Dominic Schuhmacher

31 papers and 1.9k indexed citations i.

About

Dominic Schuhmacher is a scholar working on Applied Mathematics, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Dominic Schuhmacher has authored 31 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Applied Mathematics, 13 papers in Statistics and Probability and 11 papers in Artificial Intelligence. Recurrent topics in Dominic Schuhmacher’s work include Point processes and geometric inequalities (17 papers), Bayesian Methods and Mixture Models (9 papers) and Random Matrices and Applications (6 papers). Dominic Schuhmacher is often cited by papers focused on Point processes and geometric inequalities (17 papers), Bayesian Methods and Mixture Models (9 papers) and Random Matrices and Applications (6 papers). Dominic Schuhmacher collaborates with scholars based in Germany, Switzerland and Australia. Dominic Schuhmacher's co-authors include Ba-Tuong Vo, Ba‐Ngu Vo, Lutz Dümbgen, Carsten Gottschlich, Richard J. Samworth, Aihua Xia, Adrian Baddeley, N. I. Fisher, Rohan Shah and Rolf Turner and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.

In The Last Decade

Co-authorship network of co-authors of Dominic Schuhmacher i

Fields of papers citing papers by Dominic Schuhmacher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dominic Schuhmacher. 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 Dominic Schuhmacher. The network helps show where Dominic Schuhmacher may publish in the future.

Countries citing papers authored by Dominic Schuhmacher

Since Specialization
Citations

This map shows the geographic impact of Dominic Schuhmacher'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 Dominic Schuhmacher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dominic Schuhmacher more than expected).

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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