Oliver Rübel

2.0k total citations
44 papers, 1.1k citations indexed

About

Oliver Rübel is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Oliver Rübel has authored 44 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Computer Vision and Pattern Recognition and 8 papers in Computer Networks and Communications. Recurrent topics in Oliver Rübel's work include Data Visualization and Analytics (8 papers), Topological and Geometric Data Analysis (6 papers) and Data Management and Algorithms (6 papers). Oliver Rübel is often cited by papers focused on Data Visualization and Analytics (8 papers), Topological and Geometric Data Analysis (6 papers) and Data Management and Algorithms (6 papers). Oliver Rübel collaborates with scholars based in United States, Germany and United Kingdom. Oliver Rübel's co-authors include Benjamin P. Bowen, Kesheng Wu, E. Wes Bethel, Prabhat, Gunther H. Weber, Suren Byna, Bernd Hamann, Soile V.E. Keränen, Cris L. Luengo Hendriks and Jitendra Malik and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Analytical Chemistry.

In The Last Decade

Oliver Rübel

41 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Oliver Rübel United States 18 385 192 133 117 92 44 1.1k
Tadashi Matsumoto Japan 18 292 0.8× 356 1.9× 48 0.4× 16 0.1× 51 0.6× 160 1.5k
Michela Taufer United States 22 308 0.8× 896 4.7× 65 0.5× 39 0.3× 198 2.2× 176 1.8k
Tiejun Li China 21 615 1.6× 56 0.3× 33 0.2× 68 0.6× 71 0.8× 85 1.4k
Xiuzhen Huang United States 18 522 1.4× 128 0.7× 62 0.5× 66 0.6× 226 2.5× 50 1.5k
Ralf Steuer Germany 32 2.7k 7.0× 91 0.5× 67 0.5× 43 0.4× 204 2.2× 65 3.6k
Peter Macko Slovakia 22 64 0.2× 295 1.5× 108 0.8× 34 0.3× 89 1.0× 55 1.4k
Ramazan Aygün United States 14 78 0.2× 287 1.5× 273 2.1× 62 0.5× 138 1.5× 115 1.0k
Johannes Fuchs Germany 25 394 1.0× 47 0.2× 550 4.1× 43 0.4× 166 1.8× 70 1.7k
Chuang‐Chuang Li China 34 745 1.9× 30 0.2× 181 1.4× 33 0.3× 91 1.0× 128 3.6k
Christos Boutsidis United States 19 317 0.8× 100 0.5× 535 4.0× 29 0.2× 714 7.8× 28 1.7k

Countries citing papers authored by Oliver Rübel

Since Specialization
Citations

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

Fields of papers citing papers by Oliver Rübel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oliver Rübel

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

All Works

20 of 20 papers shown
1.
Carr, Hamish, et al.. (2024). Distributed Augmentation, Hypersweeps, and Branch Decomposition of Contour Trees for Scientific Exploration. IEEE Transactions on Visualization and Computer Graphics. 31(1). 152–162.
2.
Rübel, Oliver, Andrew Tritt, Ryan Ly, et al.. (2022). The Neurodata Without Borders ecosystem for neurophysiological data science. eLife. 11. 48 indexed citations
3.
Carr, Hamish, Oliver Rübel, & Gunther H. Weber. (2022). Distributed Hierarchical Contour Trees. eScholarship (California Digital Library). 1–10. 4 indexed citations
4.
Carr, Hamish, Oliver Rübel, Gunther H. Weber, & James Ahrens. (2021). Optimization and Augmentation for Data Parallel Contour Trees. IEEE Transactions on Visualization and Computer Graphics. 28(10). 3471–3485. 3 indexed citations
5.
Rübel, Oliver, et al.. (2020). Predicting and Comparing the Performance of Array Management Libraries. PubMed. 2020. 906–915. 4 indexed citations
6.
Tritt, Andrew, Oliver Rübel, Ben Dichter, et al.. (2019). HDMF: Hierarchical Data Modeling Framework for Modern Science Data Standards. PubMed. 2019. 165–179. 3 indexed citations
7.
Rübel, Oliver & Benjamin P. Bowen. (2017). BASTet: Shareable and Reproducible Analysis and Visualization of Mass Spectrometry Imaging Data via OpenMSI. IEEE Transactions on Visualization and Computer Graphics. 24(1). 1025–1035. 8 indexed citations
8.
Raad, Markus de, Tristan de Rond, Oliver Rübel, et al.. (2017). OpenMSI Arrayed Analysis Toolkit: Analyzing Spatially Defined Samples Using Mass Spectrometry Imaging. Analytical Chemistry. 89(11). 5818–5823. 17 indexed citations
9.
O’Brien, Travis, William D. Collins, Karthik Kashinath, et al.. (2016). Resolution dependence of precipitation statistical fidelity in hindcast simulations. Journal of Advances in Modeling Earth Systems. 8(2). 976–990. 63 indexed citations
10.
Rübel, Oliver, Maximilian E. Dougherty, Prabhat, et al.. (2016). Methods for Specifying Scientific Data Standards and Modeling Relationships with Applications to Neuroscience. Frontiers in Neuroinformatics. 10. 48–48. 9 indexed citations
11.
Rübel, Oliver, et al.. (2014). A collaborative visual analytics suite for protein folding research. Journal of Molecular Graphics and Modelling. 53. 59–71. 4 indexed citations
12.
Rübel, Oliver, C. G. R. Geddes, Min Chen, E. Cormier‐Michel, & E. Wes Bethel. (2013). Feature-Based Analysis of Plasma-Based Particle Acceleration Data. IEEE Transactions on Visualization and Computer Graphics. 20(2). 196–210. 3 indexed citations
13.
Byna, Suren, Jerry Chou, Oliver Rübel, et al.. (2012). Parallel I/O, analysis, and visualization of a trillion particle simulation. IEEE International Conference on High Performance Computing, Data, and Analytics. 1–12. 49 indexed citations
14.
Gerber, Samuel, Oliver Rübel, Peer‐Timo Bremer, Valerio Pascucci, & Ross Whitaker. (2012). Morse–Smale Regression. Journal of Computational and Graphical Statistics. 22(1). 193–214. 13 indexed citations
15.
Rübel, Oliver, et al.. (2010). Coupling visualization and data analysis for knowledge discovery from multi-dimensional scientific data. Procedia Computer Science. 1(1). 1757–1764. 1 indexed citations
16.
Rübel, Oliver, Gunther H. Weber, Min-Yu Huang, et al.. (2009). Integrating Data Clustering and Visualization for the Analysis of 3D Gene Expression Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 7(1). 64–79. 22 indexed citations
17.
Weber, Gunther H., Jitendra Malik, Mark D. Biggin, et al.. (2009). Visual Exploration of Three-Dimensional Gene Expression Using Physical Views and Linked Abstract Views. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 6(2). 296–309. 25 indexed citations
18.
Rübel, Oliver. (2008). Application of High-performance Visual Analysis Methods to Laser Wakefield Particle Acceleration Data. University of North Texas Digital Library (University of North Texas).
19.
Rübel, Oliver, Prabhat, Kesheng Wu, et al.. (2008). High performance multivariate visual data exploration for extremely large data. IEEE International Conference on High Performance Computing, Data, and Analytics. 51. 29 indexed citations
20.
Fowlkes, Charless C., Cris L. Luengo Hendriks, Soile V.E. Keränen, et al.. (2008). A Quantitative Spatiotemporal Atlas of Gene Expression in the Drosophila Blastoderm. Cell. 133(2). 364–374. 196 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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