Janek Thomas
Impact in
- Artificial Intelligence top 5%
- Machine Learning and Data Classification
- Anomaly Detection Techniques and Applications
- Explainable Artificial Intelligence (XAI)
- Metaheuristic Optimization Algorithms Research
- Imbalanced Data Classification Techniques
- Statistics and Probability top 10%
- Statistical Methods and Inference
Papers in
-
- Machine Learning and Data Classification 9
- Anomaly Detection Techniques and Applications 3
- Metaheuristic Optimization Algorithms Research 2
- Machine Learning and Algorithms 2
-
- Advanced Multi-Objective Optimization Algorithms 7
- Co-authors
- Bernd Bischl (14 shared papers)Michel Lang (3 shared papers)Jakob Richter (3 shared papers)Tobias Pielok (2 shared papers)Martin Binder (2 shared papers)Stefan Coors (2 shared papers)Difan Deng (1 shared paper)Anne‐Laure Boulesteix (1 shared paper)
- Journals
- Big Data (1 paper)Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (1 paper)Statistics and Computing (1 paper)IEEE Access (1 paper)Computational and Mathematical Methods in Medicine (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Janek Thomas
17 papers receiving 711 citations
Janek Thomas's Hit Papers
Peers
Comparison fields: 5 of 142
- Artificial Intelligence 242
- Statistics and Probability 49
- Health Informatics 6
- Health Information Management 19
- Environmental Engineering 48
Countries citing papers authored by Janek Thomas
This map shows the geographic impact of Janek Thomas'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 Janek Thomas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janek Thomas more than expected).
Fields of papers citing papers by Janek Thomas
This network shows the impact of papers produced by Janek Thomas. 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 Janek Thomas. The network helps show where Janek Thomas may publish in the future.
Co-authors
The 25 scholars most cited alongside Janek Thomas, 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 | Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges Hit paper breakdown → | 2023 | 479 |
| 2 | 2022 | 74 | |
| 3 | 2017 | 52 | |
| 4 | 2023 | 44 | |
| 5 | 2017 | 24 | |
| 6 | 2016 | 13 | |
| 7 | 2022 | 8 | |
| 8 | 2021 | 6 | |
| 9 | 2017 | 5 | |
| 10 | 2023 | 5 | |
| 11 | 2024 | 4 | |
| 12 | Meta learning for defaults: symbolic defaults | 2018 | 3 |
| 13 | 2021 | 3 | |
| 14 | 2019 | 3 | |
| 15 | 2022 | 2 | |
| 16 | 2018 | 2 | |
| 17 | Boosting Methods for 'GAMLSS' [R package gamboostLSS version 2.0-5] | 2021 | 1 |
About Janek Thomas
Janek Thomas is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Computer Vision and Pattern Recognition and Signal Processing, having authored 17 papers that have together received 728 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (9 papers), Advanced Multi-Objective Optimization Algorithms (7 papers), Anomaly Detection Techniques and Applications (3 papers), Metaheuristic Optimization Algorithms Research (2 papers), Machine Learning and Algorithms (2 papers), Software Engineering Research (2 papers), Statistical Methods and Inference (2 papers) and Time Series Analysis and Forecasting (2 papers). The work is most often cited by research in Artificial Intelligence (242 citations), Statistics and Probability (49 citations), Health Informatics (6 citations), Health Information Management (19 citations) and Environmental Engineering (48 citations). Janek Thomas has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Bernd Bischl, Michel Lang, Jakob Richter, Tobias Pielok, Martin Binder, Stefan Coors, Difan Deng, Anne‐Laure Boulesteix, Marc Becker and Theresa Ullmann. Their work appears in journals such as Big Data, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, Statistics and Computing, IEEE Access and Computational and Mathematical Methods in Medicine.
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.