Philipp Probst
Impact in
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- Artificial Intelligence in Healthcare
- Artificial Intelligence top 10%
- Machine Learning and Data Classification
- Imbalanced Data Classification Techniques
- Machine Learning in Healthcare
Papers in
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- Machine Learning and Data Classification 4
- Text and Document Classification Technologies 2
- Imbalanced Data Classification Techniques 1
- Neural Networks and Applications 1
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- Gene expression and cancer classification 1
- Bioinformatics and Genomic Networks 1
- Co-authors
- Anne‐Laure Boulesteix (5 shared papers)Raphaël Couronné (1 shared paper)Bernd Bischl (2 shared papers)Roman Hornung (2 shared papers)Vindi Jurinović (1 shared paper)Moritz Herrmann (1 shared paper)Barbara Schäpers (2 shared papers)Nikolaus Plesnila (2 shared papers)
- Journals
- The R Journal (2 papers)Health and Quality of Life Outcomes (1 paper)Briefings in Bioinformatics (1 paper)Critical Care Medicine (1 paper)Biometrical Journal (1 paper)
- Partner nations
- GermanySwitzerlandNetherlands
In The Last Decade
Philipp Probst
17 papers receiving 902 citations
Philipp Probst's Hit Papers
Peers
Comparison fields: 5 of 182
- Health Information Management 36
- Artificial Intelligence 164
- Health Informatics 6
- Environmental Engineering 49
- Emergency Medicine 26
Countries citing papers authored by Philipp Probst
This map shows the geographic impact of Philipp Probst'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 Philipp Probst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Probst more than expected).
Fields of papers citing papers by Philipp Probst
This network shows the impact of papers produced by Philipp Probst. 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 Philipp Probst. The network helps show where Philipp Probst may publish in the future.
Co-authors
The 25 scholars most cited alongside Philipp Probst, 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 | Random forest versus logistic regression: a large-scale benchmark experiment Hit paper breakdown → | 2018 | 557 |
| 2 | Tunability: Importance of Hyperparameters of Machine Learning Algorithms | 2019 | 77 |
| 3 | 2017 | 77 | |
| 4 | 2020 | 75 | |
| 5 | 2020 | 47 | |
| 6 | 2017 | 16 | |
| 7 | 2018 | 14 | |
| 8 | 2020 | 14 | |
| 9 | 2019 | 12 | |
| 10 | 2018 | 11 | |
| 11 | 2019 | 8 | |
| 12 | Modern Total Knee Arthroplasty (TKA): With Or Without a Tourniquet? | 2019 | 7 |
| 13 | 2017 | 6 | |
| 14 | Tune Random Forest of the 'ranger' Package [R package tuneRanger version 0.5] | 2019 | 1 |
| 15 | Analysis of Count Time Series [R package tscount version 1.4.3] | 2020 | 1 |
| 16 | RF Variable Importance for Arbitrary Measures [R package varImp version 0.4] | 2020 | 1 |
| 17 | Analysis of Count Time Series | 2015 | 1 |
About Philipp Probst
Philipp Probst is a scholar working on Artificial Intelligence, Molecular Biology, Nature and Landscape Conservation, Information Systems and Epidemiology, having authored 17 papers that have together received 925 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (4 papers), Text and Document Classification Technologies (2 papers), Imbalanced Data Classification Techniques (1 paper), Gene expression and cancer classification (1 paper), Species Distribution and Climate Change (1 paper), Data Mining Algorithms and Applications (1 paper), Bioinformatics and Genomic Networks (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Health Information Management (36 citations), Artificial Intelligence (164 citations), Health Informatics (6 citations), Environmental Engineering (49 citations) and Emergency Medicine (26 citations). Philipp Probst has collaborated with scholars based in Germany, Switzerland and Netherlands. Frequent co-authors include Anne‐Laure Boulesteix, Raphaël Couronné, Bernd Bischl, Roman Hornung, Vindi Jurinović, Moritz Herrmann, Barbara Schäpers, Nikolaus Plesnila, Katrin Rauen and Friedemann Müller. Their work appears in journals such as The R Journal, Health and Quality of Life Outcomes, Briefings in Bioinformatics, Critical Care Medicine and Biometrical Journal.
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.