Philippe Bonnifait

3.3k citations
90 papers · 1.7k indexed · h-index 22
Topics
Robotics and Sensor-Based Localization (38 papers)Target Tracking and Data Fusion in Sensor Networks (36 papers)Autonomous Vehicle Technology and Safety (24 papers)
Partner nations
FranceChinaPortugal

In The Last Decade

Philippe Bonnifait

84 papers receiving 1.6k citations

Peers

Philippe Bonnifait
Comparison fields: 5 of 67
  • Aerospace Engineering 668
  • Automotive Engineering 613
  • Artificial Intelligence 492
  • Computer Vision and Pattern Recognition 484
  • Electrical and Electronic Engineering 418
Replace Gerd Wanielik with:
Gerd Wanielik Germany
Shunsuke Kamijo Japan
Huijing Zhao China
Jun Won Choi South Korea
Kichun Jo South Korea
Diange Yang China
Yanlei Gu Japan
Baigen Cai China
N.H.C. Yung Hong Kong
Yunfeng Ai China
Philippe Bonnifait relative to Gerd Wanielik Germany Gerd Wanielik's profile →
Citations per field
00.5×1.5×
Gerd Wanielik · 1×
Citations per year

Countries citing papers authored by Philippe Bonnifait

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Philippe Bonnifait

This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Bonnifait. A scholar is included among the top collaborators of Philippe Bonnifait 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 Philippe Bonnifait. Philippe Bonnifait 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
#WorkIndexed citations
1 0
2 0
3 2
4 2
5 8
6 6
7 16
8
Using High Definition Maps to Estimate GNSS Positioning Uncertainty
1
9 11
10 26
11 12
12 12
13 286
14 7
15 8
16 49
17 136
18
Vehicles Modeling and Multi-Sensor Smoothing Techniques for Post-Processed Vehicles Localisation
4
19 4
20 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) and Autonomous Vehicle Technology and Safety (24 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.

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