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 17
- Machine Learning and Algorithms 11
- Domain Adaptation and Few-Shot Learning 9
- Machine Learning and ELM 6
- Machine Learning and Data Classification 6
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- Face and Expression Recognition 18
- Co-authors
- Pavel Laskov (5 shared papers)Robert A. Vandermeulen (5 shared papers)Xinwang Liu (5 shared papers)Alexander Binder (8 shared papers)Lukas Ruff (4 shared papers)Shoaib Ahmed Siddiqui (1 shared paper)Lucas Deecke (1 shared paper)Emmanuel Müller (1 shared paper)
- Journals
- IEEE Transactions on Neural Networks and Learning Systems (5 papers)PLoS ONE (5 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (4 papers)Machine Learning (2 papers)Industrial & Engineering Chemistry Research (2 papers)
- Partner nations
- GermanyUnited StatesChina
In The Last Decade
Marius Kloft
81 papers receiving 2.9k citations
Marius Kloft's Hit Papers
Peers
Comparison fields: 5 of 144
- Computational Mathematics 55
- Artificial Intelligence 1.7k
- Computer Vision and Pattern Recognition 998
- Computer Science Applications 203
- Signal Processing 325
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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep One-Class Classification Hit paper breakdown → | 2018 | 484 |
| 2 | 2011 | 301 | |
| 3 | 2019 | 247 | |
| 4 | Efficient and Effective Regularized Incomplete Multi-view Clustering Hit paper breakdown → | 2020 | 228 |
| 5 | 2014 | 213 | |
| 6 | 2021 | 157 | |
| 7 | Efficient and Accurate Lp-Norm Multiple Kernel Learning | 2009 | 151 |
| 8 | 2021 | 100 | |
| 9 | 2018 | 80 | |
| 10 | 2020 | 68 | |
| 11 | Online Anomaly Detection under Adversarial Impact | 2010 | 64 |
| 12 | Learning Kernels Using Local Rademacher Complexity | 2013 | 53 |
| 13 | 2009 | 49 | |
| 14 | 2016 | 47 | |
| 15 | 2010 | 43 | |
| 16 | 2015 | 43 | |
| 17 | Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative Network | 2019 | 39 |
| 18 | 2021 | 39 | |
| 19 | 2019 | 34 | |
| 20 | 2008 | 30 |
About Marius Kloft
Marius Kloft is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Control and Systems Engineering and Molecular Biology, having authored 86 papers that have together received 3.0k indexed citations. Recurring topics across this work include Face and Expression Recognition (18 papers), Anomaly Detection Techniques and Applications (17 papers), Network Security and Intrusion Detection (11 papers), Machine Learning and Algorithms (11 papers), Domain Adaptation and Few-Shot Learning (9 papers), Sparse and Compressive Sensing Techniques (7 papers), Machine Learning and ELM (6 papers) and Machine Learning and Data Classification (6 papers). The work is most often cited by research in Computational Mathematics (55 citations), Artificial Intelligence (1.7k citations), Computer Vision and Pattern Recognition (998 citations), Computer Science Applications (203 citations) and Signal Processing (325 citations). Marius Kloft has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Pavel Laskov, Robert A. Vandermeulen, Xinwang Liu, Alexander Binder, Lukas Ruff, Shoaib Ahmed Siddiqui, Lucas Deecke, Emmanuel Müller, En Zhu and Niels Pinkwart. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence, Machine Learning and Industrial & Engineering Chemistry Research.
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.