Pierre-François Marteau
- Signal Processing top 5%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications
- Economics and Econometrics
- Co-authors
- Sylvie GibetHenry D. I. AbarbanelMarc El-BèzePatrice BellotGeorges HébrailAlbert BifetJoão GamaGérard Bailly
- Topics
- Time Series Analysis and Forecasting (7 papers)Natural Language Processing Techniques (6 papers)Anomaly Detection Techniques and Applications (5 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Neural Networks and Learning SystemsIEEE Transactions on Knowledge and Data Engineering
- Partner nations
- FranceUnited StatesNew Zealand
In The Last Decade
Pierre-François Marteau
26 papers receiving 421 citations
Peers
Comparison fields: 5 of 79
- Signal Processing 239
- Artificial Intelligence 232
- Computer Vision and Pattern Recognition 69
- Computer Networks and Communications 59
- Economics and Econometrics 56
Countries citing papers authored by Pierre-François Marteau
This map shows the geographic impact of Pierre-François Marteau'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 Pierre-François Marteau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre-François Marteau more than expected).
Fields of papers citing papers by Pierre-François Marteau
This network shows the impact of papers produced by Pierre-François Marteau. 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 Pierre-François Marteau. The network helps show where Pierre-François Marteau may publish in the future.
Co-authorship network of co-authors of Pierre-François Marteau
This figure shows the co-authorship network connecting the top 25 collaborators of Pierre-François Marteau. A scholar is included among the top collaborators of Pierre-François Marteau 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 Pierre-François Marteau. Pierre-François Marteau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 15 | |
| 6 | Sequence Covering for Efficient Host-Based Intrusion Detection | 28 |
| 7 | 16 | |
| 8 | 3 | |
| 9 | 199 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 0 | |
| 13 | 0 | |
| 14 | 2 | |
| 15 | 0 | |
| 16 | 2 | |
| 17 | Query Expansion and Classification of Retrieved Documents. | 9 |
| 18 | Word sense disambiguation using HMM tagger | 12 |
| 19 | WSD based on three short context methods | 5 |
| 20 | Gestural Control of Sound Synthesis | 3 |
About Pierre-François Marteau
Pierre-François Marteau is a scholar working on Signal Processing, Artificial Intelligence and Human-Computer Interaction, having authored 32 papers that have together received 444 indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (7 papers), Natural Language Processing Techniques (6 papers) and Anomaly Detection Techniques and Applications (5 papers). The work is most often cited by research in Signal Processing (239 citations), Artificial Intelligence (232 citations) and Statistical and Nonlinear Physics (42 citations). Pierre-François Marteau has collaborated with scholars based in France, United States and New Zealand. Frequent co-authors include Sylvie Gibet, Henry D. I. Abarbanel, Marc El-Bèze, Patrice Bellot, Georges Hébrail, Albert Bifet, João Gama, Gérard Bailly, Antoine Cornuéjols and Pierre Ailliot. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Knowledge and Data Engineering.
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.