2026 Albert Bifet: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	56	3955	3843	9	8	265	23661

Research.com Recognitions

2026 - Research.com Computer Science in New Zealand Leader Award
2025 - Research.com Computer Science in New Zealand Leader Award

Overview

Albert Bifet is affiliated with the University of Waikato in New Zealand and has contributed extensively to the field of Computer Science, with a particular focus on Artificial Intelligence and related subfields.

The main areas of study in Bifet's research include:

Artificial Intelligence
Signal Processing
Computer Networks and Communications
Management Science and Operations Research
Information Systems

Bifet's work covers several key topics in the domain of data mining and machine learning. These topics include:

Data Stream Mining Techniques
Machine Learning and Data Classification
Anomaly Detection Techniques and Applications
Time Series Analysis and Forecasting
Network Security and Intrusion Detection
Imbalanced Data Classification Techniques
Advanced Bandit Algorithms Research

The scientist has co-authored papers with several frequent collaborators, notably:

Bernhard Pfahringer
Heitor Murilo Gomes
Guilherme Weigert Cassales
Maroua Bahri
Jacob Montiel

Key publication venues where Bifet regularly appears include:

arXiv (Cornell University)
Data Mining and Knowledge Discovery
SSRN Electronic Journal
Machine Learning
Expert Systems with Applications

Among recent papers authored or co-authored by Bifet are:

River: machine learning for streaming data in Python, 2020, arXiv (Cornell University)
Data stream analysis: Foundations, major tasks and tools, 2021, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
A Survey on Semi-supervised Learning for Delayed Partially Labelled Data Streams, 2022, ACM Computing Surveys
STUDD: a student-teacher method for unsupervised concept drift detection, 2022, Machine Learning
Binding data mining and expert knowledge for one-day-ahead prediction of hourly global solar radiation, 2020, Expert Systems with Applications

Bifet also has a book publication titled Advances in Knowledge Discovery and Data Mining released in 2022 under Springer Science+Business Media.

Best Publications

A survey on concept drift adaptation

João Gama;Indrė Žliobaitė;Albert Bifet;Mykola Pechenizkiy

3373
Citations
Learning from Time-Changing Data with Adaptive Windowing

Albert Bifet;Ricard Gavaldà

1897
Citations
MOA: Massive Online Analysis, a framework for stream classification and clustering.

Albert Bifet;Geoffrey Holmes;Bernhard Pfahringer;Philipp Kranen

1858
Citations
MOA: Massive Online Analysis

Albert Bifet;Geoff Holmes;Richard Kirkby;Bernhard Pfahringer

1098
Citations
Mining big data: current status, and forecast to the future

Wei Fan;Albert Bifet

1065
Citations
Sentiment knowledge discovery in twitter streaming data

Albert Bifet;Eibe Frank

809
Citations
Adaptive random forests for evolving data stream classification

Heitor M. Gomes;Albert Bifet;Jesse Read;Jean Paul Barddal

787
Citations
New ensemble methods for evolving data streams

Albert Bifet;Geoff Holmes;Bernhard Pfahringer;Richard Kirkby

782
Citations
Early Drift Detection Method

Manuel Baena-Garc;Jose del Campo ¶ Avila;Albert Bifet;Ricard Gavald

719
Citations
A Survey on Ensemble Learning for Data Stream Classification

Heitor Murilo Gomes;Jean Paul Barddal;Fabrício Enembreck;Albert Bifet

624
Citations
Adaptive Learning from Evolving Data Streams

Albert Bifet;Ricard Gavaldà

575
Citations
Active Learning With Drifting Streaming Data

Indre Zliobaite;Albert Bifet;Bernhard Pfahringer;Geoffrey Holmes

441
Citations
Leveraging bagging for evolving data streams

Albert Bifet;Geoff Holmes;Bernhard Pfahringer

434
Citations
Scikit-Multiflow: A Multi-output Streaming Framework

Jacob Montiel;Jesse Read;Albert Bifet;Talel Abdessalem

313
Citations
DATA STREAM MINING A Practical Approach

Albert Bifet;Richard Kirkby

277
Citations
Machine learning for streaming data: state of the art, challenges, and opportunities

Heitor Murilo Gomes;Jesse Read;Albert Bifet;Jean Paul Barddal

249
Citations
Spiking Neural Networks and online learning: An overview and perspectives

Jesus L. Lobo;Javier Del Ser;Albert Bifet;Nikola K. Kasabov

242
Citations
Machine Learning for Data Streams: With Practical Examples in Moa

Albert Bifet;Ricard Gavaldà;Geoff Holmes;Bernhard Pfahringer

226
Citations
Efficient Online Evaluation of Big Data Stream Classifiers

Albert Bifet;Gianmarco de Francisci Morales;Jesse Read;Geoff Holmes

220
Citations
SAMOA: scalable advanced massive online analysis

Gianmarco De Francisci Morales;Albert Bifet

214
Citations
Mining Big Data in Real Time

Albert Bifet

203
Citations

Frequent Co-Authors

Bernhard Pfahringer University of Waikato

Jesse Read École Polytechnique

Ricard Gavaldà Universitat Politècnica de Catalunya

João Gama University of Porto

Geoffrey Holmes University of Waikato

Wei Fan Tencent (China)

Eibe Frank University of Waikato

Thomas Seidl Ludwig-Maximilians-Universität München

Xiaohong Guan Xi'an Jiaotong University

Eduard Ayguadé Barcelona Supercomputing Center

External Links

Personal website of Albert Bifet Google Scholar page

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