Christian Payer

2.5k total citations
20 papers, 640 citations indexed

About

Christian Payer is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Christian Payer has authored 20 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Biomedical Engineering and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Christian Payer's work include Forensic Anthropology and Bioarchaeology Studies (4 papers), Pulmonary Hypertension Research and Treatments (4 papers) and AI in cancer detection (3 papers). Christian Payer is often cited by papers focused on Forensic Anthropology and Bioarchaeology Studies (4 papers), Pulmonary Hypertension Research and Treatments (4 papers) and AI in cancer detection (3 papers). Christian Payer collaborates with scholars based in Austria, New Zealand and United Kingdom. Christian Payer's co-authors include Martin Urschler, Darko Štern, Horst Bischof, Gert Reiter, Karli Gillette, Anton J. Prassl, Michael Pienn, Elias Karabelas, Aurel Neic and Thomas Pock and has published in prestigious journals such as Scientific Reports, Frontiers in Physiology and Medical Image Analysis.

In The Last Decade

Christian Payer

20 papers receiving 632 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christian Payer Austria 11 213 169 138 123 111 20 640
Darko Štern Austria 17 407 1.9× 221 1.3× 300 2.2× 210 1.7× 157 1.4× 34 960
Chengwen Chu Switzerland 11 359 1.7× 319 1.9× 179 1.3× 55 0.4× 357 3.2× 13 806
Jeroen Bertels Belgium 10 114 0.5× 210 1.2× 124 0.9× 67 0.5× 127 1.1× 15 527
Márta Fidrich Hungary 7 107 0.5× 148 0.9× 33 0.2× 58 0.5× 236 2.1× 15 457
Fuli Wu China 11 82 0.4× 78 0.5× 123 0.9× 16 0.1× 71 0.6× 36 394
Yung‐Kyun Noh South Korea 13 29 0.1× 80 0.5× 84 0.6× 65 0.5× 89 0.8× 47 511
Byoung-Dai Lee South Korea 12 106 0.5× 200 1.2× 66 0.5× 82 0.7× 104 0.9× 51 501
Xiangrong Zhou Japan 12 268 1.3× 363 2.1× 155 1.1× 21 0.2× 263 2.4× 42 838
Christina Gsaxner Austria 17 291 1.4× 215 1.3× 118 0.9× 7 0.1× 235 2.1× 49 825
Krishna Subramanyan United States 9 143 0.7× 201 1.2× 26 0.2× 9 0.1× 182 1.6× 44 564

Countries citing papers authored by Christian Payer

Since Specialization
Citations

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

Fields of papers citing papers by Christian Payer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Payer

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Payer. A scholar is included among the top collaborators of Christian Payer 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 Christian Payer. Christian Payer 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.
Gillette, Karli, Matthias A. F. Gsell, Anton J. Prassl, et al.. (2023). A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs. Zenodo (CERN European Organization for Nuclear Research). 4 indexed citations
2.
Bayat, Amirhossein, Danielle F. Pace, Anjany Sekuboyina, et al.. (2022). Anatomy-Aware Inference of the 3D Standing Spine Posture from 2D Radiographs. Tomography. 8(1). 479–496. 3 indexed citations
3.
Gillette, Karli, Matthias A. F. Gsell, Anton J. Prassl, et al.. (2021). A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs. Medical Image Analysis. 71. 102080–102080. 125 indexed citations
4.
Payer, Christian, et al.. (2021). Modeling Annotation Uncertainty with Gaussian Heatmaps in Landmark Localization. 1(UNSURE2020). 1–27. 5 indexed citations
5.
Ganster, Harald, et al.. (2021). KI-Waste - Combining Image Recognition and Time Series Analysis in Refuse Sorting. Gesellschaft für Informatik (GI). 1–4. 1 indexed citations
6.
Payer, Christian, Darko Štern, Horst Bischof, & Martin Urschler. (2020). Coarse to Fine Vertebrae Localization and Segmentation with SpatialConfiguration-Net and U-Net. 124–133. 54 indexed citations
7.
Neff, Thomas, Christian Payer, Darko Štern, & Martin Urschler. (2020). Generative Adversarial Network based Synthesis for Supervised Medical Image Segmentation. TUGraz OPEN Library (Graz University of Technology). 140–145. 21 indexed citations
8.
Payer, Christian, Darko Štern, Horst Bischof, & Martin Urschler. (2020). Multi-label Whole Heart Segmentation using Anatomical Label Configurations and CNNs. TUGraz OPEN Library (Graz University of Technology). 3 indexed citations
9.
Neff, Thomas, Christian Payer, Darko Štern, & Martin Urschler. (2020). Generative Adversarial Networks to Synthetically Augment Data for Deep Learning based Image Segmentation. TUGraz OPEN Library (Graz University of Technology). 4 indexed citations
10.
Štern, Darko, Christian Payer, & Martin Urschler. (2019). Automated age estimation from MRI volumes of the hand. Medical Image Analysis. 58. 101538–101538. 50 indexed citations
11.
Payer, Christian, Darko Štern, Horst Bischof, & Martin Urschler. (2019). Integrating spatial configuration into heatmap regression based CNNs for landmark localization. Medical Image Analysis. 54. 207–219. 195 indexed citations
12.
Jacob, Joseph, Michael Pienn, Christian Payer, et al.. (2019). Normalized Vessel Volume from Quantitative Computed Tomography Predicts Survival in Idiopathic Pulmonary Fibrosis. A1040–A1040. 1 indexed citations
13.
Payer, Christian, et al.. (2019). Segmenting and tracking cell instances with cosine embeddings and recurrent hourglass networks. Medical Image Analysis. 57. 106–119. 35 indexed citations
14.
Jacob, Joseph, Michael Pienn, Christian Payer, et al.. (2019). Quantitative CT‐derived vessel metrics in idiopathic pulmonary fibrosis: A structure–function study. Respirology. 24(5). 445–452. 21 indexed citations
15.
Pienn, Michael, Caroline Burgard, Christian Payer, et al.. (2018). Healthy Lung Vessel Morphology Derived From Thoracic Computed Tomography. Frontiers in Physiology. 9. 346–346. 12 indexed citations
16.
Payer, Christian, et al.. (2018). Reducing acquisition time for MRI-based forensic age estimation. Scientific Reports. 8(1). 2063–2063. 16 indexed citations
17.
Payer, Christian, et al.. (2018). Pulmonary Lobe Segmentation in CT Images using Alpha-Expansion. 387–394. 9 indexed citations
18.
Štern, Darko, et al.. (2018). Automatic Age Estimation and Majority Age Classification From Multi-Factorial MRI Data. IEEE Journal of Biomedical and Health Informatics. 23(4). 1392–1403. 53 indexed citations
19.
Payer, Christian, Thomas Neff, Horst Bischof, Martin Urschler, & Darko Štern. (2017). Simultaneous Multi-Person Detection and Single-Person Pose Estimation With a Single Heatmap Regression Network. 3 indexed citations
20.
Payer, Christian, Michael Pienn, Zoltán Bálint, et al.. (2016). Automated integer programming based separation of arteries and veins from thoracic CT images. Medical Image Analysis. 34. 109–122. 25 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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