Albert Bifet

16.9k total citations · 7 hit papers
171 papers, 8.3k citations indexed

About

Albert Bifet is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, Albert Bifet has authored 171 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 146 papers in Artificial Intelligence, 67 papers in Signal Processing and 33 papers in Information Systems. Recurrent topics in Albert Bifet's work include Data Stream Mining Techniques (127 papers), Anomaly Detection Techniques and Applications (59 papers) and Time Series Analysis and Forecasting (59 papers). Albert Bifet is often cited by papers focused on Data Stream Mining Techniques (127 papers), Anomaly Detection Techniques and Applications (59 papers) and Time Series Analysis and Forecasting (59 papers). Albert Bifet collaborates with scholars based in France, New Zealand and Spain. Albert Bifet's co-authors include Ricard Gavaldà, Bernhard Pfahringer, Geoffrey Holmes, João Gama, Indrė Žliobaitė, Mykola Pechenizkiy, Abdelhamid Bouchachia, Richard Kirkby, Heitor Murilo Gomes and Jesse Read and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and ACM Computing Surveys.

In The Last Decade

Albert Bifet

160 papers receiving 7.9k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A survey on concept drift adaptation

2014 1.9k citations João Gama, Albert Bifet et al. ACM Computing Surveys profile →
Learning from Time-Changing Data with Adaptive Windowing

2007 970 citations Albert Bifet, Ricard Gavaldà profile →
MOA: Massive Online Analysis

2010 703 citations Albert Bifet, Geoffrey Holmes et al. Journal of Machine Learning Research profile →
Adaptive random forests for evolving data stream classification

2017 473 citations Heitor Murilo Gomes, Albert Bifet et al. Machine Learning profile →
Mining big data

2013 403 citations Albert Bifet et al. profile →
A Survey on Ensemble Learning for Data Stream Classification

2017 395 citations Heitor Murilo Gomes, Jean Paul Barddal et al. ACM Computing Surveys profile →
New ensemble methods for evolving data streams

2009 371 citations Albert Bifet, Geoffrey Holmes et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Albert Bifet France	33	6.9k	1.9k	1.8k	1.1k	826	171	8.3k
Rajeev Rastogi United States	42	6.1k 0.9×	3.2k 1.7×	3.8k 2.0×	2.5k 2.3×	544 0.7×	142	10.0k
Salvatore J. Stolfo United States	45	6.1k 0.9×	3.2k 1.7×	5.0k 2.7×	3.0k 2.7×	1.1k 1.4×	200	9.2k
Wei Fan United States	38	4.2k 0.6×	862 0.5×	1.1k 0.6×	1.1k 1.0×	409 0.5×	133	5.4k
Bhavani Thuraisingham United States	38	3.5k 0.5×	1.2k 0.6×	2.5k 1.4×	2.3k 2.1×	314 0.4×	383	6.2k
Longbing Cao Australia	45	4.4k 0.6×	893 0.5×	947 0.5×	3.5k 3.2×	895 1.1×	361	7.8k
Karl Aberer Switzerland	44	2.5k 0.4×	1.3k 0.7×	3.9k 2.1×	2.4k 2.2×	477 0.6×	421	7.9k
Qinghua Zheng China	42	3.7k 0.5×	851 0.4×	2.0k 1.1×	2.4k 2.2×	294 0.4×	440	7.5k
Francesco Palmieri Italy	38	2.1k 0.3×	946 0.5×	2.6k 1.4×	1.5k 1.4×	244 0.3×	234	5.5k
Zhihong Tian China	42	3.3k 0.5×	1.8k 0.9×	3.6k 1.9×	2.1k 1.9×	175 0.2×	332	7.5k
Yongxin Tong China	36	4.2k 0.6×	533 0.3×	1.4k 0.8×	1.1k 1.0×	738 0.9×	121	7.0k

Countries citing papers authored by Albert Bifet

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Albert Bifet

This figure shows the co-authorship network connecting the top 25 collaborators of Albert Bifet. A scholar is included among the top collaborators of Albert Bifet based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Albert Bifet. Albert Bifet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Bifet, Albert, et al.. (2024). ASML: A Scalable and Efficient AutoML Solution for Data Streams. SPIRE - Sciences Po Institutional REpository. 1 indexed citations

