Michael C. Thrun
Impact in
- Space and Planetary Science top 5%
- Artificial Intelligence top 5%
- Advanced Clustering Algorithms Research
- Explainable Artificial Intelligence (XAI)
- Geochemistry and Geologic Mapping
Papers in
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- Advanced Clustering Algorithms Research 11
- Bayesian Methods and Mixture Models 4
- Explainable Artificial Intelligence (XAI) 4
- Geochemistry and Geologic Mapping 3
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- Data Visualization and Analytics 4
- Co-authors
- Alfred Ultsch (19 shared papers)Wolfgang Einhäuser (2 shared papers)Antje Nuthmann (1 shared paper)Jörn Lötsch (4 shared papers)F. Javier Lerch (2 shared papers)Lutz Breuer (2 shared papers)Cornelia Brendel (7 shared papers)Alice H. Aubert (1 shared paper)
In The Last Decade
Michael C. Thrun
41 papers receiving 699 citations
Peers
Comparison fields: 5 of 134
- Space and Planetary Science 17
- Artificial Intelligence 304
- Health Informatics 12
- Sensory Systems 40
- Computer Vision and Pattern Recognition 165
Countries citing papers authored by Michael C. Thrun
This map shows the geographic impact of Michael C. Thrun'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 C. Thrun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael C. Thrun more than expected).
Fields of papers citing papers by Michael C. Thrun
This network shows the impact of papers produced by Michael C. Thrun. 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 C. Thrun. The network helps show where Michael C. Thrun may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael C. Thrun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 71 | |
| 2 | 2020 | 54 | |
| 3 | 2020 | 47 | |
| 4 | 2018 | 46 | |
| 5 | 2020 | 44 | |
| 6 | 2020 | 44 | |
| 7 | 2015 | 42 | |
| 8 | 2020 | 31 | |
| 9 | 2018 | 24 | |
| 10 | 2021 | 23 | |
| 11 | 2017 | 23 | |
| 12 | 2016 | 22 | |
| 13 | 2021 | 21 | |
| 14 | Visualization and 3D printing of multivariate data of biomarkers | 2016 | 21 |
| 15 | 2020 | 19 | |
| 16 | 2018 | 18 | |
| 17 | 2020 | 17 | |
| 18 | 2017 | 17 | |
| 19 | 2020 | 15 | |
| 20 | 2021 | 9 |
About Michael C. Thrun
Michael C. Thrun is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Signal Processing and Statistical and Nonlinear Physics, having authored 41 papers that have together received 717 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (11 papers), Data Visualization and Analytics (4 papers), Time Series Analysis and Forecasting (4 papers), Bayesian Methods and Mixture Models (4 papers), Explainable Artificial Intelligence (XAI) (4 papers), Gene expression and cancer classification (3 papers), Data Management and Algorithms (3 papers) and Geochemistry and Geologic Mapping (3 papers). The work is most often cited by research in Space and Planetary Science (17 citations), Artificial Intelligence (304 citations), Health Informatics (12 citations), Sensory Systems (40 citations) and Computer Vision and Pattern Recognition (165 citations). Michael C. Thrun has collaborated with scholars based in Germany, Mexico and Israel. Frequent co-authors include Alfred Ultsch, Wolfgang Einhäuser, Antje Nuthmann, Jörn Lötsch, F. Javier Lerch, Lutz Breuer, Cornelia Brendel, Alice H. Aubert, Andreas Neubauer and Gerd Geißlinger. Their work appears in journals such as International Journal of Molecular Sciences, Data in Brief, Scientific Reports, Vision Research and Entrepreneurial Business and Economics Review.
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.