K. Verbert
Impact in
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- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
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- Reliability and Maintenance Optimization
Papers in
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- Machine Fault Diagnosis Techniques 3
- Fault Detection and Control Systems 3
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- Risk and Safety Analysis 3
- Co-authors
- Robert Babuška (9 shared papers)Tim de Bruin (1 shared paper)Bart De Schutter (7 shared papers)Roland Tóth (1 shared paper)
- Journals
- Engineering Applications of Artificial Intelligence (3 papers)IEEE/ASME Transactions on Mechatronics (1 paper)IEEE Transactions on Reliability (1 paper)Reliability Engineering & System Safety (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)
- Partner nations
- Netherlands
In The Last Decade
K. Verbert
9 papers receiving 522 citations
K. Verbert's Hit Papers
Peers
Comparison fields: 5 of 58
- Control and Systems Engineering 290
- Safety, Risk, Reliability and Quality 81
- Statistics, Probability and Uncertainty 54
- Software 31
- Industrial and Manufacturing Engineering 68
Countries citing papers authored by K. Verbert
This map shows the geographic impact of K. Verbert'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 K. Verbert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Verbert more than expected).
Fields of papers citing papers by K. Verbert
This network shows the impact of papers produced by K. Verbert. 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 K. Verbert. The network helps show where K. Verbert may publish in the future.
Co-authors
The 4 scholars most cited alongside K. Verbert, 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 | Railway Track Circuit Fault Diagnosis Using Recurrent Neural Networks Hit paper breakdown → | 2016 | 256 |
| 2 | 2017 | 71 | |
| 3 | 2016 | 66 | |
| 4 | 2017 | 56 | |
| 5 | 2015 | 25 | |
| 6 | 2018 | 23 | |
| 7 | 2016 | 15 | |
| 8 | 2015 | 13 | |
| 9 | 2015 | 9 |
About K. Verbert
K. Verbert is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty, Computer Networks and Communications, Safety, Risk, Reliability and Quality and Artificial Intelligence, having authored 9 papers that have together received 534 indexed citations. Recurring topics across this work include Risk and Safety Analysis (3 papers), Machine Fault Diagnosis Techniques (3 papers), Fault Detection and Control Systems (3 papers), Software System Performance and Reliability (2 papers), AI-based Problem Solving and Planning (2 papers), Bayesian Modeling and Causal Inference (2 papers), Rough Sets and Fuzzy Logic (2 papers) and Reliability and Maintenance Optimization (2 papers). The work is most often cited by research in Control and Systems Engineering (290 citations), Safety, Risk, Reliability and Quality (81 citations), Statistics, Probability and Uncertainty (54 citations), Software (31 citations) and Industrial and Manufacturing Engineering (68 citations). K. Verbert has collaborated with scholars based in Netherlands. Frequent co-authors include Robert Babuška, Tim de Bruin, Bart De Schutter and Roland Tóth. Their work appears in journals such as Engineering Applications of Artificial Intelligence, IEEE/ASME Transactions on Mechatronics, IEEE Transactions on Reliability, Reliability Engineering & System Safety and IEEE Transactions on Neural Networks and Learning 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.