Peter A. Flach
Impact in
- Artificial Intelligence top 0.1%
- Explainable Artificial Intelligence (XAI)
- Machine Learning and Data Classification
- Imbalanced Data Classification Techniques
- Logic, Reasoning, and Knowledge
- Machine Learning and Algorithms
- Information Systems top 0.1%
- Data Mining Algorithms and Applications
- Data Mining and Machine Learning Applications
Papers in
-
- Logic, Reasoning, and Knowledge 43
- Machine Learning and Algorithms 34
- Imbalanced Data Classification Techniques 34
- Machine Learning and Data Classification 32
- Bayesian Modeling and Causal Inference 17
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- Data Mining Algorithms and Applications 69
- Data Mining and Machine Learning Applications 25
- Co-authors
- Nada Lavrač A (17 shared papers)Tarek Abudawood (4 shared papers)Meelis Kull (21 shared papers)Kacper Sokol (16 shared papers)Tom Diethe (18 shared papers)Cèsar Ferri Ramírez (16 shared papers)Nicolas Lachiche (16 shared papers)Stefan Wrobel (3 shared papers)
- Journals
- Machine Learning (16 papers)Lecture notes in computer science (49 papers)Contact Dermatitis (3 papers)International Journal of Epidemiology (3 papers)Neurocomputing (3 papers)
- Partner nations
- United KingdomNetherlandsSlovenia
In The Last Decade
Peter A. Flach
266 papers receiving 11.5k citations
Peter A. Flach's Hit Papers
Peers
Comparison fields: 5 of 198
- Artificial Intelligence 5.6k
- Information Systems 2.7k
- Computer Vision and Pattern Recognition 1.3k
- Health Information Management 253
- Computer Science Applications 156
Countries citing papers authored by Peter A. Flach
This map shows the geographic impact of Peter A. Flach'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 Peter A. Flach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter A. Flach more than expected).
Fields of papers citing papers by Peter A. Flach
This network shows the impact of papers produced by Peter A. Flach. 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 Peter A. Flach. The network helps show where Peter A. Flach may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter A. Flach, 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 269 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Evaluation Measures for Multi-class Subgroup Discovery Hit paper breakdown → | 2009 | 690 |
| 2 | Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence Hit paper breakdown → | 2016 | 624 |
| 3 | On Graph Kernels: Hardness Results and Efficient Alternatives Hit paper breakdown → | 2003 | 621 |
| 4 | Machine Learning Hit paper breakdown → | 2012 | 570 |
| 5 | Machine Learning: The art and science of algorithms that make sense of data Hit paper breakdown → | 2012 | 495 |
| 6 | Multi-Instance Kernels | 2002 | 349 |
| 7 | Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS 2017) | 2017 | 335 |
| 8 | 1999 | 283 | |
| 9 | Subgroup Discovery with CN2-SD | 2004 | 274 |
| 10 | CRISP-DM Twenty Years Later: From Data Mining Processes to Data Science Trajectories Hit paper breakdown → | 2019 | 263 |
| 11 | 2020 | 222 | |
| 12 | 2020 | 216 | |
| 13 | 2001 | 209 | |
| 14 | Learning Decision Trees Using the Area Under the ROC Curve | 2002 | 206 |
| 15 | 2015 | 197 | |
| 16 | 2015 | 195 | |
| 17 | Canadian Conference on Artificial Intelligence | 2009 | 190 |
| 18 | The geometry of ROC space: understanding machine learning metrics through ROC isometrics | 2003 | 183 |
| 19 | 2001 | 170 | |
| 20 | 2005 | 166 |
About Peter A. Flach
Peter A. Flach is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Statistics, Probability and Uncertainty, having authored 269 papers that have together received 12.1k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (69 papers), Logic, Reasoning, and Knowledge (43 papers), Machine Learning and Algorithms (34 papers), Imbalanced Data Classification Techniques (34 papers), Machine Learning and Data Classification (32 papers), Data Mining and Machine Learning Applications (25 papers), Context-Aware Activity Recognition Systems (22 papers) and Bayesian Modeling and Causal Inference (17 papers). The work is most often cited by research in Artificial Intelligence (5.6k citations), Information Systems (2.7k citations), Computer Vision and Pattern Recognition (1.3k citations), Health Information Management (253 citations) and Computer Science Applications (156 citations). Peter A. Flach has collaborated with scholars based in United Kingdom, Netherlands and Slovenia. Frequent co-authors include Nada Lavrač A, Tarek Abudawood, Meelis Kull, Kacper Sokol, Tom Diethe, Cèsar Ferri Ramírez, Nicolas Lachiche, Stefan Wrobel, José Hernández‐Orallo and Yu Chen. Their work appears in journals such as Machine Learning, Lecture notes in computer science, Contact Dermatitis, International Journal of Epidemiology and Neurocomputing.
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.