Florent Poux

1.0k total citations
35 papers, 713 citations indexed

About

Florent Poux is a scholar working on Geology, Environmental Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Florent Poux has authored 35 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Geology, 22 papers in Environmental Engineering and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Florent Poux's work include 3D Surveying and Cultural Heritage (30 papers), Remote Sensing and LiDAR Applications (22 papers) and 3D Shape Modeling and Analysis (9 papers). Florent Poux is often cited by papers focused on 3D Surveying and Cultural Heritage (30 papers), Remote Sensing and LiDAR Applications (22 papers) and 3D Shape Modeling and Analysis (9 papers). Florent Poux collaborates with scholars based in Belgium, Morocco and Germany. Florent Poux's co-authors include Roland Billen, Romain Neuville, Leif Kobbelt, Pierre Hallot, Rafika Hajji, Maarten Vergauwen, Maarten Bassier, J. Pouliot, Fabio Remondino and Eleonora Grilli and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Remote Sensing.

In The Last Decade

Florent Poux

32 papers receiving 698 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Florent Poux Belgium 17 504 380 176 145 116 35 713
Eleonora Grilli Italy 14 846 1.7× 575 1.5× 233 1.3× 109 0.8× 162 1.4× 23 1.0k
Maarten Bassier Belgium 15 497 1.0× 340 0.9× 75 0.4× 189 1.3× 51 0.4× 44 594
Jesús Balado Spain 14 423 0.8× 399 1.1× 114 0.6× 116 0.8× 64 0.6× 66 716
Arnadi Murtiyoso France 17 844 1.7× 557 1.5× 143 0.8× 170 1.2× 46 0.4× 62 1.0k
Mathieu Brédif France 15 388 0.8× 523 1.4× 249 1.4× 69 0.5× 110 0.9× 56 827
Francesco Fassi Italy 18 985 2.0× 434 1.1× 212 1.2× 189 1.3× 31 0.3× 84 1.2k
Andrea Piemonte Italy 14 536 1.1× 256 0.7× 108 0.6× 69 0.5× 25 0.2× 55 658
Gabriella Caroti Italy 14 535 1.1× 252 0.7× 111 0.6× 69 0.5× 25 0.2× 59 652
Mario Soilán Spain 20 705 1.4× 701 1.8× 177 1.0× 187 1.3× 89 0.8× 42 1.1k
Massimo Martini Italy 8 324 0.6× 194 0.5× 120 0.7× 48 0.3× 67 0.6× 13 447

Countries citing papers authored by Florent Poux

Since Specialization
Citations

This map shows the geographic impact of Florent Poux'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 Florent Poux with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florent Poux more than expected).

Fields of papers citing papers by Florent Poux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Florent Poux. 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 Florent Poux. The network helps show where Florent Poux may publish in the future.

