Michael Schweinberger
- Statistical and Nonlinear Physics top 2%
- Sociology and Political Science top 10%
- Artificial Intelligence top 10%
- Experimental and Cognitive Psychology top 10%
- Statistics and Probability top 5%
- Co-authors
- Tom A. B. SnijdersMark HuismanChristian SteglichJohan KoskinenMark S. HandcockDavid R. HunterPavel N. KrivitskyRuth M. Ripley
- Topics
- Complex Network Analysis Techniques (16 papers)Opinion Dynamics and Social Influence (8 papers)Bayesian Methods and Mixture Models (7 papers)
- Cited by
- Statistical and Nonlinear PhysicsStatistics and ProbabilityExperimental and Cognitive Psychology
- Journals
- Journal of the American Statistical AssociationJournal of the Royal Statistical Society Series B (Statistical Methodology)The Annals of Statistics
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Michael Schweinberger
23 papers receiving 776 citations
Peers
Comparison fields: 5 of 100
- Statistical and Nonlinear Physics 426
- Sociology and Political Science 227
- Artificial Intelligence 124
- Experimental and Cognitive Psychology 116
- Statistics and Probability 86
Countries citing papers authored by Michael Schweinberger
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 12 | |
| 7 | 3 | |
| 8 | 7 | |
| 9 | 21 | |
| 10 | Foundations of Finite-, Super-, and Infinite-Population Random Graph Inference | 5 |
| 11 | 7 | |
| 12 | 15 | |
| 13 | 62 | |
| 14 | MODEL-BASED CLUSTERING OF LARGE NETWORKS1 | 35 |
| 15 | 54 | |
| 16 | 68 | |
| 17 | 84 | |
| 18 | 102 | |
| 19 | 69 | |
| 20 | Manual for SIENA version 2.1 | 175 |
About Michael Schweinberger
Michael Schweinberger is a scholar working on Statistical and Nonlinear Physics, Statistics and Probability and Mathematical Physics, having authored 27 papers that have together received 847 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (16 papers), Opinion Dynamics and Social Influence (8 papers) and Bayesian Methods and Mixture Models (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (426 citations), Statistics and Probability (86 citations) and Experimental and Cognitive Psychology (116 citations). Michael Schweinberger has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent 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. Their work appears in journals such as Journal of the American Statistical Association, Journal of the Royal Statistical Society Series B (Statistical Methodology) and The Annals of Statistics.
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.