Manuel Brack
Impact in
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- Generative Adversarial Networks and Image Synthesis
- Digital Media Forensic Detection
- Safety Research top 10%
- Ethics and Social Impacts of AI
Papers in
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- Generative Adversarial Networks and Image Synthesis 6
- Multimodal Machine Learning Applications 1
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- Topic Modeling 4
- Natural Language Processing Techniques 3
- Privacy-Preserving Technologies in Data 1
- Adversarial Robustness in Machine Learning 1
- Co-authors
- Kristian Kersting (13 shared papers)Patrick Schramowski (13 shared papers)Dominik Hintersdorf (3 shared papers)Lukas Struppek (3 shared papers)Alexandra Sasha Luccioni (1 shared paper)F. Friedrich (1 shared paper)Samuel Weinbach (3 shared papers)Ajinkya Kale (1 shared paper)
- Journals
- Journal of Artificial Intelligence Research (1 paper)neural information processing systems (3 papers)Conference on Empirical Methods in Natural Language Processing (EMNLP) (2 papers)arXiv (Cornell University) (1 paper)IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings (2 papers)
- Partner nations
- GermanyUnited States
In The Last Decade
Manuel Brack
10 papers receiving 226 citations
Peers
Comparison fields: 5 of 21
- Computer Vision and Pattern Recognition 142
- Safety Research 40
- Artificial Intelligence 77
- Health Informatics 3
- Media Technology 4
Countries citing papers authored by Manuel Brack
This map shows the geographic impact of Manuel Brack'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 Manuel Brack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuel Brack more than expected).
Fields of papers citing papers by Manuel Brack
This network shows the impact of papers produced by Manuel Brack. 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 Manuel Brack. The network helps show where Manuel Brack may publish in the future.
Co-authors
The 15 scholars most cited alongside Manuel Brack, 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 | 2023 | 117 | |
| 2 | 2024 | 39 | |
| 3 | 2024 | 29 | |
| 4 | 2023 | 14 | |
| 5 | 2023 | 10 | |
| 6 | 2024 | 9 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 3 | |
| 9 | 2025 | 3 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 0 | |
| 12 | 2025 | 0 | |
| 13 | 2025 | 0 |
About Manuel Brack
Manuel Brack is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Safety Research, Gender Studies and Nuclear Energy and Engineering, having authored 13 papers that have together received 230 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (6 papers), Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers), Ethics and Social Impacts of AI (2 papers), Privacy-Preserving Technologies in Data (1 paper), Media, Gender, and Advertising (1 paper), Adversarial Robustness in Machine Learning (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (142 citations), Safety Research (40 citations), Artificial Intelligence (77 citations), Health Informatics (3 citations) and Media Technology (4 citations). Manuel Brack has collaborated with scholars based in Germany and United States. Frequent co-authors include Kristian Kersting, Patrick Schramowski, Dominik Hintersdorf, Lukas Struppek, Alexandra Sasha Luccioni, F. Friedrich, Samuel Weinbach, Ajinkya Kale, Rafet Sifa and Lucie Flek. Their work appears in journals such as Journal of Artificial Intelligence Research, neural information processing systems, Conference on Empirical Methods in Natural Language Processing (EMNLP), arXiv (Cornell University) and IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings.
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.