What is he best known for?
The fields of study he is best known for:
- Statistics
- The Internet
- Artificial intelligence
Alessandro Vespignani spends much of his time researching Complex network, Statistical physics, Outbreak, Complex system and Scale-free network.
The various areas that he examines in his Complex network study include Distributed computing, Theoretical computer science and The Internet.
The concepts of his The Internet study are interwoven with issues in Computer network, Data science and Computer virus.
His biological study spans a wide range of topics, including Phase transition and Degree distribution.
His Outbreak research integrates issues from Epidemiology, Demography, China and Pandemic, Coronavirus disease 2019.
His Scale-free network research includes elements of Epidemic dynamics and Complex contagion.
His most cited work include:
- Epidemic Spreading in Scale-Free Networks (4279 citations)
- The architecture of complex weighted networks (2732 citations)
- Epidemic processes in complex networks (1897 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Statistical physics, Complex network, The Internet, Outbreak and Theoretical computer science.
His studies deal with areas such as Phase transition, Critical exponent, Scaling and Renormalization group as well as Statistical physics.
He has included themes like Complex system and Network dynamics in his Complex network study.
His The Internet research includes themes of Structure and Data science.
His research investigates the link between Data science and topics such as Social media that cross with problems in Big data.
His work carried out in the field of Outbreak brings together such families of science as Demography, Pandemic, Coronavirus disease 2019 and China.
He most often published in these fields:
- Statistical physics (25.19%)
- Complex network (15.56%)
- The Internet (17.22%)
What were the highlights of his more recent work (between 2018-2021)?
- Coronavirus disease 2019 (11.11%)
- Severe acute respiratory syndrome coronavirus 2 (9.81%)
- Outbreak (17.41%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Coronavirus disease 2019, Severe acute respiratory syndrome coronavirus 2, Outbreak, Demography and Pandemic.
His Coronavirus disease 2019 study incorporates themes from Phase, Artificial intelligence, China, Machine learning and 2019-20 coronavirus outbreak.
His Machine learning study integrates concerns from other disciplines, such as The Internet and News media.
His 2019-20 coronavirus outbreak research incorporates themes from Data science and Environmental health.
His work is dedicated to discovering how Outbreak, Mainland China are connected with Quarantine and other disciplines.
Alessandro Vespignani combines subjects such as Epidemic model, Social vulnerability and Socioeconomics with his study of Pandemic.
Between 2018 and 2021, his most popular works were:
- The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak. (1382 citations)
- The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak. (1382 citations)
- The effect of human mobility and control measures on the COVID-19 epidemic in China. (981 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- The Internet
- Artificial intelligence
Alessandro Vespignani mainly investigates Outbreak, Demography, Coronavirus disease 2019, Severe acute respiratory syndrome coronavirus 2 and Pandemic.
His Outbreak research is multidisciplinary, relying on both Mainland China, China and Disease.
Socioeconomics is closely connected to Quarantine in his research, which is encompassed under the umbrella topic of Mainland China.
His China study combines topics in areas such as Control, Artificial intelligence, Machine learning and The Internet.
His research in Demography intersects with topics in Serial interval, Social distance, Epidemiology and Contact tracing.
His research integrates issues of Environmental health and 2019-20 coronavirus outbreak in his study of Coronavirus disease 2019.
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