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- Garry Robins

Discipline name
H-index
Citations
Publications
World Ranking
National Ranking

Social Sciences and Humanities
D-index
46
Citations
8,672
99
World Ranking
1523
National Ranking
111

- Statistics
- Social science
- Social psychology

His primary areas of investigation include Exponential random graph models, Random graph, Artificial intelligence, Social network and Discrete mathematics. His Exponential random graph models research is multidisciplinary, incorporating elements of Goodness of fit, Markov chain Monte Carlo, Psychological resilience and Transitive relation. In his study, Random variable, Null model, Graphical model and Local area network is strongly linked to Markov chain, which falls under the umbrella field of Random graph.

Garry Robins interconnects Outcome and Friendship in the investigation of issues within Artificial intelligence. His Social network research focuses on Social psychology and how it connects with Developmental psychology. Garry Robins focuses mostly in the field of Discrete mathematics, narrowing it down to topics relating to Clustering coefficient and, in certain cases, Relational database and 3-dimensional matching.

- An introduction to exponential random graph (p * ) models for social networks (1366 citations)
- NEW SPECIFICATIONS FOR EXPONENTIAL RANDOM GRAPH MODELS (974 citations)
- Recent developments in exponential random graph (p*) models for social networks (616 citations)

His scientific interests lie mostly in Exponential random graph models, Social network, Social psychology, Random graph and Artificial intelligence. His Exponential random graph models research is multidisciplinary, relying on both Theoretical computer science, Snowball sampling, Econometrics, Statistical model and Markov chain. His Social network research incorporates themes from Social influence, Management science, Network science and Data science.

His work deals with themes such as Perception and Social cognition, which intersect with Social psychology. His Random graph research includes elements of Random regular graph, Null model and Random geometric graph. His studies deal with areas such as Goodness of fit, Machine learning and Dynamic network analysis as well as Artificial intelligence.

- Exponential random graph models (32.34%)
- Social network (21.56%)
- Social psychology (18.56%)

- Exponential random graph models (32.34%)
- Social network (21.56%)
- Theoretical computer science (11.38%)

Garry Robins mainly focuses on Exponential random graph models, Social network, Theoretical computer science, Environmental governance and Environmental studies. His Exponential random graph models study combines topics from a wide range of disciplines, such as Snowball sampling, Network model, Inference, Mathematical optimization and Statistical model. His Statistical model study combines topics in areas such as Sampling, Estimation theory, Markov chain and Markov chain Monte Carlo.

His research integrates issues of Context, English for academic purposes, Network science and Data science in his study of Social network. His Theoretical computer science study integrates concerns from other disciplines, such as Node, Missing data, Bayesian probability, Random graph and Sample. Garry Robins integrates many fields in his works, including Random graph and Network analysis.

- Network structure and institutional complexity in an ecology of water management games (131 citations)
- Doing Social Network Research: Network-based Research Design for Social Scientists (109 citations)
- The impact of injecting networks on hepatitis C transmission and treatment in people who inject drugs (103 citations)

- Statistics
- Social science
- Social psychology

His main research concerns Exponential random graph models, Environmental studies, Environmental governance, Management science and Set. Garry Robins combines subjects such as Interpersonal communication, Knowledge management, Boundary spanning, Artificial intelligence and Machine learning with his study of Exponential random graph models. His study in the field of Categorization also crosses realms of Network structure.

His Management science research incorporates elements of Context, Network science, Data science and Social network. His Social network research integrates issues from Graph drawing, Social complexity and Social system. The Set study combines topics in areas such as Relation and Sustainability.

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.

An introduction to exponential random graph (p * ) models for social networks

Garry Robins;Pip Pattison;Yuval Kalish;Dean Lusher.

Social Networks **(2007)**

1960 Citations

NEW SPECIFICATIONS FOR EXPONENTIAL RANDOM GRAPH MODELS

Tom A. B. Snijders;Philippa E. Pattison;Garry L. Robins;Mark S. Handcock.

Sociological Methodology **(2006)**

1435 Citations

Exponential Random Graph Models for Social Networks: Theory, Methods and Applications

Dean Lusher;Johan Koskinen;Garry Robins.

New York: Cambridge University Press; 2013. **(2012)**

947 Citations

Recent developments in exponential random graph (p*) models for social networks

Garry Robins;Tom A. B. Snijders;Peng Wang;Mark Handcock.

Social Networks **(2007)**

883 Citations

Comparing the validity of multiple social effectiveness constructs in the prediction of managerial job performance

Assaf Semadar;Garry Robins;Gerald R. Ferris.

Journal of Organizational Behavior **(2006)**

465 Citations

Psychological predispositions and network structure: The relationship between individual predispositions, structural holes and network closure

Yuval Kalish;Garry Robins.

Social Networks **(2006)**

451 Citations

Small Worlds Among Interlocking Directors: Network Structure and Distance in Bipartite Graphs

Garry Robins;Malcolm Alexander.

Computational and Mathematical Organization Theory **(2004)**

374 Citations

Neighborhood–Based Models For Social Networks

Philippa Pattison;Garry Robins.

Sociological Methodology **(2002)**

360 Citations

Doing Social Network Research: Network-based Research Design for Social Scientists

Garry L. Robins.

**(2015)**

354 Citations

Exponential random graph models for multilevel networks

Peng Wang;Garry L. Robins;Philippa E. Pattison;Emmanuel Lazega.

Social Networks **(2013)**

285 Citations

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