Christoph Haarburger

1.4k total citations · 1 hit paper
16 papers, 676 citations indexed

About

Christoph Haarburger is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Christoph Haarburger has authored 16 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Christoph Haarburger's work include Radiomics and Machine Learning in Medical Imaging (8 papers), Generative Adversarial Networks and Image Synthesis (4 papers) and Artificial Intelligence in Healthcare and Education (4 papers). Christoph Haarburger is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), Generative Adversarial Networks and Image Synthesis (4 papers) and Artificial Intelligence in Healthcare and Education (4 papers). Christoph Haarburger collaborates with scholars based in Germany, United Kingdom and Netherlands. Christoph Haarburger's co-authors include Daniel Truhn, Christiane Kühl, Dorit Merhof, Gustav Müller‐Franzes, Simone Schrading, Hannah Schneider, Sven Nebelung, Tianyu Han, Firas Khader and Jakob Nikolas Kather and has published in prestigious journals such as Nature Communications, Scientific Reports and Radiology.

In The Last Decade

Christoph Haarburger

16 papers receiving 666 citations

Hit Papers

Denoising diffusion probabilistic models for 3D medical i... 2023 2026 2024 2023 40 80 120
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.

  1. Denoising diffusion probabilistic models for 3D medical image generation
    2023 121 citations Firas Khader, Gustav Müller‐Franzes et al. Scientific Reports profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christoph Haarburger Germany 11 446 310 105 93 80 16 676
Gustav Müller‐Franzes Germany 11 316 0.7× 239 0.8× 89 0.8× 73 0.8× 99 1.2× 22 567
Gopichandh Danala United States 11 447 1.0× 342 1.1× 88 0.8× 51 0.5× 53 0.7× 35 654
Leona Katsuta Japan 11 374 0.8× 298 1.0× 61 0.6× 67 0.7× 42 0.5× 20 473
Ziba Gandomkar Australia 14 405 0.9× 400 1.3× 129 1.2× 52 0.6× 58 0.7× 75 727
Siri Willems Belgium 11 342 0.8× 158 0.5× 47 0.4× 107 1.2× 75 0.9× 14 616
Avi Ben-Cohen Israel 8 262 0.6× 209 0.7× 100 1.0× 118 1.3× 79 1.0× 10 594
Tahir Mahmood South Korea 13 342 0.8× 232 0.7× 192 1.8× 77 0.8× 35 0.4× 30 620
Matteo Interlenghi Italy 15 577 1.3× 280 0.9× 76 0.7× 149 1.6× 118 1.5× 29 986
Zhanhao Mo China 13 436 1.0× 271 0.9× 103 1.0× 49 0.5× 98 1.2× 28 805
Bas H. M. van der Velden Netherlands 11 501 1.1× 438 1.4× 94 0.9× 71 0.8× 167 2.1× 27 972

Countries citing papers authored by Christoph Haarburger

Since Specialization
Citations

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

Fields of papers citing papers by Christoph Haarburger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christoph Haarburger

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

All Works

16 of 16 papers shown
1.
Han, Tianyu, Sven Nebelung, Firas Khader, et al.. (2024). Medical large language models are susceptible to targeted misinformation attacks. npj Digital Medicine. 7(1). 288–288. 17 indexed citations
2.
Khader, Firas, Gustav Müller‐Franzes, Soroosh Tayebi Arasteh, et al.. (2023). Denoising diffusion probabilistic models for 3D medical image generation. Scientific Reports. 13(1). 7303–7303. 121 indexed citations breakdown →
3.
Khader, Firas, Gustav Müller‐Franzes, Tianyu Han, et al.. (2023). Multimodal Deep Learning for Integrating Chest Radiographs and Clinical Parameters: A Case for Transformers. Radiology. 309(1). e230806–e230806. 39 indexed citations
4.
Müller‐Franzes, Gustav, Jan Niehues, Firas Khader, et al.. (2023). A multimodal comparison of latent denoising diffusion probabilistic models and generative adversarial networks for medical image synthesis. Scientific Reports. 13(1). 12098–12098. 79 indexed citations
5.
Khader, Firas, Jakob Nikolas Kather, Gustav Müller‐Franzes, et al.. (2023). Medical transformer for multimodal survival prediction in intensive care: integration of imaging and non-imaging data. Scientific Reports. 13(1). 10666–10666. 21 indexed citations
6.
Han, Tianyu, Jakob Nikolas Kather, Markus Zimmermann, et al.. (2022). Image prediction of disease progression for osteoarthritis by style-based manifold extrapolation. Nature Machine Intelligence. 4(11). 1029–1039. 14 indexed citations
7.
Müller‐Franzes, Gustav, Sven Nebelung, Justus Schock, et al.. (2022). Reliability as a Precondition for Trust—Segmentation Reliability Analysis of Radiomic Features Improves Survival Prediction. Diagnostics. 12(2). 247–247. 4 indexed citations
8.
Khader, Firas, Christoph Haarburger, Marcel N. Menke, et al.. (2022). Elevating Fundoscopic Evaluation to Expert Level - Automatic Glaucoma Detection Using Data from the Airogs Challenge. 1–4. 3 indexed citations
9.
Han, Tianyu, Sven Nebelung, Markus Zimmermann, et al.. (2021). Advancing diagnostic performance and clinical usability of neural networks via adversarial training and dual batch normalization. Nature Communications. 12(1). 4315–4315. 24 indexed citations
10.
Thüring, Johannes, Oliver Rippel, Christoph Haarburger, et al.. (2020). Multiphase CT-based prediction of Child-Pugh classification: a machine learning approach. European Radiology Experimental. 4(1). 20–20. 10 indexed citations
11.
Haarburger, Christoph, Gustav Müller‐Franzes, Leon Weninger, et al.. (2020). Radiomics feature reproducibility under inter-rater variability in segmentations of CT images. Scientific Reports. 10(1). 12688–12688. 92 indexed citations
12.
Han, Tianyu, Sven Nebelung, Christoph Haarburger, et al.. (2020). Breaking medical data sharing boundaries by using synthesized radiographs. Science Advances. 6(49). 35 indexed citations
13.
Weninger, Leon, Christoph Haarburger, & Dorit Merhof. (2019). Robustness of Radiomics for Survival Prediction of Brain Tumor Patients Depending on Resection Status. Frontiers in Computational Neuroscience. 13. 73–73. 17 indexed citations
14.
Haarburger, Christoph, et al.. (2019). Multiparametric Magnetic Resonance Image Synthesis using Generative Adversarial Networks. Eurographics. 7 indexed citations
15.
Truhn, Daniel, Simone Schrading, Christoph Haarburger, et al.. (2018). Radiomic versus Convolutional Neural Networks Analysis for Classification of Contrast-enhancing Lesions at Multiparametric Breast MRI. Radiology. 290(2). 290–297. 191 indexed citations
16.
Dellimore, Kiran, Christoph Haarburger, J. van de Laar, et al.. (2016). Towards an algorithm for automatic accelerometer-based pulse presence detection during cardiopulmonary resuscitation. PubMed. 60. 3531–3534. 2 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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