Bastian Rieck

2.9k total citations · 2 hit papers
46 papers, 1.2k citations indexed

About

Bastian Rieck is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Bastian Rieck has authored 46 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 13 papers in Computational Theory and Mathematics and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Bastian Rieck's work include Topological and Geometric Data Analysis (13 papers), Machine Learning in Healthcare (8 papers) and Cell Image Analysis Techniques (7 papers). Bastian Rieck is often cited by papers focused on Topological and Geometric Data Analysis (13 papers), Machine Learning in Healthcare (8 papers) and Cell Image Analysis Techniques (7 papers). Bastian Rieck collaborates with scholars based in Switzerland, Germany and United States. Bastian Rieck's co-authors include Karsten Borgwardt, Michael Moor, Max Horn, Heike Leitte, Catherine R. Jutzeler, Christian Bock, Caroline Weis, Adrian Egli, Thomas Gumbsch and Dean A. Bodenham and has published in prestigious journals such as Nature Medicine, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Bastian Rieck

45 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Early prediction of circulatory failure in the intensive care unit using machine learning

2020 233 citations Stephanie L. Hyland, Martin Faltys et al. Nature Medicine profile →
Direct antimicrobial resistance prediction from clinical MALDI-TOF mass spectra using machine learning

2022 140 citations Caroline Weis, Aline Cuénod et al. Nature Medicine profile →

Peers

Bastian Rieck

EPIDE

RNMI

CTM

CVPR

Michael Moor Switzerland

Anthony Costa United States

Joseph E. Lucas United States

Klaus-Peter Adlassnig Austria

Ritankar Das United States

Julia E. Vogt Switzerland

Bo Zhou China

Sravanthi Parasa United States

Alain Venot France

Jacob Calvert United States

Michael Moor Switzerland

Bastian Rieck

608 ×1.5

259 ×1.1

EPIDE

394 ×2.2

RNMI

76 ×0.4

CTM

92 ×0.6

CVPR

Citations per year, relative to Bastian Rieck Bastian Rieck (= 1×) peers Michael Moor

Countries citing papers authored by Bastian Rieck

Since Specialization

Citations

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

Fields of papers citing papers by Bastian Rieck

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bastian Rieck

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Bock, Christian, Joan Walter, Bastian Rieck, et al.. (2024). Enhancing the diagnosis of functionally relevant coronary artery disease with machine learning. Nature Communications. 15(1). 5034–5034. 9 indexed citations

Levenson, Richard M., Yashbir Singh, Bastian Rieck, et al.. (2024). Advancing Precision Medicine: Algebraic Topology and Differential Geometry in Radiology and Computational Pathology. Laboratory Investigation. 104(6). 102060–102060. 3 indexed citations

Huguet, Guillaume, Alexander Tong, Bastian Rieck, et al.. (2023). Time-Inhomogeneous Diffusion Geometry and Topology. SIAM Journal on Mathematics of Data Science. 5(2). 346–372. 2 indexed citations

Moore, Jessica L., Dhananjay Bhaskar, Feng Gao, et al.. (2023). Cell cycle controls long-range calcium signaling in the regenerating epidermis. The Journal of Cell Biology. 222(7). 12 indexed citations

Yoneoka, Daisuke & Bastian Rieck. (2023). A Note on Cherry-Picking in Meta-Analyses. Entropy. 25(4). 691–691. 3 indexed citations

Vreeken, Jilles, et al.. (2023). All the world’s a (hyper)graph: A data drama. Digital Scholarship in the Humanities. 39(1). 74–96. 1 indexed citations

Moor, Michael, Max Horn, Bastian Rieck, et al.. (2023). Predicting sepsis using deep learning across international sites: a retrospective development and validation study. EClinicalMedicine. 62. 102124–102124. 33 indexed citations

Weis, Caroline, Aline Cuénod, Bastian Rieck, et al.. (2022). Direct antimicrobial resistance prediction from clinical MALDI-TOF mass spectra using machine learning. Nature Medicine. 28(1). 164–174. 140 indexed citations breakdown →

Moor, Michael, Bastian Rieck, Max Horn, Catherine R. Jutzeler, & Karsten Borgwardt. (2021). Early Prediction of Sepsis in the ICU Using Machine Learning: A Systematic Review. Frontiers in Medicine. 8. 607952–607952. 106 indexed citations

10.

Moor, Michael, et al.. (2021). A Survey of Topological Machine Learning Methods. Frontiers in Artificial Intelligence. 4. 681108–681108. 100 indexed citations

11.

O’Bray, Leslie, Bastian Rieck, & Karsten Borgwardt. (2021). Filtration Curves for Graph Representation. Repository for Publications and Research Data (ETH Zurich). 1267–1275. 11 indexed citations

12.

Rieck, Bastian, Tristan S. Yates, Christian Bock, et al.. (2021). Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence. Repository for Publications and Research Data (ETH Zurich). 33. 6900–6912. 1 indexed citations

13.

Hyland, Stephanie L., Martin Faltys, Matthias Hüser, et al.. (2020). Early prediction of circulatory failure in the intensive care unit using machine learning. Nature Medicine. 26(3). 364–373. 233 indexed citations breakdown →

14.

Jutzeler, Catherine R., Lucie Bourguignon, Caroline Weis, et al.. (2020). Comorbidities, clinical signs and symptoms, laboratory findings, imaging features, treatment strategies, and outcomes in adult and pediatric patients with COVID-19: A systematic review and meta-analysis. Travel Medicine and Infectious Disease. 37. 101825–101825. 104 indexed citations

15.

Borgwardt, Karsten, et al.. (2020). Graph Kernels. arXiv (Cornell University). 13(5-6). 531–712. 31 indexed citations

16.

Rieck, Bastian, Matteo Togninalli, Christian Bock, et al.. (2019). Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology. arXiv (Cornell University). 10 indexed citations

17.

Moor, Michael, Max Horn, Bastian Rieck, Damian Roqueiro, & Karsten Borgwardt. (2019). Temporal Convolutional Networks and Dynamic Time Warping can Drastically Improve the Early Prediction of Sepsis.. arXiv (Cornell University). 13 indexed citations

18.

Rieck, Bastian, et al.. (2017). Clique Community Persistence: A Topological Visual Analysis Approach for Complex Networks. IEEE Transactions on Visualization and Computer Graphics. 24(1). 822–831. 31 indexed citations

19.

Rieck, Bastian & Heike Leitte. (2016). Exploring and Comparing Clusterings of Multivariate Data Sets Using Persistent Homology. Computer Graphics Forum. 35(3). 81–90. 13 indexed citations

20.

Rieck, Bastian, et al.. (2013). UNWRAPPING HIGHLY-DETAILED 3D MESHES OF ROTATIONALLY SYMMETRIC MAN-MADE OBJECTS. SHILAP Revista de lepidopterología. II-5/W1. 259–264. 13 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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