Patrick Schramowski
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 5%
- Topic Modeling
- Explainable Artificial Intelligence (XAI)
- Adversarial Robustness in Machine Learning
- Natural Language Processing Techniques
Papers in
-
- Explainable Artificial Intelligence (XAI) 7
- Natural Language Processing Techniques 6
- Topic Modeling 6
- Adversarial Robustness in Machine Learning 4
-
- Generative Adversarial Networks and Image Synthesis 4
- Advanced Neural Network Applications 3
- Multimodal Machine Learning Applications 3
- Co-authors
- Kristian Kersting (27 shared papers)Constantin A. Rothkopf (4 shared papers)Cigdem Turan (2 shared papers)Felix Friedrich (5 shared papers)Anna Brugger (3 shared papers)Anne‐Katrin Mahlein (3 shared papers)Ulrike Steiner (2 shared papers)Stefan Paulus (2 shared papers)
- Journals
- Nature Machine Intelligence (2 papers)Journal of Artificial Intelligence Research (2 papers)Plant Pathology (1 paper)Microscopy and Microanalysis (1 paper)Remote Sensing (1 paper)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Patrick Schramowski
24 papers receiving 556 citations
Patrick Schramowski's Hit Papers
Peers
Comparison fields: 5 of 110
- Health Informatics 38
- Artificial Intelligence 251
- Computer Vision and Pattern Recognition 156
- Safety Research 53
- Computer Graphics and Computer-Aided Design 19
Countries citing papers authored by Patrick Schramowski
This map shows the geographic impact of Patrick Schramowski'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 Patrick Schramowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Schramowski more than expected).
Fields of papers citing papers by Patrick Schramowski
This network shows the impact of papers produced by Patrick Schramowski. 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 Patrick Schramowski. The network helps show where Patrick Schramowski may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick Schramowski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Large pre-trained language models contain human-like biases of what is right and wrong to do Hit paper breakdown → | 2022 | 184 |
| 2 | 2023 | 84 | |
| 3 | 2019 | 32 | |
| 4 | 2019 | 32 | |
| 5 | 2022 | 30 | |
| 6 | 2024 | 27 | |
| 7 | 2024 | 22 | |
| 8 | 2021 | 22 | |
| 9 | 2020 | 21 | |
| 10 | 2023 | 19 | |
| 11 | 2023 | 18 | |
| 12 | 2021 | 14 | |
| 13 | 2023 | 11 | |
| 14 | 2023 | 9 | |
| 15 | 2022 | 8 | |
| 16 | Right for the Wrong Scientific Reasons: Revising Deep Networks by Interacting with their Explanations. | 2020 | 7 |
| 17 | 2024 | 7 | |
| 18 | Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks | 2020 | 6 |
| 19 | 2023 | 4 | |
| 20 | 2022 | 4 |
About Patrick Schramowski
Patrick Schramowski is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Sociology and Political Science, Cognitive Neuroscience and Plant Science, having authored 27 papers that have together received 570 indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (7 papers), Natural Language Processing Techniques (6 papers), Topic Modeling (6 papers), Adversarial Robustness in Machine Learning (4 papers), Generative Adversarial Networks and Image Synthesis (4 papers), Advanced Neural Network Applications (3 papers), Multimodal Machine Learning Applications (3 papers) and Misinformation and Its Impacts (3 papers). The work is most often cited by research in Health Informatics (38 citations), Artificial Intelligence (251 citations), Computer Vision and Pattern Recognition (156 citations), Safety Research (53 citations) and Computer Graphics and Computer-Aided Design (19 citations). Patrick Schramowski has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Kristian Kersting, Constantin A. Rothkopf, Cigdem Turan, Felix Friedrich, Anna Brugger, Anne‐Katrin Mahlein, Ulrike Steiner, Stefan Paulus, F. Friedrich and Matheus Thomas Kuśka. Their work appears in journals such as Nature Machine Intelligence, Journal of Artificial Intelligence Research, Plant Pathology, Microscopy and Microanalysis and Remote Sensing.
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.