Michael G. Schimek
- Molecular Biology
- Health, Toxicology and Mutagenesis top 10%
- Statistics and Probability top 5%
- Artificial Intelligence
- Environmental Engineering
- Co-authors
- Wolfgang Karl HärdleBastian PfeiferFriedrich HorakMichael KundiBoštjan GomiščekH. PuxbaumManfred NeubergerThomas Frischer
- Topics
- Gene expression and cancer classification (7 papers)Bayesian Modeling and Causal Inference (4 papers)Advanced Statistical Methods and Models (4 papers)
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Michael G. Schimek
36 papers receiving 729 citations
Peers
Comparison fields: 5 of 142
- Molecular Biology 181
- Health, Toxicology and Mutagenesis 103
- Statistics and Probability 101
- Artificial Intelligence 69
- Environmental Engineering 57
Countries citing papers authored by Michael G. Schimek
This map shows the geographic impact of Michael G. Schimek'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 G. Schimek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael G. Schimek more than expected).
Fields of papers citing papers by Michael G. Schimek
This network shows the impact of papers produced by Michael G. Schimek. 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 G. Schimek. The network helps show where Michael G. Schimek may publish in the future.
Co-authorship network of co-authors of Michael G. Schimek
This figure shows the co-authorship network connecting the top 25 collaborators of Michael G. Schimek. A scholar is included among the top collaborators of Michael G. Schimek 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 G. Schimek. Michael G. Schimek 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 | 11 | |
| 3 | 12 | |
| 4 | 18 | |
| 5 | 41 | |
| 6 | 7 | |
| 7 | 51 | |
| 8 | 19 | |
| 9 | 27 | |
| 10 | 17 | |
| 11 | 55 | |
| 12 | 4 | |
| 13 | 24 | |
| 14 | 5 | |
| 15 | 4 | |
| 16 | 39 | |
| 17 | Non- and Semiparametric Alternatives to Generalized Linear Models | 4 |
| 18 | 3 | |
| 19 | 2 | |
| 20 | 19 |
About Michael G. Schimek
Michael G. Schimek is a scholar working on Statistics and Probability, Biological Psychiatry and Speech and Hearing, having authored 38 papers that have together received 761 indexed citations. Recurring topics across this work include Gene expression and cancer classification (7 papers), Bayesian Modeling and Causal Inference (4 papers) and Advanced Statistical Methods and Models (4 papers). The work is most often cited by research in Statistics and Probability (101 citations), Biological Psychiatry (30 citations) and Health, Toxicology and Mutagenesis (103 citations). Michael G. Schimek has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Wolfgang Karl Härdle, Bastian Pfeifer, Friedrich Horak, Michael Kundi, Boštjan Gomišček, H. Puxbaum, Manfred Neuberger, Thomas Frischer, Hanns Moshammer and Eva Budínská. Their work appears in journals such as Journal of the American Statistical Association, Blood and Bioinformatics.
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.