Thomas Gumbsch

8 papers and 232 indexed citations i.

About

Thomas Gumbsch is a scholar working on Artificial Intelligence, Molecular Biology and Epidemiology. According to data from OpenAlex, Thomas Gumbsch has authored 8 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Epidemiology. Recurrent topics in Thomas Gumbsch’s work include Machine Learning in Healthcare (3 papers), Time Series Analysis and Forecasting (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Thomas Gumbsch is often cited by papers focused on Machine Learning in Healthcare (3 papers), Time Series Analysis and Forecasting (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Thomas Gumbsch collaborates with scholars based in Switzerland, New Zealand and Australia. Thomas Gumbsch's co-authors include Christian Bock, Bastian Rieck, Karsten Borgwardt, Michael Moor, Max Horn, Tobias M. Merz, Matthias Hüser, Martin Faltys, Gunnar Rätsch and Xinrui Lyu and has published in prestigious journals such as Nature Medicine, Bioinformatics and Knowledge and Information Systems.

In The Last Decade

Co-authorship network of co-authors of Thomas Gumbsch i

Fields of papers citing papers by Thomas Gumbsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Thomas Gumbsch

Since Specialization
Citations

This map shows the geographic impact of Thomas Gumbsch'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 Thomas Gumbsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Gumbsch 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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2025