Albert Bifet
Impact in
- Artificial Intelligence top 0.05%
- Data Stream Mining Techniques
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
- Imbalanced Data Classification Techniques
- Signal Processing top 0.1%
- Time Series Analysis and Forecasting
Papers in
-
- Data Stream Mining Techniques 167
- Anomaly Detection Techniques and Applications 73
- Machine Learning and Data Classification 72
- Imbalanced Data Classification Techniques 14
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- Time Series Analysis and Forecasting 73
- Co-authors
- Ricard Gavaldà (15 shared papers)Bernhard Pfahringer (69 shared papers)Geoffrey Holmes (34 shared papers)Indrė Žliobaitė (9 shared papers)João Gama (14 shared papers)Mykola Pechenizkiy (8 shared papers)Abdelhamid Bouchachia (1 shared paper)Richard Kirkby (4 shared papers)
- Journals
- Machine Learning (8 papers)Expert Systems with Applications (6 papers)Data Mining and Knowledge Discovery (5 papers)Lecture notes in computer science (38 papers)ACM Computing Surveys (3 papers)
- Partner nations
- New ZealandFranceSpain
In The Last Decade
Albert Bifet
209 papers receiving 11.4k citations
Albert Bifet's Hit Papers
Peers
Comparison fields: 5 of 157
- Artificial Intelligence 10.0k
- Signal Processing 2.8k
- Computer Networks and Communications 2.5k
- Management Science and Operations Research 1.2k
- Information Systems 1.7k
Countries citing papers authored by Albert Bifet
This map shows the geographic impact of Albert Bifet'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 Albert Bifet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albert Bifet more than expected).
Fields of papers citing papers by Albert Bifet
This network shows the impact of papers produced by Albert Bifet. 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 Albert Bifet. The network helps show where Albert Bifet may publish in the future.
Co-authors
The 25 scholars most cited alongside Albert Bifet, 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 222 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A survey on concept drift adaptation Hit paper breakdown → | 2014 | 2221 |
| 2 | Learning from Time-Changing Data with Adaptive Windowing Hit paper breakdown → | 2007 | 1183 |
| 3 | MOA: Massive Online Analysis Hit paper breakdown → | 2010 | 869 |
| 4 | Adaptive random forests for evolving data stream classification Hit paper breakdown → | 2017 | 547 |
| 5 | Mining big data Hit paper breakdown → | 2013 | 533 |
| 6 | Sentiment Knowledge Discovery in Twitter Streaming Data Hit paper breakdown → | 2010 | 462 |
| 7 | New ensemble methods for evolving data streams Hit paper breakdown → | 2009 | 449 |
| 8 | A Survey on Ensemble Learning for Data Stream Classification Hit paper breakdown → | 2017 | 440 |
| 9 | 2009 | 348 | |
| 10 | 2013 | 281 | |
| 11 | 2010 | 279 | |
| 12 | 2019 | 178 | |
| 13 | DATA STREAM MINING A Practical Approach | 2009 | 173 |
| 14 | MOA: Massive Online Analysis, a framework for stream classification and clustering. | 2010 | 164 |
| 15 | 2018 | 151 | |
| 16 | 2015 | 130 | |
| 17 | Machine Learning for Data Streams: With Practical Examples in Moa | 2018 | 130 |
| 18 | 2012 | 115 | |
| 19 | SAMOA: scalable advanced massive online analysis | 2015 | 114 |
| 20 | 2014 | 88 |
About Albert Bifet
Albert Bifet is a scholar working on Artificial Intelligence, Signal Processing, Information Systems, Computer Networks and Communications and Management Science and Operations Research, having authored 222 papers that have together received 11.9k indexed citations. Recurring topics across this work include Data Stream Mining Techniques (167 papers), Anomaly Detection Techniques and Applications (73 papers), Time Series Analysis and Forecasting (73 papers), Machine Learning and Data Classification (72 papers), Data Mining Algorithms and Applications (20 papers), Network Security and Intrusion Detection (20 papers), Advanced Bandit Algorithms Research (16 papers) and Imbalanced Data Classification Techniques (14 papers). The work is most often cited by research in Artificial Intelligence (10.0k citations), Signal Processing (2.8k citations), Computer Networks and Communications (2.5k citations), Management Science and Operations Research (1.2k citations) and Information Systems (1.7k citations). Albert Bifet has collaborated with scholars based in New Zealand, France and Spain. Frequent co-authors include Ricard Gavaldà, Bernhard Pfahringer, Geoffrey Holmes, Indrė Žliobaitė, João Gama, Mykola Pechenizkiy, Abdelhamid Bouchachia, Richard Kirkby, Heitor Murilo Gomes and Jesse Read. Their work appears in journals such as Machine Learning, Expert Systems with Applications, Data Mining and Knowledge Discovery, Lecture notes in computer science and ACM Computing Surveys.
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.