Michael C. Thrun

1.0k total citations
41 papers, 696 citations indexed

About

Michael C. Thrun is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michael C. Thrun has authored 41 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 8 papers in Molecular Biology and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michael C. Thrun's work include Advanced Clustering Algorithms Research (11 papers), Bayesian Methods and Mixture Models (4 papers) and Data Visualization and Analytics (4 papers). Michael C. Thrun is often cited by papers focused on Advanced Clustering Algorithms Research (11 papers), Bayesian Methods and Mixture Models (4 papers) and Data Visualization and Analytics (4 papers). Michael C. Thrun collaborates with scholars based in Germany, Mexico and United Kingdom. Michael C. Thrun's co-authors include Alfred Ultsch, Wolfgang Einhäuser, Antje Nuthmann, Jörn Lötsch, F. Javier Lerch, Lutz Breuer, Alice H. Aubert, Cornelia Brendel, Gerd Geißlinger and Andreas Neubauer and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Michael C. Thrun

41 papers receiving 678 citations

Peers

Michael C. Thrun

CVPR

Young K. Truong United States

Valeria Vitelli Norway

Rémi Dubois France

Ian Nabney United Kingdom

Y.-T. Lai United States

Ziming Li China

Keh-Shih Chuang Taiwan

Li Zheng China

Antonino Staiano Italy

Lai Wei China

Young K. Truong United States

Michael C. Thrun

307 ×1.0

87 ×0.5

CVPR

112 ×1.2

47 ×0.6

51 ×0.7

Citations per year, relative to Michael C. Thrun Michael C. Thrun (= 1×) peers Young K. Truong

Countries citing papers authored by Michael C. Thrun

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Michael C. Thrun

This figure shows the co-authorship network connecting the top 25 collaborators of Michael C. Thrun. A scholar is included among the top collaborators of Michael C. Thrun 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 C. Thrun. Michael C. Thrun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Neubauer, Andreas, et al.. (2024). Development of an explainable AI system using routine clinical parameters for rapid differentiation of inflammatory conditions. Frontiers in Immunology. 15. 1364954–1364954. 3 indexed citations

Thrun, Michael C., et al.. (2024). Knowledge Discovery from Archaeological Materials. Cambridge University Press eBooks. 9 indexed citations

Ultsch, Alfred, Jörg Hoffmann, Malte von Bonin, et al.. (2024). An Explainable AI System for the Diagnosis of High-Dimensional Biomedical Data. SHILAP Revista de lepidopterología. 4(1). 197–218. 3 indexed citations

Thrun, Michael C., et al.. (2023). Analyzing Quality Measurements for Dimensionality Reduction. SHILAP Revista de lepidopterología. 5(3). 1076–1118. 7 indexed citations

Wilhelm, Christian, Stefan W. Krause, Andreas Neubauer, et al.. (2023). Prediction of Clinical Outcomes with Explainable Artificial Intelligence in Patients with Chronic Lymphocytic Leukemia. Current Oncology. 30(2). 1903–1915. 5 indexed citations

Thrun, Michael C., Elisabeth Mack, Andreas Neubauer, et al.. (2022). A Bioinformatics View on Acute Myeloid Leukemia Surface Molecules by Combined Bayesian and ABC Analysis. Bioengineering. 9(11). 642–642. 4 indexed citations

Thrun, Michael C.. (2022). Exploiting Distance-Based Structures in Data Using an Explainable AI for Stock Picking. Information. 13(2). 51–51. 7 indexed citations

Thrun, Michael C.. (2021). Distance-based clustering challenges for unbiased benchmarking studies. Scientific Reports. 11(1). 18988–18988. 21 indexed citations

Thrun, Michael C., Alfred Ultsch, & Lutz Breuer. (2021). Explainable AI Framework for Multivariate Hydrochemical Time Series. SHILAP Revista de lepidopterología. 3(1). 170–204. 23 indexed citations

10.

Thrun, Michael C., et al.. (2020). Fundamental clustering algorithms suite. SoftwareX. 13. 100642–100642. 28 indexed citations

11.

Thrun, Michael C., et al.. (2020). Projection-Based Classification of Chemical Groups for Provenance Analysis of Archaeological Materials. IEEE Access. 8. 152439–152451. 15 indexed citations

12.

Thrun, Michael C., et al.. (2020). Analyzing the fine structure of distributions. PLoS ONE. 15(10). e0238835–e0238835. 47 indexed citations

13.

Kaiser, Ulrich, Michael C. Thrun, Christian Wilhelm, et al.. (2020). Determination of CD43 and CD200 surface expression improves accuracy of B‐cell lymphoma immunophenotyping. Cytometry Part B Clinical Cytometry. 98(6). 476–482. 17 indexed citations

14.

Thrun, Michael C., et al.. (2020). Interactive Machine Learning Tool for Clustering in Visual Analytics. 479–487. 8 indexed citations

15.

Thrun, Michael C.. (2019). Knowledge Discovery in Quarterly Financial Data of Stocks Based on the Prime Standard using a Hybrid of a Swarm with SOM.. The European Symposium on Artificial Neural Networks. 1 indexed citations

16.

Thrun, Michael C.. (2019). Cluster Analysis of Per Capita Gross Domestic Products. Entrepreneurial Business and Economics Review. 7(1). 217–231. 4 indexed citations

17.

Aubert, Alice H., Michael C. Thrun, Lutz Breuer, & Alfred Ultsch. (2016). Knowledge discovery from high-frequency stream nitrate concentrations: hydrology and biology contributions. Scientific Reports. 6(1). 31536–31536. 22 indexed citations

18.

Ultsch, Alfred, et al.. (2015). Identification of Molecular Fingerprints in Human Heat Pain Thresholds by Use of an Interactive Mixture Model R Toolbox (AdaptGauss). International Journal of Molecular Sciences. 16(10). 25897–25911. 41 indexed citations

19.

Thrun, Michael C., et al.. (2014). Overt attention in natural scenes: Objects dominate features. Vision Research. 107. 36–48. 66 indexed citations

20.

Thrun, Michael C., et al.. (2014). Rapid serial processing of natural scenes: Color modulates detection but neither recognition nor the attentional blink. Journal of Vision. 14(14). 4–4. 8 indexed citations

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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