François Septier
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 5%
- Aerospace Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Avishy CarmiSimon GodsillGareth W. PetersSze Kim PangYves DelignonLyudmila MihaylovaAmadou GningIdo Nevat
- Topics
- Target Tracking and Data Fusion in Sensor Networks (19 papers)Distributed Sensor Networks and Detection Algorithms (9 papers)Gaussian Processes and Bayesian Inference (6 papers)
- Partner nations
- FranceUnited KingdomSingapore
In The Last Decade
François Septier
40 papers receiving 677 citations
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 317
- Electrical and Electronic Engineering 213
- Computer Networks and Communications 170
- Aerospace Engineering 111
- Computer Vision and Pattern Recognition 93
Countries citing papers authored by François Septier
This map shows the geographic impact of François Septier'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 François Septier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites François Septier more than expected).
Fields of papers citing papers by François Septier
This network shows the impact of papers produced by François Septier. 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 François Septier. The network helps show where François Septier may publish in the future.
Co-authorship network of co-authors of François Septier
This figure shows the co-authorship network connecting the top 25 collaborators of François Septier. A scholar is included among the top collaborators of François Septier 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 François Septier. François Septier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 11 | |
| 4 | 14 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 12 | |
| 8 | 2 | |
| 9 | 21 | |
| 10 | 3 | |
| 11 | 40 | |
| 12 | 41 | |
| 13 | 5 | |
| 14 | Bayesian model selection and parameter estimation in penalized regression model using SMC samplers | 3 |
| 15 | 7 | |
| 16 | 48 | |
| 17 | Tracking of Multiple Contaminant Clouds | 10 |
| 18 | 37 | |
| 19 | 5 | |
| 20 | 10 |
About François Septier
François Septier is a scholar working on Statistics and Probability, Artificial Intelligence and Computer Networks and Communications, having authored 43 papers that have together received 691 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (19 papers), Distributed Sensor Networks and Detection Algorithms (9 papers) and Gaussian Processes and Bayesian Inference (6 papers). The work is most often cited by research in Artificial Intelligence (317 citations), Computer Networks and Communications (170 citations) and Environmental Engineering (73 citations). François Septier has collaborated with scholars based in France, United Kingdom and Singapore. Frequent co-authors include Avishy Carmi, Simon Godsill, Gareth W. Peters, Sze Kim Pang, Yves Delignon, Lyudmila Mihaylova, Amadou Gning, Ido Nevat, Tomoko Matsui and Laurent Clavier. Their work appears in journals such as Automatica, IEEE Transactions on Signal Processing and Atmospheric Environment.
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.