Gomes, Heitor Murilo & Albert Bifet. (2024). Practical Machine Learning for Streaming Data. 6418–6419. 3 indexed citations

Aguilar–Ruiz, Jesús S., Albert Bifet, & João Gama. (2023). Data Stream Analytics. SHILAP Revista de lepidopterología. 2(2). 346–349. 1 indexed citations

Wang, Zichong, Nripsuta Ani Saxena, Israat Haque, et al.. (2023). Preventing Discriminatory Decision-making in Evolving Data Streams. Digital Commons - Michigan Tech (Michigan Technological University). 149–159. 11 indexed citations

Džeroski, Sašo, et al.. (2023). Aging and rejuvenating strategies for fading windows in multi-label classification on data streams. Research Commons (University of Waikato). 390–397. 4 indexed citations

Botacin, Marcus, et al.. (2023). Machine Learning (In) Security: A Stream of Problems. arXiv (Cornell University). 5(1). 1–32. 12 indexed citations

Bifet, Albert, et al.. (2022). Showcasing the TAIAO project: providing resources for machine learning from images of New Zealand's natural environment. Journal of the Royal Society of New Zealand. 53(1). 69–81.

Gomes, Heitor Murilo, et al.. (2022). A Survey on Semi-supervised Learning for Delayed Partially Labelled Data Streams. ACM Computing Surveys. 55(4). 1–42. 38 indexed citations

Msahli, Mounira, et al.. (2022). Wangiri Fraud: Pattern Analysis and Machine-Learning-Based Detection. IEEE Internet of Things Journal. 10(8). 6794–6802. 7 indexed citations

10.

Gomes, Heitor Murilo, et al.. (2022). An eager splitting strategy for online decision trees in ensembles. Data Mining and Knowledge Discovery. 36(2). 566–619. 7 indexed citations

11.

Montiel, Jacob, Saulo Martiello Mastelini, Heitor Murilo Gomes, et al.. (2022). River: Machine learning for streaming data in python. Journal of Machine Learning Research. 22(110). 1–8. 2 indexed citations

12.

Gomes, Heitor Murilo, et al.. (2022). Balancing Performance and Energy Consumption of Bagging Ensembles for the Classification of Data Streams in Edge Computing. IEEE Transactions on Network and Service Management. 20(3). 3038–3054. 5 indexed citations

13.

Bifet, Albert, et al.. (2021). Data stream analysis: Foundations, major tasks and tools. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 11(3). 74 indexed citations

14.

Barddal, Jean Paul, Fabrício Enembreck, Heitor Murilo Gomes, Albert Bifet, & Bernhard Pfahringer. (2019). Boosting decision stumps for dynamic feature selection on data streams. Information Systems. 83. 13–29. 26 indexed citations

15.

Gomes, Heitor Murilo, Albert Bifet, Jesse Read, et al.. (2019). Correction to: Adaptive random forests for evolving data stream classification. Machine Learning. 108(10). 1877–1878. 9 indexed citations

16.

Grzenda, Maciej, Heitor Murilo Gomes, & Albert Bifet. (2019). Delayed labelling evaluation for data streams. Data Mining and Knowledge Discovery. 34(5). 1237–1266. 17 indexed citations

17.

Barddal, Jean Paul, Fabrício Enembreck, Heitor Murilo Gomes, Albert Bifet, & Bernhard Pfahringer. (2018). Merit-guided dynamic feature selection filter for data streams. Expert Systems with Applications. 116. 227–242. 34 indexed citations

18.

Kremer, Hardy, Timm Jansen, Thomas Seidl, et al.. (2010). Benchmarking Stream Clustering Algorithms within the MOA Framework. RWTH Publications (RWTH Aachen). 2 indexed citations

19.

Bifet, Albert, Eibe Frank, Geoffrey Holmes, & Bernhard Pfahringer. (2010). Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking. Asian Conference on Machine Learning. 225–240. 5 indexed citations

20.

Bifet, Albert & Ricard Gavaldà. (2007). Learning from Time-Changing Data with Adaptive Windowing. 443–448. 970 indexed citations breakdown →

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.

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