Andreas Morel-Forster

460 total citations
4 papers, 162 citations indexed

About

Andreas Morel-Forster is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Dermatology. According to data from OpenAlex, Andreas Morel-Forster has authored 4 papers receiving a total of 162 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 2 papers in Signal Processing and 1 paper in Dermatology. Recurrent topics in Andreas Morel-Forster's work include Face recognition and analysis (4 papers), Face and Expression Recognition (3 papers) and Biometric Identification and Security (2 papers). Andreas Morel-Forster is often cited by papers focused on Face recognition and analysis (4 papers), Face and Expression Recognition (3 papers) and Biometric Identification and Security (2 papers). Andreas Morel-Forster collaborates with scholars based in Switzerland, Bangladesh and Germany. Andreas Morel-Forster's co-authors include Thomas Vetter, Bernhard Egger, Adam Kortylewski, Sandro Schönborn and Thomas M. Gerig and has published in prestigious journals such as International Journal of Computer Vision.

In The Last Decade

Andreas Morel-Forster

4 papers receiving 159 citations

Peers

Andreas Morel-Forster
Alexandros Lattas United Kingdom
Debayan Deb United States
Shant Navasardyan United States
Oran Gafni Israel
Ziqi Huang Singapore
Graham McNeill United Kingdom
Yuchao Gu Singapore
Rosalia Schneider United States
Alexandros Lattas United Kingdom
Andreas Morel-Forster
Citations per year, relative to Andreas Morel-Forster Andreas Morel-Forster (= 1×) peers Alexandros Lattas

Countries citing papers authored by Andreas Morel-Forster

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Morel-Forster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andreas Morel-Forster. 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 Andreas Morel-Forster. The network helps show where Andreas Morel-Forster may publish in the future.

Co-authorship network of co-authors of Andreas Morel-Forster

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

All Works

4 of 4 papers shown
1.
Morel-Forster, Andreas, et al.. (2023). Robust Model-based Face Reconstruction through Weakly-Supervised Outlier Segmentation. 372–381. 10 indexed citations
2.
Kortylewski, Adam, et al.. (2019). Analyzing and Reducing the Damage of Dataset Bias to Face Recognition With Synthetic Data. 2261–2268. 80 indexed citations
3.
Egger, Bernhard, et al.. (2018). Occlusion-Aware 3D Morphable Models and an Illumination Prior for Face Image Analysis. International Journal of Computer Vision. 126(12). 1269–1287. 44 indexed citations
4.
Schönborn, Sandro, Bernhard Egger, Andreas Morel-Forster, & Thomas Vetter. (2016). Markov Chain Monte Carlo for Automated Face Image Analysis. International Journal of Computer Vision. 123(2). 160–183. 28 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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