Michael Schweinberger

1.7k total citations
27 papers, 847 citations indexed

About

Michael Schweinberger is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Michael Schweinberger has authored 27 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistical and Nonlinear Physics, 10 papers in Artificial Intelligence and 7 papers in Statistics and Probability. Recurrent topics in Michael Schweinberger's work include Complex Network Analysis Techniques (16 papers), Opinion Dynamics and Social Influence (8 papers) and Bayesian Methods and Mixture Models (7 papers). Michael Schweinberger is often cited by papers focused on Complex Network Analysis Techniques (16 papers), Opinion Dynamics and Social Influence (8 papers) and Bayesian Methods and Mixture Models (7 papers). Michael Schweinberger collaborates with scholars based in United States, Netherlands and United Kingdom. Michael Schweinberger's co-authors include Tom A. B. Snijders, Mark Huisman, Christian Steglich, Johan Koskinen, Mark S. Handcock, David R. Hunter, Pavel N. Krivitsky, Ruth M. Ripley, Duy Vu and Michał Bojanowski and has published in prestigious journals such as Journal of the American Statistical Association, Journal of the Royal Statistical Society Series B (Statistical Methodology) and The Annals of Statistics.

In The Last Decade

Michael Schweinberger

23 papers receiving 776 citations

Peers

Countries citing papers authored by Michael Schweinberger

Since Specialization

Citations

This map shows the geographic impact of Michael Schweinberger's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Schweinberger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Schweinberger more than expected).

Fields of papers citing papers by Michael Schweinberger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Schweinberger. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Schweinberger. The network helps show where Michael Schweinberger may publish in the future.

Co-authorship network of co-authors of Michael Schweinberger

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Schweinberger. A scholar is included among the top collaborators of Michael Schweinberger based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Schweinberger. Michael Schweinberger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	A Socio‐demographic Latent Space Approach to Spatial Data When Geography Is Important But not All‐Important ¹ 2025 ·International Statistical Review ·(unknown), Scott H. Holan, Michael Schweinberger	0
2	A Strategic Model of Software Dependency Networks 2024 ·(unknown), (unknown), Angelo Mele, Michael Schweinberger	1
3	A latent process model for monitoring progress toward hard-to-measure targets with applications to mental health and online educational assessments 2024 ·The Annals of Applied Statistics ·Minjeong Jeon, Michael Schweinberger	0
4	Non-asymptotic model selection for models of network data with parameter vectors of increasing dimension 2024 ·Journal of Statistical Planning and Inference ·(unknown), Michael Schweinberger	0
5	Multilevel Network Item Response Modelling for Discovering Differences between Innovation and Regular School Systems in Korea 2022 ·Journal of the Royal Statistical Society Series C (Applied Statistics) ·(unknown), Minjeong Jeon, Michael Schweinberger, Jonghyun Yun, Lizhen Lin	0
6	Concentration and consistency results for canonical and curved exponential-family models of random graphs 2020 ·The Annals of Statistics ·Michael Schweinberger, (unknown)	12
7	Statistical inference for continuous‐time Markov processes with block structure based on discrete‐time network data 2020 ·Statistica Neerlandica ·Michael Schweinberger	3
8	Large-scale estimation of random graph models with local dependence 2020 ·Computational Statistics & Data Analysis ·(unknown), (unknown), (unknown), Michael Schweinberger	7
9	Multilevel network data facilitate statistical inference for curved ERGMs with geometrically weighted terms 2019 ·Social Networks ·(unknown), Michael Schweinberger, Michał Bojanowski, Martina Morris	21
10	Foundations of Finite-, Super-, and Infinite-Population Random Graph Inference 2017 ·Michael Schweinberger, Pavel N. Krivitsky, Carter T. Butts	5
11	High-Dimensional Multivariate Time Series With Additional Structure 2016 ·Journal of Computational and Graphical Statistics ·Michael Schweinberger, (unknown), Katherine B. Ensor	7
12	Disaster response on September 11, 2001 through the lens of statistical network analysis 2014 ·Social Networks ·Michael Schweinberger, Miruna Petrescu‐Prahova, Duy Vu	15
13	Local Dependence in Random Graph Models: Characterization, Properties and Statistical Inference 2014 ·Journal of the Royal Statistical Society Series B (Statistical Methodology) ·Michael Schweinberger, Mark S. Handcock	62
14	MODEL-BASED CLUSTERING OF LARGE NETWORKS1 2012 ·Duy Vu, David R. Hunter, Michael Schweinberger	35
15	Computational Statistical Methods for Social Network Models 2012 ·Journal of Computational and Graphical Statistics ·David R. Hunter, Pavel N. Krivitsky, Michael Schweinberger	54
16	Statistical modelling of network panel data: Goodness of fit 2011 ·British Journal of Mathematical and Statistical Psychology ·Michael Schweinberger	68
17	Instability, Sensitivity, and Degeneracy of Discrete Exponential Families 2011 ·Journal of the American Statistical Association ·Michael Schweinberger	84
18	Maximum likelihood estimation for social network dynamics 2010 ·The Annals of Applied Statistics ·Tom A. B. Snijders, Johan Koskinen, Michael Schweinberger	102
19	Assessing and accounting for time heterogeneity in stochastic actor oriented models 2010 ·Advances in Data Analysis and Classification ·(unknown), Michael Schweinberger, Tom A. B. Snijders, Ruth M. Ripley	69
20	Manual for SIENA version 2.1 2005 ·University of Groningen research database (University of Groningen / Centre for Information Technology) ·Tom A. B. Snijders, Christian Steglich, Michael Schweinberger, Mark Huisman	175

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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