Alexander Freytag

1.2k total citations
15 papers, 283 citations indexed

About

Alexander Freytag is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biophysics. According to data from OpenAlex, Alexander Freytag has authored 15 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Biophysics. Recurrent topics in Alexander Freytag's work include Anomaly Detection Techniques and Applications (3 papers), Machine Learning and Algorithms (3 papers) and Advanced Neural Network Applications (3 papers). Alexander Freytag is often cited by papers focused on Anomaly Detection Techniques and Applications (3 papers), Machine Learning and Algorithms (3 papers) and Advanced Neural Network Applications (3 papers). Alexander Freytag collaborates with scholars based in Germany, United States and Austria. Alexander Freytag's co-authors include Erik Rodner, Joachim Denzler, Paul Bodesheim, C. E. Goering, Michael Kemmler, Constantin Seibold, Rainer Stiefelhagen, Christoph Käding, Kevin Armstrong and Qutaiba A. Tawfic and has published in prestigious journals such as Scientific Reports, International Journal of Computer Vision and Brazilian Journal of Anesthesiology (English Edition).

In The Last Decade

Alexander Freytag

14 papers receiving 277 citations

Peers

Alexander Freytag
Mahdyar Ravanbakhsh Germany
Zunaira Rauf Pakistan
Kwabena Adu Ghana
Shuli Cheng China
Gurram Sunitha India
Xiaolin Zhang China
Pau Panareda Busto Germany
Mahdyar Ravanbakhsh Germany
Alexander Freytag
Citations per year, relative to Alexander Freytag Alexander Freytag (= 1×) peers Mahdyar Ravanbakhsh

Countries citing papers authored by Alexander Freytag

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Freytag

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Freytag

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

All Works

15 of 15 papers shown
1.
2.
Ditscheid, Bianka, et al.. (2024). Gut und kosteneffektiv palliativ versorgt in Westfalen-Lippe – aber warum? Qualitative Ergebnisse innerhalb einer Mixed-Methods Studie. Zeitschrift für Palliativmedizin. 25(5). e50–e50. 1 indexed citations
3.
Freytag, Alexander, et al.. (2023). Live 4D-OCT denoising with self-supervised deep learning. Scientific Reports. 13(1). 5760–5760. 10 indexed citations
4.
Reiß, Simon, Constantin Seibold, Alexander Freytag, Erik Rodner, & Rainer Stiefelhagen. (2023). Decoupled Semantic Prototypes enable learning from diverse annotation types for semi-weakly segmentation in expert-driven domains. 15495–15506. 4 indexed citations
5.
Atzori, Manfredo, et al.. (2023). Intra-operative brain tumor detection with deep learning-optimized hyperspectral imaging. Research Padua Archive (University of Padua). 5–5. 8 indexed citations
6.
Tawfic, Qutaiba A., Alexander Freytag, & Kevin Armstrong. (2021). A survey of acute pain service in Canadian teaching hospitals. Brazilian Journal of Anesthesiology (English Edition). 71(2). 116–122. 5 indexed citations
7.
Seibold, Constantin, et al.. (2021). Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation. 9527–9537. 52 indexed citations
8.
Käding, Christoph, et al.. (2018). Active Learning for Regression Tasks with Expected Model Output Changes.. British Machine Vision Conference. 103. 8 indexed citations
9.
Käding, Christoph, Erik Rodner, Alexander Freytag, & Joachim Denzler. (2016). Watch, Ask, Learn, and Improve: a lifelong learning cycle for visual recognition.. The European Symposium on Artificial Neural Networks. 4 indexed citations
10.
Rodner, Erik, et al.. (2016). Large-Scale Gaussian Process Inference with Generalized Histogram Intersection Kernels for Visual Recognition Tasks. International Journal of Computer Vision. 121(2). 253–280. 4 indexed citations
11.
Bodesheim, Paul, Alexander Freytag, Erik Rodner, & Joachim Denzler. (2015). Local Novelty Detection in Multi-class Recognition Problems. 3. 813–820. 24 indexed citations
12.
Käding, Christoph, Alexander Freytag, Erik Rodner, Paul Bodesheim, & Joachim Denzler. (2015). Active learning and discovery of object categories in the presence of unnameable instances. 4343–4352. 30 indexed citations
13.
Goering, C. E., Erik Rodner, Alexander Freytag, & Joachim Denzler. (2014). Nonparametric Part Transfer for Fine-Grained Recognition. 2489–2496. 63 indexed citations
14.
Bodesheim, Paul, Alexander Freytag, Erik Rodner, Michael Kemmler, & Joachim Denzler. (2013). Kernel Null Space Methods for Novelty Detection. 3374–3381. 67 indexed citations
15.
Bodesheim, Paul, Erik Rodner, Alexander Freytag, & Joachim Denzler. (2012). Divergence-Based One-Class Classification Using Gaussian Processes. 50.1–50.11. 3 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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