Christian Rieß

4.3k total citations · 2 hit papers
74 papers, 2.0k citations indexed

About

Christian Rieß is a scholar working on Computer Vision and Pattern Recognition, Radiation and Media Technology. According to data from OpenAlex, Christian Rieß has authored 74 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Vision and Pattern Recognition, 15 papers in Radiation and 15 papers in Media Technology. Recurrent topics in Christian Rieß's work include Digital Media Forensic Detection (24 papers), Advanced X-ray Imaging Techniques (14 papers) and Generative Adversarial Networks and Image Synthesis (12 papers). Christian Rieß is often cited by papers focused on Digital Media Forensic Detection (24 papers), Advanced X-ray Imaging Techniques (14 papers) and Generative Adversarial Networks and Image Synthesis (12 papers). Christian Rieß collaborates with scholars based in Germany, United States and Italy. Christian Rieß's co-authors include Marc Stamminger, Elli Angelopoulou, Andreas Maier, Vincent Christlein, Claudia Buerhop‐Lutz, Florian Gallwitz, Stephan Berger, Tiago Carvalho, Hélio Pedrini and Joachim Hornegger and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Christian Rieß

70 papers receiving 1.9k 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.

Exploiting Visual Artifacts to Expose Deepfakes and Face Manipulations

2019 484 citations Christian Rieß, Marc Stamminger et al. profile →
Automatic classification of defective photovoltaic module cells in electroluminescence images

2019 355 citations Vincent Christlein, Andreas Maier et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christian Rieß Germany	18	1.3k	354	312	278	244	74	2.0k
Wenming Yang China	23	1.8k 1.3×	299 0.8×	589 1.9×	41 0.1×	49 0.2×	189	2.8k
Shuang Zhao China	29	1.3k 1.0×	120 0.3×	157 0.5×	32 0.1×	127 0.5×	139	2.8k
Hu Zhu China	21	664 0.5×	149 0.4×	495 1.6×	110 0.4×	42 0.2×	83	1.8k
Yixuan Li China	21	865 0.7×	290 0.8×	313 1.0×	16 0.1×	68 0.3×	86	1.8k
Elli Angelopoulou Germany	18	1.1k 0.8×	183 0.5×	305 1.0×	48 0.2×	24 0.1×	59	1.5k
Chenglong Bao China	18	1.3k 1.0×	527 1.5×	151 0.5×	45 0.2×	28 0.1×	52	2.0k
Matthew Brown Canada	15	2.2k 1.6×	88 0.2×	249 0.8×	19 0.1×	44 0.2×	35	2.9k
Kun Xu China	26	1.2k 0.9×	180 0.5×	122 0.4×	28 0.1×	36 0.1×	124	2.2k
Yuewei Lin United States	16	660 0.5×	295 0.8×	139 0.4×	45 0.2×	14 0.1×	59	1.2k

Countries citing papers authored by Christian Rieß

Since Specialization

Citations

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

Fields of papers citing papers by Christian Rieß

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Rieß

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Rieß. A scholar is included among the top collaborators of Christian Rieß 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 Rieß. Christian Rieß 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

Rieß, Christian, et al.. (2025). EnvId: A Metric Learning Approach for Forensic Few-Shot Identification of Unseen Environments. IEEE Transactions on Information Forensics and Security. 20. 2281–2296. 1 indexed citations

Kaup, André, et al.. (2024). Forensic analysis of AI-compression traces in spatial and frequency domain. Pattern Recognition Letters. 180. 41–47. 4 indexed citations

Maier, Andreas, et al.. (2023). Bayesian Convolutional Neural Networks for Limited Data Hyperspectral Remote Sensing Image Classification. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 4 indexed citations

Maier, Anatol, et al.. (2022). Forensic License Plate Recognition with Compression-Informed Transformers. 2022 IEEE International Conference on Image Processing (ICIP). 406–410. 6 indexed citations

Maier, Andreas, et al.. (2021). Comparison of methods for sensitivity correction in Talbot–Lau computed tomography. International Journal of Computer Assisted Radiology and Surgery. 16(12). 2099–2106. 1 indexed citations

Maier, Andreas, et al.. (2019). Fast and Efficient Limited Data Hyperspectral Remote Sensing Image Classification via GMM-Based Synthetic Samples. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12(7). 2107–2120. 10 indexed citations

Horn, Florian, Pascal Meyer, Georg Pelzer, et al.. (2019). Talbot-Lau x-ray phase-contrast setup for fast scanning of large samples. Scientific Reports. 9(1). 4199–4199. 16 indexed citations

Rieß, Christian, et al.. (2019). Image Forensics from Chroma Subsampling of High-Quality JPEG Images. 101–106. 8 indexed citations

Köhler, Thomas, et al.. (2019). Toward Bridging the Simulated-to-Real Gap: Benchmarking Super-Resolution on Real Data. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(11). 1–1. 53 indexed citations

10.

Rieß, Christian, et al.. (2019). Exploiting Visual Artifacts to Expose Deepfakes and Face Manipulations. 83–92. 484 indexed citations breakdown →

11.

Aptoula, Erchan, et al.. (2018). GMM-Based Synthetic Samples for Classification of Hyperspectral Images With Limited Training Data. IEEE Geoscience and Remote Sensing Letters. 15(6). 942–946. 30 indexed citations

12.

Horn, Florian, Georg Pelzer, Jens Rieger, et al.. (2018). Implementation of a Talbot-Lau interferometer in a clinical-like c-arm setup: A feasibility study. Scientific Reports. 8(1). 2325–2325. 16 indexed citations

13.

Christlein, Vincent, et al.. (2017). Sketch Layer Separation in Multi-Spectral Historical Document Images. Max Planck Digital Library. 147–160. 2 indexed citations

14.

Maier, Andreas, et al.. (2017). Geometric primitive refinement for structured light cameras. Machine Vision and Applications. 29(2). 313–327. 4 indexed citations

15.

Horn, Florian, Georg Pelzer, Jens Rieger, et al.. (2017). Talbot‐Lau X‐ray phase contrast for tiling‐based acquisitions without reference scanning. Medical Physics. 44(5). 1886–1898. 3 indexed citations

16.

Bayer, Florian, Thomas Weber, Andreas Maier, et al.. (2014). Signal Decomposition for X-ray Dark-Field Imaging. Lecture notes in computer science. 17(Pt 1). 170–177. 5 indexed citations

17.

Maier, Andreas, Hannes Hofmann, Martin Berger, et al.. (2013). CONRAD—A software framework for cone‐beam imaging in radiology. Medical Physics. 40(11). 111914–111914. 74 indexed citations

18.

Rieß, Christian, et al.. (2011). Color constancy and non-uniform illumination: Can existing algorithms work?. 774–781. 36 indexed citations

19.

Christlein, Vincent, Christian Rieß, & Elli Angelopoulou. (2010). A study on features for the detection of copy-move forgeries. 105–116. 37 indexed citations

20.

Rieß, Christian & Elli Angelopoulou. (2009). Physics-based illuminant color estimation as an image semantics clue. 689–692. 4 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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