Michael Wurst
Impact in
- Signal Processing top 5%
- Music and Audio Processing
- Artificial Intelligence top 5%
- Data Stream Mining Techniques
- Machine Learning and Data Classification
Papers in
-
- Data Stream Mining Techniques 4
- Metaheuristic Optimization Algorithms Research 3
- Advanced Clustering Algorithms Research 2
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- Data Management and Algorithms 3
- Time Series Analysis and Forecasting 3
- Co-authors
- Ingo Mierswa (5 shared papers)Martin Scholz (1 shared paper)Ralf Klinkenberg (1 shared paper)Katharina Morik (3 shared papers)Geoffrey D. Hannigan (1 shared paper)Ondřej Klempíř (1 shared paper)Jindřich Soukup (1 shared paper)Gergely Temesi (1 shared paper)
- Journals
- Future Generation Computer Systems (1 paper)Nucleic Acids Research (1 paper)Knowledge and Information Systems (1 paper)PLoS ONE (1 paper)International Journal of Knowledge-based and Intelligent Engineering Systems (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Michael Wurst
16 papers receiving 1.0k citations
Michael Wurst's Hit Papers
Peers
Comparison fields: 5 of 143
- Signal Processing 154
- Artificial Intelligence 387
- Computer Science Applications 59
- Information Systems 199
- Pharmacology 124
Countries citing papers authored by Michael Wurst
This map shows the geographic impact of Michael Wurst'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 Michael Wurst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Wurst more than expected).
Fields of papers citing papers by Michael Wurst
This network shows the impact of papers produced by Michael Wurst. 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 Michael Wurst. The network helps show where Michael Wurst may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Wurst, 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 | YALE Hit paper breakdown → | 2006 | 661 |
| 2 | 2019 | 196 | |
| 3 | 2005 | 69 | |
| 4 | 2015 | 52 | |
| 5 | 2006 | 33 | |
| 6 | 2014 | 18 | |
| 7 | 2006 | 12 | |
| 8 | 2011 | 11 | |
| 9 | 2013 | 7 | |
| 10 | 2010 | 5 | |
| 11 | 2020 | 5 | |
| 12 | Mining residential household information from low-resolution smart meter data | 2012 | 5 |
| 13 | Ubiquitous data | 2010 | 4 |
| 14 | Sound Multi-objective Feature Space Transformation for Clustering | 2006 | 3 |
| 15 | 2006 | 2 | |
| 16 | 2022 | 1 | |
| 17 | 2006 | 1 | |
| 18 | Multi-agent Learning by Distributed Feature Extraction. | 2007 | 0 |
About Michael Wurst
Michael Wurst is a scholar working on Artificial Intelligence, Signal Processing, Information Systems, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Data Stream Mining Techniques (4 papers), Data Management and Algorithms (3 papers), Time Series Analysis and Forecasting (3 papers), Metaheuristic Optimization Algorithms Research (3 papers), Advanced Clustering Algorithms Research (2 papers), Recommender Systems and Techniques (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Pasture and Agricultural Systems (1 paper). The work is most often cited by research in Signal Processing (154 citations), Artificial Intelligence (387 citations), Computer Science Applications (59 citations), Information Systems (199 citations) and Pharmacology (124 citations). Michael Wurst has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Ingo Mierswa, Martin Scholz, Ralf Klinkenberg, Katharina Morik, Geoffrey D. Hannigan, Ondřej Klempíř, Jindřich Soukup, Gergely Temesi, Daria J. Hazuda and Danny A. Bitton. Their work appears in journals such as Future Generation Computer Systems, Nucleic Acids Research, Knowledge and Information Systems, PLoS ONE and International Journal of Knowledge-based and Intelligent Engineering 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.