Vincent Christlein
Impact in
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- Industrial Vision Systems and Defect Detection
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- Handwritten Text Recognition Techniques
- Digital Media Forensic Detection
- Image Processing and 3D Reconstruction
- Advanced Neural Network Applications
Papers in
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- Handwritten Text Recognition Techniques 23
- Image Processing and 3D Reconstruction 16
- Digital Media Forensic Detection 9
- Image Retrieval and Classification Techniques 6
- Co-authors
- Andreas MaierChristian RießElli AngelopoulouClaudia Buerhop‐LutzFlorian GallwitzStephan BergerMathis HoffmannDavid Bernecker
In The Last Decade
Vincent Christlein
61 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Industrial and Manufacturing Engineering 272
- Computer Vision and Pattern Recognition 553
- Media Technology 157
- Renewable Energy, Sustainability and the Environment 274
- Health Informatics 16
Countries citing papers authored by Vincent Christlein
This map shows the geographic impact of Vincent Christlein'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 Vincent Christlein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincent Christlein more than expected).
Fields of papers citing papers by Vincent Christlein
This network shows the impact of papers produced by Vincent Christlein. 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 Vincent Christlein. The network helps show where Vincent Christlein may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vincent Christlein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 5 | |
| 11 | 2022 | 11 | |
| 12 | 2022 | 9 | |
| 13 | 2022 | 16 | |
| 14 | 2021 | 19 | |
| 15 | 2020 | 2 | |
| 16 | 2019 | 44 | |
| 17 | Deep Learning for Sampling from Arbitrary Probability Distributions. | 2018 | 1 |
| 18 | Sketch Layer Separation in Multi-Spectral Historical Document Images | 2017 | 2 |
| 19 | 2015 | 25 | |
| 20 | A study on features for the detection of copy-move forgeries | 2010 | 37 |
About Vincent Christlein
Vincent Christlein is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Health Informatics, Geology and Archeology, having authored 74 papers that have together received 1.3k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (23 papers), Image Processing and 3D Reconstruction (16 papers), Cryospheric studies and observations (10 papers), Digital Media Forensic Detection (9 papers), Natural Language Processing Techniques (8 papers), Cultural Heritage Materials Analysis (7 papers), Image Retrieval and Classification Techniques (6 papers) and Arctic and Antarctic ice dynamics (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (272 citations), Computer Vision and Pattern Recognition (553 citations), Media Technology (157 citations), Renewable Energy, Sustainability and the Environment (274 citations) and Health Informatics (16 citations). Vincent Christlein has collaborated with scholars based in Germany, China and Austria. Frequent co-authors include Andreas Maier, Christian Rieß, Elli Angelopoulou, Claudia Buerhop‐Lutz, Florian Gallwitz, Stephan Berger, Mathis Hoffmann, David Bernecker, Tobias Würfl and Yixing Huang. Their work appears in journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing, International Journal on Document Analysis and Recognition (IJDAR), IEEE photonics journal and Pattern Recognition.
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.