H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology H-index 30 Citations 3,364 145 World Ranking 6552 National Ranking 2268

Overview

What is she best known for?

The fields of study she is best known for:

  • Computer network
  • Statistics
  • Artificial intelligence

Caterina Scoglio mainly investigates Epidemic model, Complex network, Robustness, Mathematical optimization and Computer network. Her Epidemic model research is multidisciplinary, incorporating elements of Econometrics and Behavioral pattern. Her work in Complex network tackles topics such as Graph theory which are related to areas like Adjacency matrix and Markov process.

Caterina Scoglio has researched Robustness in several fields, including Islanding, Electric power system, Multiple edges and Algebraic connectivity. She frequently studies issues relating to Distributed computing and Computer network. Her studies in Multiprotocol Label Switching integrate themes in fields like Traffic engineering and Bandwidth allocation.

Her most cited work include:

  • Generalized epidemic mean-field model for spreading processes over multilayer complex networks (184 citations)
  • Competitive epidemic spreading over arbitrary multilayer networks (140 citations)
  • On the existence of a threshold for preventive behavioral responses to suppress epidemic spreading. (118 citations)

What are the main themes of her work throughout her whole career to date?

Caterina Scoglio spends much of her time researching Computer network, Distributed computing, Complex network, Mathematical optimization and Robustness. Her research investigates the connection with Distributed computing and areas like Network topology which intersect with concerns in Upper and lower bounds and Network model. Her Complex network study incorporates themes from Survivability, Epidemic model, Graph theory, Artificial intelligence and Graph.

Her study in Mathematical optimization focuses on Heuristics in particular. Her biological study spans a wide range of topics, including Cascading failure, Electric power system and Topology. Her Multiprotocol Label Switching research incorporates themes from Bandwidth allocation, Bandwidth, Path and Traffic engineering.

She most often published in these fields:

  • Computer network (20.43%)
  • Distributed computing (17.83%)
  • Complex network (16.09%)

What were the highlights of her more recent work (between 2018-2021)?

  • Outbreak (6.96%)
  • Statistics (5.65%)
  • Epidemic model (9.13%)

In recent papers she was focusing on the following fields of study:

Caterina Scoglio mainly focuses on Outbreak, Statistics, Epidemic model, Beef cattle and Complex network. Her study focuses on the intersection of Outbreak and fields such as Risk assessment with connections in the field of Dengue fever, Host, Cartography and Probabilistic logic. Caterina Scoglio has included themes like State parameter, Transmission, Feature selection and Dual in her Statistics study.

Her study in Epidemic model is interdisciplinary in nature, drawing from both Group, Network model, Contact tracing, Bounded function and Isoperimetric inequality. The concepts of her Beef cattle study are interwoven with issues in Cattle movement and Disease transmission. Her work deals with themes such as Probability density function, Mathematical optimization and Identification, which intersect with Complex network.

Between 2018 and 2021, her most popular works were:

  • Short-term forecasts and long-term mitigation evaluations for the COVID-19 epidemic in Hubei Province, China (15 citations)
  • A spatio-temporal individual-based network framework for West Nile virus in the USA: Spreading pattern of West Nile virus. (13 citations)
  • Contact Adaption During Epidemics: A Multilayer Network Formulation Approach (12 citations)

In her most recent research, the most cited papers focused on:

  • Computer network
  • Statistics
  • Artificial intelligence

Her main research concerns Outbreak, Network topology, Limiting, Robustness and Distributed computing. Her Outbreak research is multidisciplinary, relying on both Evolutionary biology, Host and Zika virus. Her research integrates issues of Mathematical optimization, Mathematical model, Monotonic function and Nonlinear system in her study of Network topology.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Generalized epidemic mean-field model for spreading processes over multilayer complex networks

Faryad Darabi Sahneh;Caterina Scoglio;Piet Van Mieghem.
IEEE ACM Transactions on Networking (2013)

240 Citations

Competitive epidemic spreading over arbitrary multilayer networks

Faryad Darabi Sahneh;Caterina Scoglio.
Physical Review E (2014)

173 Citations

QoS online routing and MPLS multilevel protection: a survey

J.L. Marzo;E. Calle;C. Scoglio;T. Anjah.
IEEE Communications Magazine (2003)

151 Citations

On the existence of a threshold for preventive behavioral responses to suppress epidemic spreading.

Faryad Darabi Sahneh;Fahmida N. Chowdhury;Caterina M. Scoglio.
Scientific Reports (2012)

149 Citations

Abruptness of Cascade Failures in Power Grids

Sakshi Pahwa;Caterina M. Scoglio;Antonio Scala.
Scientific Reports (2015)

144 Citations

An individual-based approach to SIR epidemics in contact networks

Mina Youssef;Caterina M Scoglio.
Journal of Theoretical Biology (2011)

135 Citations

Optimizing algebraic connectivity by edge rewiring

Ali Sydney;Caterina Scoglio;Don Gruenbacher.
Applied Mathematics and Computation (2013)

95 Citations

Routing multipoint connections using virtual paths in an ATM network

M.H. Ammar;S.Y. Cheung;C.M. Scoglio.
international conference on computer communications (1993)

94 Citations

A new preemption policy for DiffServ-aware traffic engineering to minimize rerouting

J.C. de Oliveira;C. Scoglio;I.F. Akyildiz;G. Uhl.
international conference on computer communications (2002)

90 Citations

New preemption policies for DiffServ-aware traffic engineering to minimize rerouting in MPLS networks

J.C. de Oliveira;C. Scoglio;I.F. Akyildiz;G. Uhl.
IEEE ACM Transactions on Networking (2004)

89 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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