TLDRai.com Too Long; Didn't Read AI TLDWai.com Too Long; Didn't Watch AI
Napravite neograničene sažetke s AI!
Nadogradi na pro US$ 7.0/m
Nema ograničenih funkcija

None

In this bibliometric analysis, 238 papers related to IoT, Fog computing, and smart cities were analyzed using VOSviewer software. The results show:1. Increasing publication trend over the past few years.2. Relatively even citation distribution among papers.3. High connectivity among authors in the co-authorship network.4. Keywords and themes include IoT, Fog computing, smart cities, data analytics, AI, and cybersecurity.5. Institutions represented include universities, research institutes, and companies, with top performers based in US, China, and Europe.6. High citation impact of papers in the field.7. Identification of hotspots and clusters in the co-authorship network, including institutions such as MIT, Stanford, and Berkeley, as well as industry leaders like Google, IBM, and Microsoft.8. Centrality of authors and institutions in the co-authorship network can identify key players and networks.9. Collaboration patterns among authors and institutions, indicating a collaborative approach to research in some papers and a more individualized approach in others.10. Future research directions include integration of IoT and Fog computing, development of smart city frameworks, and application of AI and machine learning to IoT and smart cities research.Overall, the analysis provides insights into the growing trend, interconnectedness of keywords and themes, key players, and future research directions in the fields of IoT, Fog computing, and smart cities.
PRO korisnici dobivaju sažetke više kvalitete
Nadogradi na pro US$ 7.0/m
Nema ograničenih funkcija
None
Sažeti tekst Sažeti tekst iz datoteke Sažeti tekst s web stranice

Dobijte kvalitetnije rezultate s više značajki

Postanite PRO


Povezani sažeci