What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Computer network
His main research concerns Complex network, Weighted network, Theoretical computer science, Telecommunications network and Hierarchical network model.
His study in Complex network is interdisciplinary in nature, drawing from both Discrete mathematics, Community structure, Complex system, Algorithm and Clustering coefficient.
His research integrates issues of Universality, Mathematical economics and Econometrics in his study of Weighted network.
His work deals with themes such as Assortativity and Cluster analysis, which intersect with Theoretical computer science.
His Telecommunications network study deals with Network topology intersecting with Relation, Structure, Network theory and Enhanced Data Rates for GSM Evolution.
Dynamic network analysis, Topology, Preferential attachment and Scale-free network is closely connected to Evolving networks in his research, which is encompassed under the umbrella topic of Hierarchical network model.
His most cited work include:
- Structure and tie strengths in mobile communication networks (1505 citations)
- Temporal Networks (1271 citations)
- Intensity and coherence of motifs in weighted complex networks (668 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Complex network, Theoretical computer science, Artificial intelligence, Mobile phone and Statistical physics.
In general Complex network, his work in Weighted network is often linked to Limit linking many areas of study.
Jari Saramäki has included themes like Cluster analysis, Structure, Assortativity, Focus and Random walk in his Theoretical computer science study.
His studies deal with areas such as Machine learning, Centrality and Pattern recognition as well as Artificial intelligence.
The study incorporates disciplines such as Interpersonal ties, Interpersonal relationship, Mobile telephone and Circadian rhythm in addition to Mobile phone.
His work on Voter model as part of general Statistical physics study is frequently connected to Continuum percolation theory, Metastability and Directed percolation, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
He most often published in these fields:
- Complex network (21.79%)
- Theoretical computer science (10.61%)
- Artificial intelligence (10.06%)
What were the highlights of his more recent work (between 2018-2021)?
- Genetics (2.79%)
- T-cell receptor (2.79%)
- Mobile phone (9.50%)
In recent papers he was focusing on the following fields of study:
Jari Saramäki mostly deals with Genetics, T-cell receptor, Mobile phone, Complex network and Locus.
His work on Tcr repertoire as part of general T-cell receptor study is frequently linked to Repertoire, bridging the gap between disciplines.
His Mobile phone study incorporates themes from Chronotype, Cognitive psychology, Public health and Chronobiology.
His Public health research is multidisciplinary, incorporating perspectives in Cellular network and Service.
His work in Complex network is not limited to one particular discipline; it also encompasses Database transaction.
He has researched Locus in several fields, including Epistasis, Organism, Phenotype, Reproductive isolation and Peptide sequence.
Between 2018 and 2021, his most popular works were:
- Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle. (172 citations)
- Mobile phone data and COVID-19: Missing an opportunity? (43 citations)
- Effect of manual and digital contact tracing on COVID-19 outbreaks: a study on empirical contact data (14 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Topology
His primary scientific interests are in Public health, Mobile phone, Public transport, Scale and Transport engineering.
His work carried out in the field of Public health brings together such families of science as Control, Cellular network and Service.
The various areas that Jari Saramäki examines in his Mobile phone study include Economic growth and Location intelligence.
Public transport is often connected to Empirical research in his work.
His study brings together the fields of Information exchange and Scale.
His studies in Transport engineering integrate themes in fields like Metropolitan area and Service level.
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