Philippe Bonnifait
- Automotive Engineering top 1%
- Autonomous Vehicle Technology and Safety 24
- Aerospace Engineering top 2%
- Robotics and Sensor-Based Localization 38
- GNSS positioning and interference 15
- Building and Construction top 2%
-
- Target Tracking and Data Fusion in Sensor Networks 36
-
- Indoor and Outdoor Localization Technologies 23
-
- Data Management and Algorithms 10
-
- Automated Road and Building Extraction 9
-
- Remote Sensing and LiDAR Applications 8
Philippe Bonnifait
84 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 67
- Automotive Engineering 613
- Aerospace Engineering 668
- Computer Vision and Pattern Recognition 484
- Building and Construction 288
- Control and Systems Engineering 356
Countries citing papers authored by Philippe Bonnifait
This map shows the geographic impact of Philippe Bonnifait'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 Philippe Bonnifait with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Bonnifait more than expected).
Fields of papers citing papers by Philippe Bonnifait
This network shows the impact of papers produced by Philippe Bonnifait. 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 Philippe Bonnifait. The network helps show where Philippe Bonnifait may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Philippe Bonnifait, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 2 | |
| 5 | 2021 | 8 | |
| 6 | 2018 | 6 | |
| 7 | 2018 | 16 | |
| 8 | Using High Definition Maps to Estimate GNSS Positioning Uncertainty | 2017 | 1 |
| 9 | 2017 | 11 | |
| 10 | 2015 | 26 | |
| 11 | 2015 | 12 | |
| 12 | 2013 | 12 | |
| 13 | 2013 | 286 | |
| 14 | 2008 | 7 | |
| 15 | 2006 | 8 | |
| 16 | 2006 | 49 | |
| 17 | 2005 | 136 | |
| 18 | Vehicles Modeling and Multi-Sensor Smoothing Techniques for Post-Processed Vehicles Localisation | 2002 | 4 |
| 19 | 1999 | 4 | |
| 20 | 1997 | 2 |
About Philippe Bonnifait
Philippe Bonnifait is a scholar working on Aerospace Engineering, Automotive Engineering and Artificial Intelligence, having authored 90 papers that have together received 1.7k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (38 papers), Target Tracking and Data Fusion in Sensor Networks (36 papers), Autonomous Vehicle Technology and Safety (24 papers), Indoor and Outdoor Localization Technologies (23 papers), GNSS positioning and interference (15 papers), Data Management and Algorithms (10 papers), Automated Road and Building Extraction (9 papers) and Remote Sensing and LiDAR Applications (8 papers). The work is most often cited by research in Automotive Engineering (613 citations), Aerospace Engineering (668 citations) and Computer Vision and Pattern Recognition (484 citations). Philippe Bonnifait has collaborated with scholars based in France, China and Portugal. Frequent co-authors include Véronique Cherfaoui, Amadou Gning, Wen Yao, Maan E. El Najjar, Philippe Xu, Fahed Abdallah, Véronique Cherfaoui, Javier Ibañez‐Guzmán, Guillermo García and Dominique Meizel. Their work appears in journals such as Automatica, Sensors and IEEE Transactions on Intelligent Transportation Systems.
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.