Michael U. Gutmann

44 papers and 1.7k indexed citations i.

About

Michael U. Gutmann is a scholar working on Artificial Intelligence, Statistics and Probability and Cognitive Neuroscience. According to data from OpenAlex, Michael U. Gutmann has authored 44 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 10 papers in Statistics and Probability and 8 papers in Cognitive Neuroscience. Recurrent topics in Michael U. Gutmann’s work include Gaussian Processes and Bayesian Inference (14 papers), Markov Chains and Monte Carlo Methods (8 papers) and Neural Networks and Applications (8 papers). Michael U. Gutmann is often cited by papers focused on Gaussian Processes and Bayesian Inference (14 papers), Markov Chains and Monte Carlo Methods (8 papers) and Neural Networks and Applications (8 papers). Michael U. Gutmann collaborates with scholars based in Finland, United Kingdom and Norway. Michael U. Gutmann's co-authors include Aapo Hyvärinen, Jukka Corander, Samuel Kaski, Ritabrata Dutta, Patrick Rinke, Milica Todorović, Pekka Marttinen, Akash Srivastava, William P. Hanage and Lazar Valkov and has published in prestigious journals such as Bioinformatics, PLoS ONE and Annals of Surgery.

In The Last Decade

Co-authorship network of co-authors of Michael U. Gutmann i

Fields of papers citing papers by Michael U. Gutmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael U. Gutmann. 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 U. Gutmann. The network helps show where Michael U. Gutmann may publish in the future.

Countries citing papers authored by Michael U. Gutmann

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025