Michael Fauser

4.0k total citations · 3 hit papers
6 papers, 2.0k citations indexed

About

Michael Fauser is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michael Fauser has authored 6 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Industrial and Manufacturing Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michael Fauser's work include Anomaly Detection Techniques and Applications (4 papers), Industrial Vision Systems and Defect Detection (3 papers) and Digital Media Forensic Detection (2 papers). Michael Fauser is often cited by papers focused on Anomaly Detection Techniques and Applications (4 papers), Industrial Vision Systems and Defect Detection (3 papers) and Digital Media Forensic Detection (2 papers). Michael Fauser collaborates with scholars based in Germany and Netherlands. Michael Fauser's co-authors include David Sattlegger, Paul Bergmann, Carsten Steger, Sindy Löwe and Simone Warzel and has published in prestigious journals such as International Journal of Computer Vision, Reviews in Mathematical Physics and arXiv (Cornell University).

In The Last Decade

Michael Fauser

6 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.

MVTec AD — A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection

2019 938 citations Paul Bergmann, Michael Fauser et al. profile →
Uninformed Students: Student-Teacher Anomaly Detection With Discriminative Latent Embeddings

2020 489 citations Paul Bergmann, Michael Fauser et al. arXiv (Cornell University) profile →
The MVTec Anomaly Detection Dataset: A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection

2021 251 citations Paul Bergmann, Michael Fauser et al. International Journal of Computer Vision profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Fauser Germany	6	1.5k	638	546	430	222	6	2.0k
David Sattlegger Germany	7	1.6k 1.1×	685 1.1×	584 1.1×	448 1.0×	243 1.1×	7	2.1k
Paul Bergmann Germany	9	1.6k 1.1×	704 1.1×	634 1.2×	454 1.1×	293 1.3×	9	2.2k
Dong Gong China	17	1.0k 0.7×	112 0.2×	1.1k 2.0×	488 1.1×	107 0.5×	43	2.0k
Moussa Reda Mansour Brazil	9	1.1k 0.7×	97 0.2×	447 0.8×	599 1.4×	153 0.7×	19	1.4k
Yangfan Li China	19	246 0.2×	55 0.1×	255 0.5×	274 0.6×	168 0.8×	73	1.2k
Takehisa Yairi Japan	8	811 0.5×	43 0.1×	86 0.2×	396 0.9×	278 1.3×	19	1.1k
Abdellatif Mtibaa Tunisia	21	398 0.3×	49 0.1×	838 1.5×	145 0.3×	193 0.9×	179	1.7k
Zongze Wu China	21	397 0.3×	52 0.1×	359 0.7×	459 1.1×	554 2.5×	121	1.8k
Yuan Ping China	20	672 0.5×	48 0.1×	197 0.4×	420 1.0×	420 1.9×	134	1.4k
Shashi Phoha United States	18	232 0.2×	164 0.3×	133 0.2×	351 0.8×	90 0.4×	103	1.2k

Countries citing papers authored by Michael Fauser

Since Specialization

Citations

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

Fields of papers citing papers by Michael Fauser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Fauser

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Fauser. A scholar is included among the top collaborators of Michael Fauser 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 Michael Fauser. Michael Fauser 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:

6 of 6 papers shown

1.

Bergmann, Paul, et al.. (2022). Beyond Dents and Scratches: Logical Constraints in Unsupervised Anomaly Detection and Localization. International Journal of Computer Vision. 130(4). 947–969. 97 indexed citations

2.

Bergmann, Paul, et al.. (2021). The MVTec Anomaly Detection Dataset: A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection. International Journal of Computer Vision. 129(4). 1038–1059. 251 indexed citations breakdown →

3.

Bergmann, Paul, Michael Fauser, David Sattlegger, & Carsten Steger. (2020). Uninformed Students: Student-Teacher Anomaly Detection With Discriminative Latent Embeddings. arXiv (Cornell University). 4182–4191. 489 indexed citations breakdown →

4.

Bergmann, Paul, Michael Fauser, David Sattlegger, & Carsten Steger. (2019). MVTec AD — A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection. 9584–9592. 938 indexed citations breakdown →

5.

Bergmann, Paul, Sindy Löwe, Michael Fauser, David Sattlegger, & Carsten Steger. (2019). Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders. 372–380. 187 indexed citations

6.

Fauser, Michael & Simone Warzel. (2015). Multiparticle localization for disordered systems on continuous space via the fractional moment method. Reviews in Mathematical Physics. 27(4). 1550010–1550010. 8 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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