Rüdiger Brause
Impact in
- Artificial Intelligence top 5%
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
- Neural Networks and Applications
- Accounting top 10%
- Financial Distress and Bankruptcy Prediction
Papers in
-
- Neural Networks and Applications 15
- Fuzzy Logic and Control Systems 4
- Machine Learning in Healthcare 2
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- Control Systems and Identification 4
- Fault Detection and Control Systems 3
- Co-authors
- Martin Hepp (1 shared paper)E. Hanisch (6 shared papers)Friedrich Fraundorfer (1 shared paper)Katharina Holzer (1 shared paper)Nikolaos Bourbakis (1 shared paper)Mohammad Mohammadi Amiri (1 shared paper)C. Alexopoulos (1 shared paper)A. Encke (1 shared paper)
- Journals
- Neural Networks (2 papers)Computer Methods and Programs in Biomedicine (1 paper)Neural Computing and Applications (1 paper)Journal of Intensive Care Medicine (1 paper)Journal of Intelligent & Fuzzy Systems (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Rüdiger Brause
32 papers receiving 301 citations
Peers
Comparison fields: 5 of 87
- Artificial Intelligence 260
- Accounting 53
- Information Systems 94
- Media Technology 27
- Signal Processing 28
Countries citing papers authored by Rüdiger Brause
This map shows the geographic impact of Rüdiger Brause'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 Rüdiger Brause with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rüdiger Brause more than expected).
Fields of papers citing papers by Rüdiger Brause
This network shows the impact of papers produced by Rüdiger Brause. 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 Rüdiger Brause. The network helps show where Rüdiger Brause may publish in the future.
Co-authors
The 11 scholars most cited alongside Rüdiger Brause, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 240 | |
| 2 | 2011 | 15 | |
| 3 | 2003 | 11 | |
| 4 | 1991 | 9 | |
| 5 | A Neuro-Fuzzy Approach as Medical Diagnostic Interface | 2000 | 7 |
| 6 | 2004 | 7 | |
| 7 | 1999 | 6 | |
| 8 | 2002 | 6 | |
| 9 | 2008 | 5 | |
| 10 | 1995 | 5 | |
| 11 | 1995 | 4 | |
| 12 | Performance and storage requirements of topology-conserving maps for robot manipulator control | 1989 | 4 |
| 13 | 1996 | 4 | |
| 14 | 1993 | 4 | |
| 15 | 1998 | 3 | |
| 16 | Neural Networks for Sepsis Prediction - the MEDAN-Project 1 | 2004 | 3 |
| 17 | 2002 | 3 | |
| 18 | 2004 | 2 | |
| 19 | 1998 | 2 | |
| 20 | 2016 | 2 |
About Rüdiger Brause
Rüdiger Brause is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 36 papers that have together received 359 indexed citations. Recurring topics across this work include Neural Networks and Applications (15 papers), Sepsis Diagnosis and Treatment (5 papers), Fuzzy Logic and Control Systems (4 papers), Control Systems and Identification (4 papers), Fault Detection and Control Systems (3 papers), Hemodynamic Monitoring and Therapy (2 papers), Data Mining Algorithms and Applications (2 papers) and Machine Learning in Healthcare (2 papers). The work is most often cited by research in Artificial Intelligence (260 citations), Accounting (53 citations), Information Systems (94 citations), Media Technology (27 citations) and Signal Processing (28 citations). Rüdiger Brause has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Martin Hepp, E. Hanisch, Friedrich Fraundorfer, Katharina Holzer, Nikolaos Bourbakis, Mohammad Mohammadi Amiri, C. Alexopoulos, A. Encke, Mario Dal Cin and Jack H. Lutz. Their work appears in journals such as Neural Networks, Computer Methods and Programs in Biomedicine, Neural Computing and Applications, Journal of Intensive Care Medicine and Journal of Intelligent & Fuzzy Systems.
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.