Christoph Bernau

733 total citations
22 papers, 482 citations indexed

About

Christoph Bernau is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Christoph Bernau has authored 22 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Pulmonary and Respiratory Medicine and 5 papers in Artificial Intelligence. Recurrent topics in Christoph Bernau's work include Gene expression and cancer classification (11 papers), Molecular Biology Techniques and Applications (4 papers) and Machine Learning and Data Classification (3 papers). Christoph Bernau is often cited by papers focused on Gene expression and cancer classification (11 papers), Molecular Biology Techniques and Applications (4 papers) and Machine Learning and Data Classification (3 papers). Christoph Bernau collaborates with scholars based in Germany, United States and Netherlands. Christoph Bernau's co-authors include Anne‐Laure Boulesteix, Levi Waldron, Giovanni Parmigiani, Markus Riester, Curtis Huttenhower, Nina Lummel, Jennifer Linn, Roman Hornung, Lorenzo Trippa and Christian Opherk and has published in prestigious journals such as Bioinformatics, JNCI Journal of the National Cancer Institute and Biometrics.

In The Last Decade

Christoph Bernau

21 papers receiving 473 citations

Peers

Christoph Bernau
Claire M. Thornton United Kingdom
Christoph Bernau
Citations per year, relative to Christoph Bernau Christoph Bernau (= 1×) peers Claire M. Thornton

Countries citing papers authored by Christoph Bernau

Since Specialization
Citations

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

Fields of papers citing papers by Christoph Bernau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christoph Bernau

This figure shows the co-authorship network connecting the top 25 collaborators of Christoph Bernau. A scholar is included among the top collaborators of Christoph Bernau 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 Christoph Bernau. Christoph Bernau 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.
Czihal, Michael, Christian Lottspeich, Christoph Bernau, et al.. (2021). A Diagnostic Algorithm Based on a Simple Clinical Prediction Rule for the Diagnosis of Cranial Giant Cell Arteritis. Journal of Clinical Medicine. 10(6). 1163–1163. 5 indexed citations
2.
Czihal, Michael, Christoph Bernau, Max Seidensticker, et al.. (2020). Embolic Protection in Complex Femoropopliteal Interventions: Safety, Efficacy and Predictors of Filter Macroembolization. CardioVascular and Interventional Radiology. 44(5). 700–708. 2 indexed citations
3.
Czihal, Michael, Christoph Bernau, Christian Lottspeich, et al.. (2019). Ocular ischaemic complications in giant cell arteritis: CHADS2-score predicts risk of permanent visual impairment.. PubMed. 37 Suppl 117(2). 61–64. 13 indexed citations
4.
Zhang, Yuqing, Christoph Bernau, Giovanni Parmigiani, & Levi Waldron. (2018). The impact of different sources of heterogeneity on loss of accuracy from genomic prediction models. Biostatistics. 21(2). 253–268. 14 indexed citations
5.
Seibold, Heidi, Christoph Bernau, Anne‐Laure Boulesteix, & Riccardo De Bin. (2017). On the choice and influence of the number of boosting steps for high-dimensional linear Cox-models. Computational Statistics. 33(3). 1195–1215. 17 indexed citations
6.
Seibold, Heidi, Christoph Bernau, Anne‐Laure Boulesteix, & Riccardo De Bin. (2016). On the choice and influence of the number of boosting steps. Zurich Open Repository and Archive (University of Zurich). 1–34. 3 indexed citations
7.
Hornung, Roman, David Causeur, Christoph Bernau, & Anne‐Laure Boulesteix. (2016). Improving cross-study prediction through addon batch effect adjustment or addon normalization. Bioinformatics. 33(3). 397–404. 22 indexed citations
8.
Brayford, D., et al.. (2016). Node level power measurements on a petaflop system. 1. 1–6.
9.
Hornung, Roman, Christoph Bernau, Caroline Truntzer, et al.. (2015). A measure of the impact of CV incompleteness on prediction error estimation with application to PCA and normalization. BMC Medical Research Methodology. 15(1). 95–95. 16 indexed citations
10.
Czihal, Michael, et al.. (2015). Impact of cranial and axillary/subclavian artery involvement by color duplex sonography on response to treatment in giant cell arteritis. Journal of Vascular Surgery. 61(5). 1285–1291. 38 indexed citations
11.
Waldron, Levi, Benjamin Haibe‐Kains, Aedín C. Culhane, et al.. (2014). Comparative Meta-analysis of Prognostic Gene Signatures for Late-Stage Ovarian Cancer. JNCI Journal of the National Cancer Institute. 106(5). 87 indexed citations
12.
Lummel, Nina, et al.. (2014). Prevalence of superficial siderosis following singular, acute aneurysmal subarachnoid hemorrhage. Neuroradiology. 57(4). 349–356. 17 indexed citations
13.
Bernau, Christoph, Markus Riester, Anne‐Laure Boulesteix, et al.. (2014). Cross-study validation for the assessment of prediction algorithms. Bioinformatics. 30(12). i105–i112. 59 indexed citations
14.
Hornung, Roman, Christoph Bernau, Caroline Truntzer, Thomas Städler, & Anne‐Laure Boulesteix. (2014). Full versus incomplete cross-validation: measuring the impact of imperfect separation between training and test sets in prediction error estimation. Open access LMU (Ludwid Maxmilian's Universitat Munchen). 5 indexed citations
15.
Lummel, Nina, Gernot Schulte‐Altedorneburg, Christoph Bernau, et al.. (2013). Hyperattenuated Intracerebral Lesions after Mechanical Recanalization in Acute Stroke. American Journal of Neuroradiology. 35(2). 345–351. 69 indexed citations
16.
Bernau, Christoph, Thomas Augustin, & Anne‐Laure Boulesteix. (2013). Correcting the Optimal Resampling‐Based Error Rate by Estimating the Error Rate of Wrapper Algorithms. Biometrics. 69(3). 693–702. 16 indexed citations
17.
Goñi, Ramón, Magnus Lundborg, Christoph Bernau, et al.. (2013). Standards for data handling. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
18.
Boulesteix, Anne‐Laure, Jochen Knaus, & Christoph Bernau. (2012). Application of Microarray Analysis on Computer Cluster and Cloud Platforms. Methods of Information in Medicine. 52(1). 65–71. 3 indexed citations
19.
Bernau, Christoph, Thomas Augustin, & Anne‐Laure Boulesteix. (2011). Correcting the optimally selected resampling-based error rate: A smooth analytical alternative to nested cross-validation. Open access LMU (Ludwid Maxmilian's Universitat Munchen). 2 indexed citations
20.
Bernau, Christoph & Anne‐Laure Boulesteix. (2010). Variable Selection and Parameter Tuning in High-Dimensional Prediction. Open access LMU (Ludwid Maxmilian's Universitat Munchen). 1 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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