Co-authorship network of co-authors of Florent Poux

This figure shows the co-authorship network connecting the top 25 collaborators of Florent Poux. A scholar is included among the top collaborators of Florent Poux 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 Florent Poux. Florent Poux 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
1.
Hajji, Rafika, et al.. (2024). Investigating Prior-Level Fusion Approaches for Enriched Semantic Segmentation of Urban LiDAR Point Clouds. Remote Sensing. 16(2). 329–329. 3 indexed citations
2.
Nguyen, Thanh Toan, et al.. (2024). Explainable Neural Subgraph Matching With Learnable Multi-Hop Attention. IEEE Access. 12. 130474–130492.
3.
Poux, Florent, et al.. (2022). Three Dimensional Change Detection Using Point Clouds: A Review. SHILAP Revista de lepidopterología. 2(4). 457–485. 34 indexed citations
4.
Hajji, Rafika, et al.. (2022). A Prior Level Fusion Approach for the Semantic Segmentation of 3D Point Clouds Using Deep Learning. Remote Sensing. 14(14). 3415–3415. 16 indexed citations
5.
Hajji, Rafika, et al.. (2021). 3D Point Cloud Semantic Augmentation: Instance Segmentation of 360° Panoramas by Deep Learning Techniques. Remote Sensing. 13(18). 3647–3647. 6 indexed citations
6.
Poux, Florent. (2020). How to automate LiDAR point cloud sub-sampling with Python. Open Repository and Bibliography (University of Liège). 2 indexed citations
7.
Poux, Florent. (2020). Fundamentals to clustering high-dimensional data (3D point clouds). Open Repository and Bibliography (University of Liège).
8.
Poux, Florent, et al.. (2020). SELF-LEARNING ONTOLOGY FOR INSTANCE SEGMENTATION OF 3D INDOOR POINT CLOUD. SHILAP Revista de lepidopterología. XLIII-B2-2020. 309–316. 16 indexed citations
9.
Bassier, Maarten, Maarten Vergauwen, & Florent Poux. (2020). Point Cloud vs. Mesh Features for Building Interior Classification. Remote Sensing. 12(14). 2224–2224. 34 indexed citations
10.
Poux, Florent, et al.. (2020). UNSUPERVISED SEGMENTATION OF INDOOR 3D POINT CLOUD: APPLICATION TO OBJECT-BASED CLASSIFICATION. SHILAP Revista de lepidopterología. XLIV-4/W1-2020. 111–118. 26 indexed citations
11.
Billen, Roland, et al.. (2020). MARKER-LESS MOBILE AUGMENTED REALITY APPLICATION FOR MASSIVE 3D POINT CLOUDS AND SEMANTICS. SHILAP Revista de lepidopterología. XLIII-B2-2020. 255–261. 9 indexed citations
12.
Poux, Florent & Roland Billen. (2019). Voxel-based 3D Point Cloud Semantic Segmentation: Unsupervised Geometric and Relationship Featuring vs Deep Learning Methods. ISPRS International Journal of Geo-Information. 8(5). 213–213. 103 indexed citations
13.
Hajji, Rafika, et al.. (2019). CLASSIFICATION AND INTEGRATION OF MASSIVE 3D POINTS CLOUDS IN A VIRTUAL REALITY (VR) ENVIRONMENT. SHILAP Revista de lepidopterología. XLII-2/W17. 165–171. 25 indexed citations
14.
Neuville, Romain, J. Pouliot, Florent Poux, & Roland Billen. (2019). 3D Viewpoint Management and Navigation in Urban Planning: Application to the Exploratory Phase. Remote Sensing. 11(3). 236–236. 17 indexed citations
15.
Billen, Roland, et al.. (2018). La transition numérique dans le domaine du patrimoine bâti: un retour d'expériences. 1 indexed citations
16.
Neuville, Romain, et al.. (2018). A Formalized 3D Geovisualization Illustrated to Selectivity Purpose of Virtual 3D City Model. ISPRS International Journal of Geo-Information. 7(5). 194–194. 19 indexed citations
17.
Neuville, Romain, et al.. (2017). TOWARDS A DECISION SUPPORT TOOL FOR 3D VISUALISATION: APPLICATION TO SELECTIVITY PURPOSE OF SINGLE OBJECT IN A 3D CITY SCENE. SHILAP Revista de lepidopterología. IV-4/W5. 91–97. 1 indexed citations
18.
Poux, Florent, Romain Neuville, Pierre Hallot, & Roland Billen. (2017). MODEL FOR SEMANTICALLY RICH POINT CLOUD DATA. SHILAP Revista de lepidopterología. IV-4/W5. 107–115. 15 indexed citations
19.
Hallot, Pierre, et al.. (2016). CASTLE4D: AN ARCHAEOLOGICAL INFORMATION SYSTEM BASED ON 3D POINT CLOUDS. Open Repository and Bibliography (University of Liège).
20.
Poux, Florent, Pierre Hallot, Romain Neuville, & Roland Billen. (2016). SMART POINT CLOUD: DEFINITION AND REMAINING CHALLENGES. SHILAP Revista de lepidopterología. IV-2/W1. 119–127. 41 indexed citations

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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