Denis Pomorski
- Aerospace Engineering top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Automotive Engineering top 10%
- Co-authors
- Emmanuel DuflosPhilippe VanheegheFrançois CaronCindy CappelleFrançois CharpilletMaan E. El NajjarMaan El Badaoui El NajjarMohamad Khalil
- Topics
- Robotics and Sensor-Based Localization (12 papers)Target Tracking and Data Fusion in Sensor Networks (8 papers)Distributed Sensor Networks and Detection Algorithms (4 papers)
- Partner nations
- FranceLebanonPuerto Rico
In The Last Decade
Denis Pomorski
20 papers receiving 371 citations
Peers
Comparison fields: 5 of 63
- Aerospace Engineering 224
- Artificial Intelligence 152
- Electrical and Electronic Engineering 97
- Computer Vision and Pattern Recognition 93
- Automotive Engineering 66
Countries citing papers authored by Denis Pomorski
This map shows the geographic impact of Denis Pomorski'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 Denis Pomorski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Denis Pomorski more than expected).
Fields of papers citing papers by Denis Pomorski
This network shows the impact of papers produced by Denis Pomorski. 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 Denis Pomorski. The network helps show where Denis Pomorski may publish in the future.
Co-authorship network of co-authors of Denis Pomorski
This figure shows the co-authorship network connecting the top 25 collaborators of Denis Pomorski. A scholar is included among the top collaborators of Denis Pomorski 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 Denis Pomorski. Denis Pomorski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 11 | |
| 3 | 8 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 16 | |
| 7 | 13 | |
| 8 | A novel geo-localisation method using GPS, 3D-GIS and laser scanner for intelligent vehicle navigation in urban areas | 6 |
| 9 | Multi-sensors data fusion using Dynamic Bayesian Network for robotised vehicle geo-localisation | 15 |
| 10 | 3 | |
| 11 | Obstacles detection and localisation with 3D geographical model and monovision | 2 |
| 12 | 4 | |
| 13 | 14 | |
| 14 | 6 | |
| 15 | 269 | |
| 16 | 2 | |
| 17 | 15 | |
| 18 | 1 | |
| 19 | Optimisation entropique des systèmes de détection distribuée | 1 |
| 20 | 2 |
About Denis Pomorski
Denis Pomorski is a scholar working on Aerospace Engineering, Artificial Intelligence and Instrumentation, having authored 20 papers that have together received 397 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (12 papers), Target Tracking and Data Fusion in Sensor Networks (8 papers) and Distributed Sensor Networks and Detection Algorithms (4 papers). The work is most often cited by research in Aerospace Engineering (224 citations), Automotive Engineering (66 citations) and Artificial Intelligence (152 citations). Denis Pomorski has collaborated with scholars based in France, Lebanon and Puerto Rico. Frequent co-authors include Emmanuel Duflos, Philippe Vanheeghe, François Caron, Cindy Cappelle, François Charpillet, Maan E. El Najjar, Maan El Badaoui El Najjar, Mohamad Khalil and Christian Vilhelm. Their work appears in journals such as Transportation Research Part C Emerging Technologies, Information Fusion and Signal Processing.
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.