scheduling algorithm for guaranteed message dissemination, file e0d6c931-933b-fcf8-e053-d805fe0aa794 2
Enabling simulation services for digital twins of 5G/B5G mobile networks, file 5ff0a0cc-d991-43b5-b89c-ae2fddf92dfa 1
The power of data: how traffic demand and data analytics are driving network evolution toward 6G systems, file 633e4631-9342-4337-b599-fc961b277b92 1
Exploiting Simu5G for Generating Datasets for Training and Testing AI Models for 5G/6G Network Applications, file a44c2797-568a-4818-a58e-075ae0996836 1
SimuLTE: A Modular System-level Simulator for LTE/LTE-A Networks based on OMNeT++, file e0d6c926-40a6-fcf8-e053-d805fe0aa794 1
Effective dynamic coordinated scheduling in LTE-Advanced networks, file e0d6c926-4300-fcf8-e053-d805fe0aa794 1
Poster: A simulation-based testbed for vehicular collision detection, file e0d6c92a-5143-fcf8-e053-d805fe0aa794 1
Broadcasting in LTE-Advanced networks using multihop D2D communications, file e0d6c92c-74ea-fcf8-e053-d805fe0aa794 1
Modeling X2 backhauling for LTE-Advanced and assessing its effect on CoMP Coordinated Scheduling, file e0d6c92c-b129-fcf8-e053-d805fe0aa794 1
Modeling unicast device-to-device communications with SimuLTE, file e0d6c92c-ca1c-fcf8-e053-d805fe0aa794 1
Simulating LTE-Enabled Vehicular Communications, file e0d6c92d-62f5-fcf8-e053-d805fe0aa794 1
Messages Broadcasting Exploiting Device to Device Transmission, file e0d6c92f-c98f-fcf8-e053-d805fe0aa794 1
Resource allocation system and method adapted to implement device-to-device communications in wireless communication networks, file e0d6c92f-e5b7-fcf8-e053-d805fe0aa794 1
A Rational Mining Strategy for Proof-of-Work Consensus Algorithms, file e78b43e0-6d51-4164-a80e-19f16dea1b98 1
Totale 6.598
Categoria #
all - tutte 12.624
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 12.624


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2018/201911 0 0 0 0 0 0 0 0 0 0 0 11
2019/2020395 9 10 22 55 37 29 24 49 35 63 32 30
2020/2021572 23 44 32 41 26 33 31 71 66 64 62 79
2021/20221.090 77 56 72 132 99 73 59 60 104 78 167 113
2022/20231.851 123 123 141 180 161 138 177 173 167 127 215 126
2023/20242.472 125 126 121 123 280 210 406 162 105 347 365 102
Totale 6.598