Marius Kloft
Impact in
- Computational Mathematics top 2%
- Artificial Intelligence top 0.5%
- Anomaly Detection Techniques and Applications
- Domain Adaptation and Few-Shot Learning
- Machine Learning and ELM
- Advanced Clustering Algorithms Research
Papers in
-
- Anomaly Detection Techniques and Applications 20
- Machine Learning and Algorithms 16
- Domain Adaptation and Few-Shot Learning 13
- Machine Learning and ELM 8
- Machine Learning and Data Classification 8
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- Face and Expression Recognition 19
- Co-authors
- Pavel Laskov (5 shared papers)Robert A. Vandermeulen (6 shared papers)Lukas Ruff (5 shared papers)Lucas Deecke (2 shared papers)Alexander Binder (8 shared papers)Xinwang Liu (5 shared papers)Ulf Brefeld (7 shared papers)Shoaib Ahmed Siddiqui (1 shared paper)
- Journals
- PLoS ONE (5 papers)IEEE Transactions on Neural Networks and Learning Systems (5 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (4 papers)Journal of Machine Learning Research (2 papers)Chemie Ingenieur Technik (2 papers)
- Partner nations
- GermanyUnited StatesSouth Korea
In The Last Decade
Marius Kloft
92 papers receiving 3.4k citations
Marius Kloft's Hit Papers
Peers
Comparison fields: 5 of 147
- Computational Mathematics 56
- Artificial Intelligence 2.1k
- Computer Vision and Pattern Recognition 1.2k
- Computer Science Applications 240
- Signal Processing 379
Countries citing papers authored by Marius Kloft
This map shows the geographic impact of Marius Kloft'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 Marius Kloft with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marius Kloft more than expected).
Fields of papers citing papers by Marius Kloft
This network shows the impact of papers produced by Marius Kloft. 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 Marius Kloft. The network helps show where Marius Kloft may publish in the future.
Co-authors
The 25 scholars most cited alongside Marius Kloft, 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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep One-Class Classification Hit paper breakdown → | 2018 | 538 |
| 2 | 2011 | 341 | |
| 3 | 2014 | 251 | |
| 4 | 2019 | 249 | |
| 5 | Efficient and Effective Regularized Incomplete Multi-view Clustering Hit paper breakdown → | 2020 | 237 |
| 6 | Machine Learning in Chemical Engineering: A Perspective Hit paper breakdown → | 2021 | 186 |
| 7 | Efficient and Accurate Lp-Norm Multiple Kernel Learning | 2009 | 174 |
| 8 | 2019 | 132 | |
| 9 | 2021 | 104 | |
| 10 | 2018 | 92 | |
| 11 | Online Anomaly Detection under Adversarial Impact | 2010 | 73 |
| 12 | 2020 | 72 | |
| 13 | 2009 | 61 | |
| 14 | Learning Kernels Using Local Rademacher Complexity | 2013 | 57 |
| 15 | 2015 | 51 | |
| 16 | 2016 | 50 | |
| 17 | 2010 | 45 | |
| 18 | Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative Network | 2019 | 44 |
| 19 | 2021 | 40 | |
| 20 | 2019 | 39 |
About Marius Kloft
Marius Kloft is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Molecular Biology and Control and Systems Engineering, having authored 97 papers that have together received 3.5k indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (20 papers), Face and Expression Recognition (19 papers), Machine Learning and Algorithms (16 papers), Domain Adaptation and Few-Shot Learning (13 papers), Network Security and Intrusion Detection (12 papers), Sparse and Compressive Sensing Techniques (9 papers), Machine Learning and ELM (8 papers) and Machine Learning and Data Classification (8 papers). The work is most often cited by research in Computational Mathematics (56 citations), Artificial Intelligence (2.1k citations), Computer Vision and Pattern Recognition (1.2k citations), Computer Science Applications (240 citations) and Signal Processing (379 citations). Marius Kloft has collaborated with scholars based in Germany, United States and South Korea. Frequent co-authors include Pavel Laskov, Robert A. Vandermeulen, Lukas Ruff, Lucas Deecke, Alexander Binder, Xinwang Liu, Ulf Brefeld, Shoaib Ahmed Siddiqui, Emmanuel Müller and Niels Pinkwart. Their work appears in journals such as PLoS ONE, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Machine Learning Research and Chemie Ingenieur Technik.
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.