Peter Flach
Impact in
- Artificial Intelligence top 0.02%
- Anomaly Detection Techniques and Applications
- Topic Modeling
- Machine Learning and Data Classification
- Imbalanced Data Classification Techniques
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
Papers in
-
- Imbalanced Data Classification Techniques 58
- Machine Learning and Data Classification 35
- Logic, Reasoning, and Knowledge 32
- Anomaly Detection Techniques and Applications 31
- Semantic Web and Ontologies 25
- Machine Learning and Algorithms 20
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- Data Mining Algorithms and Applications 50
- Co-authors
- Meelis Kull (22 shared papers)Cèsar Ferri (17 shared papers)José Hernández‐Orallo (16 shared papers)Tarek Abudawood (8 shared papers)Thomas Gärtner (5 shared papers)Nada Lavrač (18 shared papers)Tom Diethe (20 shared papers)Nicolas Lachiche (16 shared papers)
- Journals
- Machine Learning (18 papers)Lecture notes in computer science (50 papers)Neurocomputing (3 papers)International Journal of Epidemiology (3 papers)Contact Dermatitis (3 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Peter Flach
290 papers receiving 25.3k citations
Peter Flach's Hit Papers
Peers
Comparison fields: 5 of 228
- Artificial Intelligence 12.8k
- Computer Vision and Pattern Recognition 7.0k
- Computational Mathematics 156
- Signal Processing 1.9k
- Health Informatics 196
Countries citing papers authored by Peter Flach
This map shows the geographic impact of Peter 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 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 Flach more than expected).
Fields of papers citing papers by Peter Flach
This network shows the impact of papers produced by Peter 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 Flach. The network helps show where Peter Flach may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter 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 295 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Advances in Neural Information Processing Systems 28 Hit paper breakdown → | 2015 | 13115 |
| 2 | Proceedings of the 28th International Conference on Machine Learning Hit paper breakdown → | 2011 | 1160 |
| 3 | Evaluation Measures for Multi-class Subgroup Discovery Hit paper breakdown → | 2009 | 693 |
| 4 | On Graph Kernels: Hardness Results and Efficient Alternatives Hit paper breakdown → | 2003 | 621 |
| 5 | Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence Hit paper breakdown → | 2016 | 604 |
| 6 | Machine Learning Hit paper breakdown → | 2012 | 556 |
| 7 | Machine Learning: The Art and Science of Algorithms that Make Sense of Data Hit paper breakdown → | 2012 | 499 |
| 8 | Multi-Instance Kernels | 2002 | 353 |
| 9 | Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS 2017) Hit paper breakdown → | 2017 | 310 |
| 10 | 1999 | 280 | |
| 11 | Subgroup Discovery with CN2-SD | 2004 | 270 |
| 12 | CRISP-DM Twenty Years Later: From Data Mining Processes to Data Science Trajectories Hit paper breakdown → | 2019 | 248 |
| 13 | 2001 | 208 | |
| 14 | Learning Decision Trees Using the Area Under the ROC Curve | 2002 | 208 |
| 15 | 2015 | 193 | |
| 16 | Canadian Conference on Artificial Intelligence | 2009 | 192 |
| 17 | The geometry of ROC space: understanding machine learning metrics through ROC isometrics | 2003 | 188 |
| 18 | 2015 | 185 | |
| 19 | 2001 | 170 | |
| 20 | 2005 | 168 |
About Peter Flach
Peter Flach is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Signal Processing, having authored 295 papers that have together received 26.2k indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (58 papers), Data Mining Algorithms and Applications (50 papers), Rough Sets and Fuzzy Logic (35 papers), Machine Learning and Data Classification (35 papers), Logic, Reasoning, and Knowledge (32 papers), Anomaly Detection Techniques and Applications (31 papers), Semantic Web and Ontologies (25 papers) and Machine Learning and Algorithms (20 papers). The work is most often cited by research in Artificial Intelligence (12.8k citations), Computer Vision and Pattern Recognition (7.0k citations), Computational Mathematics (156 citations), Signal Processing (1.9k citations) and Health Informatics (196 citations). Peter Flach has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Meelis Kull, Cèsar Ferri, José Hernández‐Orallo, Tarek Abudawood, Thomas Gärtner, Nada Lavrač, Tom Diethe, Nicolas Lachiche, Stefan Wrobel and Yu Chen. Their work appears in journals such as Machine Learning, Lecture notes in computer science, Neurocomputing, International Journal of Epidemiology and Contact Dermatitis.
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.