Florent Masséglia

1.5k total citations
55 papers, 572 citations indexed

About

Florent Masséglia is a scholar working on Signal Processing, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Florent Masséglia has authored 55 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Signal Processing, 28 papers in Information Systems and 18 papers in Computer Networks and Communications. Recurrent topics in Florent Masséglia's work include Data Mining Algorithms and Applications (26 papers), Data Management and Algorithms (21 papers) and Time Series Analysis and Forecasting (16 papers). Florent Masséglia is often cited by papers focused on Data Mining Algorithms and Applications (26 papers), Data Management and Algorithms (21 papers) and Time Series Analysis and Forecasting (16 papers). Florent Masséglia collaborates with scholars based in France, United States and Brazil. Florent Masséglia's co-authors include Pascal Poncelet, Maguelonne Teisseire, Reza Akbarinia, Themis Palpanas, Thomas Guyet, Marie-Odile Cordier, René Quiniou, Xiangliang Zhang, Wei Wang and Rosine Cicchetti and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Florent Masséglia

48 papers receiving 524 citations

Peers

Countries citing papers authored by Florent Masséglia

Since Specialization

Citations

This map shows the geographic impact of Florent Masséglia'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 Florent Masséglia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florent Masséglia more than expected).

Fields of papers citing papers by Florent Masséglia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Florent Masséglia. 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 Florent Masséglia. The network helps show where Florent Masséglia may publish in the future.

Co-authorship network of co-authors of Florent Masséglia

This figure shows the co-authorship network connecting the top 25 collaborators of Florent Masséglia. A scholar is included among the top collaborators of Florent Masséglia 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 Florent Masséglia. Florent Masséglia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Scalable and accurate online multivariate anomaly detection 2025 ·Information Systems ·(unknown), (unknown), Reza Akbarinia, Florent Masséglia, Eduardo Ogasawara, Esther Pacitti	0
2	SoftED: Metrics for soft evaluation of time series event detection 2024 ·Computers & Industrial Engineering ·(unknown), (unknown), (unknown), (unknown), Esther Pacitti, Florent Masséglia, Reza Akbarinia, Chao Chen, Jonathan M. Garibaldi, Fábio Porto, Eduardo Ogasawara	3
3	A One-Health Platform for Antimicrobial Resistance Data Analytics 2024 ·SPIRE - Sciences Po Institutional REpository ·(unknown), (unknown), Florent Masséglia	0
4	BestNeighbor: efficient evaluation of kNN queries on large time series databases 2020 ·Knowledge and Information Systems ·(unknown), (unknown), (unknown), Reza Akbarinia, Florent Masséglia, Themis Palpanas, Dennis Shasha, Patrick Valduriez	19
5	A “big-data” algorithm for KNN-PLS 2020 ·Chemometrics and Intelligent Laboratory Systems ·(unknown), Matthieu Lesnoff, (unknown), Reza Akbarinia, Florent Masséglia, Jean‐Michel Roger	13
6	High Dimensional Data Clustering by means of Distributed Dirichlet Process Mixture Models 2019 ·(unknown), (unknown), Nadine Hilgert, Florent Masséglia	2
7	Scientific data analysis using data-intensive scalable computing: The SciDISC project 2018 ·SPIRE - Sciences Po Institutional REpository ·Patrick Valduriez, Marta Mattoso, Reza Akbarinia, (unknown), (unknown), Álvaro L. G. A. Coutinho, Daniel J. Gaspar, (unknown), Ji Liu, (unknown), Florent Masséglia, (unknown), Vítor Silva, (unknown), Kary Ocaña, Eduardo Ogasawara, Daniel de Oliveira, Esther Pacitti, Fábio Porto, Dennis Shasha	3
8	Spatial Sequential Pattern Mining for Seismic Data 2016 ·Riccardo Campisano, Fábio Porto, Esther Pacitti, Florent Masséglia, Eduardo Ogasawara	4
9	Atypicity detection in data streams: A self-adjusting approach 2011 ·Intelligent Data Analysis ·(unknown), Florent Masséglia	1
10	DISCOVERING SIGNIFICANT EVOLUTION PATTERNS FROM SATELLITE IMAGE TIME SERIES 2011 ·International Journal of Neural Systems ·François Petitjean, Florent Masséglia, Pierre Gançarski, Germain Forestier	12
11	Online and adaptive anomaly Detection: detecting intrusions in unlabelled audit data streams. 2009 ·HAL (Le Centre pour la Communication Scientifique Directe) ·Wei Wang, Thomas Guyet, René Quiniou, Marie-Odile Cordier, Florent Masséglia	1
12	Evolution patterns and gradual trends 2009 ·International Journal of Intelligent Systems ·(unknown), Florent Masséglia, Anne Laurent, Maguelonne Teisseire	4
13	Gradual Trends in Fuzzy Sequential Patterns 2008 ·HAL (Le Centre pour la Communication Scientifique Directe) ·(unknown), Florent Masséglia, (unknown), Anne Laurent, Maguelonne Teisseire	5
14	Efficient mining of sequential patterns with time constraints: Reducing the combinations 2008 ·Expert Systems with Applications ·Florent Masséglia, Pascal Poncelet, Maguelonne Teisseire	32
15	Data mining patterns new methods and applications 2007 ·SPIRE - Sciences Po Institutional REpository ·Pascal Poncelet, Florent Masséglia, Maguelonne Teisseire	16
16	GWUM : une généralisation des pages Web guidée par les usages. 2006 ·(unknown), Florent Masséglia, Brigitte Trousse	1
17	Mining Sequential Patterns from Temporal Streaming Data 2005 ·HAL (Le Centre pour la Communication Scientifique Directe) ·(unknown), Florent Masséglia	14
18	Web Usage Mining: Extracting Unexpected Periods from Web Logs 2005 ·SPIRE - Sciences Po Institutional REpository ·Florent Masséglia, Pascal Poncelet, Maguelonne Teisseire, (unknown)	2
19	Diviser pour Découvrir : une Méthode d'Analyse du Comportement de Tous les Utilisateurs d'un Site Web. 2003 ·Florent Masséglia, (unknown), Brigitte Trousse	1
20	An efficient algorithm for Web usage mining 1999 ·Florent Masséglia, Pascal Poncelet, Rosine Cicchetti, (unknown)	45

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.

Explore authors with similar magnitude of impact