Michael G. Schimek

108 total papers · 1.5k total citations
38 papers, 759 citations indexed

About

Michael G. Schimek is a scholar working on Molecular Biology, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Michael G. Schimek has authored 38 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Statistics and Probability and 6 papers in Artificial Intelligence. Recurrent topics in Michael G. Schimek's work include Gene expression and cancer classification (7 papers), Bayesian Modeling and Causal Inference (4 papers) and Advanced Statistical Methods and Models (4 papers). Michael G. Schimek is often cited by papers focused on Gene expression and cancer classification (7 papers), Bayesian Modeling and Causal Inference (4 papers) and Advanced Statistical Methods and Models (4 papers). Michael G. Schimek collaborates with scholars based in Austria, United States and Czechia. Michael G. Schimek's co-authors include Wolfgang Karl Härdle, Bastian Pfeifer, Thomas Frischer, Michael Kundi, Friedrich Horak, Hanns Moshammer, H. Puxbaum, Manfred Neuberger, Boštjan Gomišček and Andreas Holzinger and has published in prestigious journals such as Journal of the American Statistical Association, Blood and Bioinformatics.

In The Last Decade

Michael G. Schimek

36 papers receiving 727 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Michael G. Schimek	181	102	101	68	57	38	759
Aris Perperoglou	72 0.4×	30 0.3×	122 1.2×	99 1.5×	27 0.5×	37	908
Mingan Yang	106 0.6×	153 1.5×	125 1.2×	107 1.6×	39 0.7×	36	736
I. D. Hill	43 0.2×	89 0.9×	77 0.8×	33 0.5×	14 0.2×	46	833
G. Enderlein	46 0.3×	47 0.5×	134 1.3×	86 1.3×	23 0.4×	58	878
Meifang Li	218 1.2×	61 0.6×	10 0.1×	14 0.2×	42 0.7×	80	893
Frauke Degenhardt	186 1.0×	19 0.2×	13 0.1×	43 0.6×	37 0.6×	25	759
Jinzhu Jia	162 0.9×	41 0.4×	97 1.0×	110 1.6×	4 0.1×	71	816
Qi Zheng	253 1.4×	55 0.5×	44 0.4×	25 0.4×	17 0.3×	51	867
Lingsong Zhang	72 0.4×	39 0.4×	49 0.5×	65 1.0×	24 0.4×	60	847
Jialin Xu	81 0.4×	53 0.5×	12 0.1×	14 0.2×	18 0.3×	43	724

Countries citing papers authored by Michael G. Schimek

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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