Marcel Wever
Impact in
- Artificial Intelligence top 10%
- Machine Learning and Data Classification
- Machine Learning and Algorithms
- Data Stream Mining Techniques
- Text and Document Classification Technologies
- Imbalanced Data Classification Techniques
- Metaheuristic Optimization Algorithms Research
- Anomaly Detection Techniques and Applications
Papers in
-
- Machine Learning and Data Classification 15
- Machine Learning and Algorithms 10
- Evolutionary Algorithms and Applications 3
- Text and Document Classification Technologies 3
- Data Stream Mining Techniques 3
- Neural Networks and Applications 2
- Imbalanced Data Classification Techniques 2
- Co-authors
- Felix Mohr (13 shared papers)Eyke Hüllermeier (18 shared papers)Bernard De Baets (1 shared paper)Heiko Hamann (2 shared papers)Willem Waegeman (1 shared paper)Stefan Werner (1 shared paper)László Németh (1 shared paper)Andreas Müller (1 shared paper)
- Journals
- Machine Learning (4 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)Information Sciences (1 paper)Evolutionary Computation (1 paper)Applied Soft Computing (1 paper)
- Partner nations
- GermanyColombiaUnited States
In The Last Decade
Marcel Wever
22 papers receiving 244 citations
Peers
Comparison fields: 5 of 69
- Artificial Intelligence 172
- Software 12
- Health Information Management 12
- Management Science and Operations Research 25
- Computer Science Applications 8
Countries citing papers authored by Marcel Wever
This map shows the geographic impact of Marcel Wever'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 Marcel Wever with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcel Wever more than expected).
Fields of papers citing papers by Marcel Wever
This network shows the impact of papers produced by Marcel Wever. 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 Marcel Wever. The network helps show where Marcel Wever may publish in the future.
Co-authors
The 19 scholars most cited alongside Marcel Wever, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 88 | |
| 2 | 2021 | 53 | |
| 3 | 2021 | 27 | |
| 4 | 2023 | 23 | |
| 5 | 2021 | 10 | |
| 6 | 2022 | 9 | |
| 7 | 2022 | 8 | |
| 8 | ML-Plan for Unlimited-Length Machine Learning Pipelines | 2018 | 7 |
| 9 | 2018 | 6 | |
| 10 | Automating Multi-Label Classification Extending ML-Plan | 2019 | 5 |
| 11 | 2020 | 4 | |
| 12 | 2018 | 3 | |
| 13 | 2024 | 3 | |
| 14 | Programmatic Task Network Planning | 2018 | 3 |
| 15 | 2018 | 3 | |
| 16 | 2017 | 3 | |
| 17 | Replacing the Ex-Def Baseline in AutoML by Naive AutoML | 2021 | 2 |
| 18 | 2018 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2025 | 1 |
About Marcel Wever
Marcel Wever is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Information Systems and Management and Signal Processing, having authored 25 papers that have together received 264 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (15 papers), Machine Learning and Algorithms (10 papers), Evolutionary Algorithms and Applications (3 papers), Text and Document Classification Technologies (3 papers), Data Stream Mining Techniques (3 papers), Software Testing and Debugging Techniques (2 papers), Neural Networks and Applications (2 papers) and Imbalanced Data Classification Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (172 citations), Software (12 citations), Health Information Management (12 citations), Management Science and Operations Research (25 citations) and Computer Science Applications (8 citations). Marcel Wever has collaborated with scholars based in Germany, Colombia and United States. Frequent co-authors include Felix Mohr, Eyke Hüllermeier, Bernard De Baets, Heiko Hamann, Willem Waegeman, Stefan Werner, László Németh, Andreas Müller, Joaquin Vanschoren and Johannes Fürnkranz. Their work appears in journals such as Machine Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence, Information Sciences, Evolutionary Computation and Applied Soft Computing.
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.