Michel Lang
Impact in
- Artificial Intelligence top 2%
- Machine Learning and Data Classification
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Imbalanced Data Classification Techniques
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- Artificial Intelligence in Healthcare
Papers in
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- Machine Learning and Data Classification 15
- Data Analysis with R 6
- Evolutionary Algorithms and Applications 3
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- Advanced Multi-Objective Optimization Algorithms 6
- Co-authors
- Bernd Bischl (24 shared papers)Jörg Rahnenführer (12 shared papers)Andrea Bommert (5 shared papers)Xudong Sun (2 shared papers)Jakob Richter (11 shared papers)Martin Binder (6 shared papers)Stefan Coors (3 shared papers)Lars Kotthoff (6 shared papers)
- Journals
- Journal of Statistical Software (3 papers)Journal of Statistical Computation and Simulation (2 papers)Journal of Machine Learning Research (2 papers)BMC Bioinformatics (2 papers)Bioinformatics (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Michel Lang
43 papers receiving 1.9k citations
Michel Lang's Hit Papers
Peers
Comparison fields: 5 of 178
- Artificial Intelligence 638
- Health Information Management 55
- Health Informatics 12
- Statistics and Probability 70
- Computational Theory and Mathematics 143
Countries citing papers authored by Michel Lang
This map shows the geographic impact of Michel Lang'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 Michel Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michel Lang more than expected).
Fields of papers citing papers by Michel Lang
This network shows the impact of papers produced by Michel Lang. 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 Michel Lang. The network helps show where Michel Lang may publish in the future.
Co-authors
The 25 scholars most cited alongside Michel Lang, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Benchmark for filter methods for feature selection in high-dimensional classification data Hit paper breakdown → | 2019 | 506 |
| 2 | Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges Hit paper breakdown → | 2023 | 479 |
| 3 | mlr3: A modern object-oriented machine learning framework in R Hit paper breakdown → | 2019 | 260 |
| 4 | 2013 | 221 | |
| 5 | 2021 | 67 | |
| 6 | 2023 | 44 | |
| 7 | 2017 | 43 | |
| 8 | 2014 | 35 | |
| 9 | 2015 | 35 | |
| 10 | 2017 | 27 | |
| 11 | checkmate: Fast Argument Checks for Defensive R Programming | 2017 | 18 |
| 12 | 2023 | 18 | |
| 13 | 2020 | 18 | |
| 14 | 2010 | 17 | |
| 15 | 2014 | 14 | |
| 16 | 2011 | 13 | |
| 17 | 2017 | 12 | |
| 18 | mlr3pipelines - Flexible Machine Learning Pipelines in R | 2021 | 11 |
| 19 | 2017 | 10 | |
| 20 | 2014 | 8 |
About Michel Lang
Michel Lang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Molecular Biology, Information Systems and Management and Plant Science, having authored 45 papers that have together received 1.9k indexed citations. Recurring topics across this work include Machine Learning and Data Classification (15 papers), Data Analysis with R (6 papers), Advanced Multi-Objective Optimization Algorithms (6 papers), Gene expression and cancer classification (4 papers), Scientific Computing and Data Management (4 papers), Plant and Fungal Interactions Research (3 papers), Evolutionary Algorithms and Applications (3 papers) and Cloud Computing and Resource Management (3 papers). The work is most often cited by research in Artificial Intelligence (638 citations), Health Information Management (55 citations), Health Informatics (12 citations), Statistics and Probability (70 citations) and Computational Theory and Mathematics (143 citations). Michel Lang has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Bernd Bischl, Jörg Rahnenführer, Andrea Bommert, Xudong Sun, Jakob Richter, Martin Binder, Stefan Coors, Lars Kotthoff, Giuseppe Casalicchio and Janek Thomas. Their work appears in journals such as Journal of Statistical Software, Journal of Statistical Computation and Simulation, Journal of Machine Learning Research, BMC Bioinformatics and Bioinformatics.
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.