Georges Hébrail

590 total citations
23 papers, 256 citations indexed

About

Georges Hébrail is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Georges Hébrail has authored 23 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Signal Processing, 11 papers in Artificial Intelligence and 9 papers in Computer Networks and Communications. Recurrent topics in Georges Hébrail's work include Data Management and Algorithms (10 papers), Time Series Analysis and Forecasting (9 papers) and Advanced Database Systems and Queries (7 papers). Georges Hébrail is often cited by papers focused on Data Management and Algorithms (10 papers), Time Series Analysis and Forecasting (9 papers) and Advanced Database Systems and Queries (7 papers). Georges Hébrail collaborates with scholars based in France, United States and New Zealand. Georges Hébrail's co-authors include Erol Gelenbe, Raja Chiky, Fabrice Rossi, Yohann de Castro, Yves Lechevallier, Jean‐Marc Azäis, Mohamed Khalil El Mahrsi, Albert Bifet, João Gama and Esther Pacitti and has published in prestigious journals such as Neurocomputing, IEEE Transactions on Knowledge and Data Engineering and Knowledge and Information Systems.

In The Last Decade

Georges Hébrail

23 papers receiving 240 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Georges Hébrail France 9 129 104 63 41 40 23 256
Hang Yang Macao 10 147 1.1× 62 0.6× 55 0.9× 22 0.5× 62 1.6× 39 242
Georg Krempl Germany 8 234 1.8× 64 0.6× 45 0.7× 26 0.6× 38 0.9× 14 301
Vasundhara Puttagunta United States 5 146 1.1× 213 2.0× 44 0.7× 26 0.6× 27 0.7× 5 308
Wenjuan Lian China 9 109 0.8× 62 0.6× 135 2.1× 20 0.5× 89 2.2× 24 249
Hardy Kremer Germany 9 264 2.0× 164 1.6× 46 0.7× 33 0.8× 59 1.5× 19 345
Chi Chen China 9 92 0.7× 72 0.7× 115 1.8× 29 0.7× 86 2.1× 28 268
Dragomir Yankov United States 10 235 1.8× 231 2.2× 62 1.0× 104 2.5× 43 1.1× 27 398
Hoang Thanh Lam Ireland 11 164 1.3× 86 0.8× 86 1.4× 22 0.5× 163 4.1× 27 325
Jürgen Beringer Germany 5 265 2.1× 98 0.9× 30 0.5× 76 1.9× 30 0.8× 5 308
Irene Ntoutsi Greece 9 221 1.7× 234 2.3× 95 1.5× 77 1.9× 77 1.9× 16 458

Countries citing papers authored by Georges Hébrail

Since Specialization
Citations

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

Fields of papers citing papers by Georges Hébrail

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georges Hébrail

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

All Works

20 of 20 papers shown
1.
Bifet, Albert, Fabrice Clérot, Antoine Cornuéjols, et al.. (2022). Open challenges for Machine Learning based Early Decision-Making research. ACM SIGKDD Explorations Newsletter. 24(2). 12–31. 6 indexed citations
2.
Castro, Yohann de, et al.. (2018). Nonnegative Matrix Factorization with Side Information for Time Series Recovery and Prediction. IEEE Transactions on Knowledge and Data Engineering. 31(3). 493–506. 26 indexed citations
3.
Castro, Yohann de, et al.. (2017). Nonnegative Matrix Factorization for Time Series Recovery From a Few Temporal Aggregates. International Conference on Machine Learning. 2382–2390. 13 indexed citations
4.
Hébrail, Georges, et al.. (2016). A new privacy-preserving solution for clustering massively distributed personal times-series. SPIRE - Sciences Po Institutional REpository. 1370–1373. 3 indexed citations
5.
Goude, Yannig, et al.. (2016). Spatial estimation of electricity consumption using socio-demographic information. 1. 753–757. 2 indexed citations
6.
Chiky, Raja, et al.. (2011). A clustering approach for sampling data streams in sensor networks. Knowledge and Information Systems. 32(1). 1–23. 21 indexed citations
7.
Mahrsi, Mohamed Khalil El, et al.. (2010). Spatiotemporal sampling for trajectory streams. 1627–1628. 2 indexed citations
8.
Chiky, Raja, et al.. (2010). CLUSMASTER: A Clustering Approach for Sampling Data Streams in Sensor Networks. 13. 98–107. 3 indexed citations
9.
Hébrail, Georges, et al.. (2010). Exploratory analysis of functional data via clustering and optimal segmentation. Neurocomputing. 73(7-9). 1125–1141. 28 indexed citations
10.
Hébrail, Georges, et al.. (2009). Simultaneous Clustering and Segmentation for Functional Data.. The European Symposium on Artificial Neural Networks. 4 indexed citations
11.
Clérot, Fabrice, et al.. (2007). Summarizing A 3 Way Relational Data Stream. 36. 10–13. 1 indexed citations
12.
Abdessalem, Talel, et al.. (2007). Using Data Stream Management Systems to analyze Electric Power Consumption Data. 36. 28–32. 3 indexed citations
13.
Hébrail, Georges, et al.. (2007). Forgetting data intelligently in data warehouses. 18. 220–227. 4 indexed citations
14.
Hébrail, Georges, et al.. (2002). Visualizing 2665 electric power load curves an a single A4 sheet of paper. 126–132. 6 indexed citations
15.
Hébrail, Georges, et al.. (1998). Interactive interpretation of hierarchical clustering. Intelligent Data Analysis. 2(1-4). 229–244. 15 indexed citations
16.
Hébrail, Georges, et al.. (1998). Interactive Interpretation of Hierarchical Clustering. Intelligent Data Analysis. 2(3). 229–244. 4 indexed citations
17.
Hébrail, Georges, et al.. (1998). Interactive interpretation of Kohonen maps applied to curves. 179–183. 32 indexed citations
18.
Hébrail, Georges, et al.. (1992). Automatic document classification. 51–58. 26 indexed citations
19.
Hébrail, Georges. (1986). A model of summaries for very large databases. 143–151. 8 indexed citations
20.
Gelenbe, Erol & Georges Hébrail. (1986). A probability model of uncertainty in data bases. 328–333. 38 indexed citations

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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