D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 40 Citations 10,264 157 World Ranking 5676 National Ranking 2764

Research.com Recognitions

Awards & Achievements

2018 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Artificial intelligence
  • Social science

His scientific interests lie mostly in Data mining, Theoretical computer science, Random walk, Relational database and Sample. His Data mining research includes themes of Exponential family, Statistical theory, Score, Missing data and Markov chain Monte Carlo. In his study, Network model, Visualization, Software and Graph drawing is inextricably linked to Exponential random graph models, which falls within the broad field of Markov chain Monte Carlo.

The various areas that Carter T. Butts examines in his Theoretical computer science study include Class, Artificial intelligence and Graph. His Random walk research focuses on Sampling and how it relates to Markov process, Context, Machine learning and Social relation. The concepts of his Sample study are interwoven with issues in Contrast, Spatial variability and Social network.

His most cited work include:

  • Walking in Facebook: A Case Study of Unbiased Sampling of OSNs (601 citations)
  • statnet: Software Tools for the Representation, Visualization, Analysis and Simulation of Network Data. (597 citations)
  • ergm: A Package to Fit, Simulate and Diagnose Exponential-Family Models for Networks. (594 citations)

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

Random graph, Exponential family, Theoretical computer science, Artificial intelligence and Data mining are his primary areas of study. His study in Random graph focuses on Exponential random graph models in particular. He combines subjects such as Set and Markov chain Monte Carlo with his study of Exponential family.

In his study, Sampling and Random walk is strongly linked to Graph, which falls under the umbrella field of Theoretical computer science. His Artificial intelligence research includes elements of Machine learning and Covariate. His Data mining research incorporates themes from Sample and Social graph.

He most often published in these fields:

  • Random graph (15.14%)
  • Exponential family (12.84%)
  • Theoretical computer science (12.84%)

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

  • Exponential family (12.84%)
  • Random graph (15.14%)
  • Social media (8.26%)

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

The scientist’s investigation covers issues in Exponential family, Random graph, Social media, Protease and Protein structure. His Exponential family study which covers Personal boundaries that intersects with Statistic. The various areas that Carter T. Butts examines in his Random graph study include Vertex model, Theoretical computer science, Statistical model and Bayesian inference.

His studies deal with areas such as Density estimation, Set, Interpretation and Process as well as Theoretical computer science. The concepts of his Social media study are interwoven with issues in Advertising, Content analysis and Public relations. His Imputation study combines topics in areas such as Network dynamics and Data mining.

Between 2018 and 2021, his most popular works were:

  • Interorganizational Collaboration in the Hurricane Katrina Response. (29 citations)
  • Spatial heterogeneity can lead to substantial local variations in COVID-19 timing and severity. (15 citations)
  • Exponential-Family Models of Random Graphs: Inference in Finite, Super and Infinite Population Scenarios (13 citations)

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

  • Statistics
  • Artificial intelligence
  • Social science

Carter T. Butts mainly focuses on Exponential family, Social media, Protein structure, R package and National weather service. His research integrates issues of Theoretical computer science, Process and Random graph in his study of Exponential family. Carter T. Butts interconnects Graph, Inference, Markov chain, Random field and Sample in the investigation of issues within Theoretical computer science.

His Random graph study incorporates themes from Network dynamics, Set, Interpretation and Reference model. Carter T. Butts has included themes like Message passing, The Internet and Internet privacy in his Social media study. His Protein structure study combines topics from a wide range of disciplines, such as Biophysics, Molecular mechanism and Protein folding.

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.

Best Publications

ergm: A Package to Fit, Simulate and Diagnose Exponential-Family Models for Networks.

David R. Hunter;Mark S. Handcock;Carter T. Butts;Steven M. Goodreau.
Journal of Statistical Software (2008)

1038 Citations

ergm: A Package to Fit, Simulate and Diagnose Exponential-Family Models for Networks.

David R. Hunter;Mark S. Handcock;Carter T. Butts;Steven M. Goodreau.
Journal of Statistical Software (2008)

1038 Citations

Walking in Facebook: A Case Study of Unbiased Sampling of OSNs

Minas Gjoka;Maciej Kurant;Carter T. Butts;Athina Markopoulou.
international conference on computer communications (2010)

865 Citations

Walking in Facebook: A Case Study of Unbiased Sampling of OSNs

Minas Gjoka;Maciej Kurant;Carter T. Butts;Athina Markopoulou.
international conference on computer communications (2010)

865 Citations

statnet: Software Tools for the Representation, Visualization, Analysis and Simulation of Network Data.

Mark S. Handcock;David R. Hunter;Carter T. Butts;Steven M. Goodreau.
Journal of Statistical Software (2008)

741 Citations

statnet: Software Tools for the Representation, Visualization, Analysis and Simulation of Network Data.

Mark S. Handcock;David R. Hunter;Carter T. Butts;Steven M. Goodreau.
Journal of Statistical Software (2008)

741 Citations

Social Network Analysis with sna

Carter T. Butts.
Journal of Statistical Software (2008)

625 Citations

Social Network Analysis with sna

Carter T. Butts.
Journal of Statistical Software (2008)

625 Citations

Revisiting the Foundations of Network Analysis

Carter T. Butts.
Science (2009)

618 Citations

Revisiting the Foundations of Network Analysis

Carter T. Butts.
Science (2009)

618 Citations

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