Sylvie Daniel

698 total citations
43 papers, 414 citations indexed

About

Sylvie Daniel is a scholar working on Environmental Engineering, Computer Vision and Pattern Recognition and Geology. According to data from OpenAlex, Sylvie Daniel has authored 43 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Environmental Engineering, 10 papers in Computer Vision and Pattern Recognition and 10 papers in Geology. Recurrent topics in Sylvie Daniel's work include Remote Sensing and LiDAR Applications (11 papers), 3D Surveying and Cultural Heritage (10 papers) and Underwater Acoustics Research (7 papers). Sylvie Daniel is often cited by papers focused on Remote Sensing and LiDAR Applications (11 papers), 3D Surveying and Cultural Heritage (10 papers) and Underwater Acoustics Research (7 papers). Sylvie Daniel collaborates with scholars based in Canada, France and United States. Sylvie Daniel's co-authors include Didier Guériot, Sehl Mellouli, Suzana Dragićević, Éric Guilbert, Joshua M. Pearce, Rob Harrap, Mathieu Fortin, Christophe Sintès, Nick Hedley and Juha Hyyppä and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing and ISPRS Journal of Photogrammetry and Remote Sensing.

In The Last Decade

Sylvie Daniel

40 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sylvie Daniel Canada 12 89 81 74 67 63 43 414
Miljenko Lapaine Croatia 9 31 0.3× 28 0.3× 45 0.6× 57 0.9× 16 0.3× 131 438
Yerach Doytsher Israel 15 73 0.8× 16 0.2× 125 1.7× 152 2.3× 24 0.4× 62 561
Weiming Huang China 17 150 1.7× 43 0.5× 121 1.6× 97 1.4× 179 2.8× 65 862
Xuan Shi United States 13 56 0.6× 26 0.3× 23 0.3× 39 0.6× 17 0.3× 60 439
Jens Kersten Germany 13 47 0.5× 12 0.1× 42 0.6× 123 1.8× 28 0.4× 42 736
Jiechen Wang China 11 34 0.4× 12 0.1× 33 0.4× 87 1.3× 15 0.2× 32 300
Lemonia Ragia Greece 10 122 1.4× 18 0.2× 15 0.2× 82 1.2× 23 0.4× 37 331
Jingzhong Li China 11 81 0.9× 9 0.1× 53 0.7× 54 0.8× 29 0.5× 57 447
Tapani Sarjakoski Finland 15 55 0.6× 18 0.2× 38 0.5× 183 2.7× 7 0.1× 57 649
Jochen Schiewe Germany 13 220 2.5× 7 0.1× 64 0.9× 89 1.3× 98 1.6× 59 646

Countries citing papers authored by Sylvie Daniel

Since Specialization
Citations

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

Fields of papers citing papers by Sylvie Daniel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sylvie Daniel

This figure shows the co-authorship network connecting the top 25 collaborators of Sylvie Daniel. A scholar is included among the top collaborators of Sylvie Daniel 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 Sylvie Daniel. Sylvie Daniel 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.
Daniel, Sylvie, et al.. (2025). Distribution-aware contrastive learning for domain adaptation in 3D LiDAR segmentation. Computer Vision and Image Understanding. 259. 104438–104438.
2.
Daniel, Sylvie, et al.. (2024). A Likelihood-Based Triangulation Method for Uncertainties in Through-Water Depth Mapping. Remote Sensing. 16(21). 4098–4098.
3.
Trudel, Mélanie, et al.. (2024). LiDAR topo‐bathymetry for riverbed elevation assessment: A review of approaches and performance for hydrodynamic modelling of flood plains. Earth Surface Processes and Landforms. 49(9). 2585–2600. 2 indexed citations
4.
Daniel, Sylvie, et al.. (2023). Data Preparation Impact on Semantic Segmentation of 3D Mobile LiDAR Point Clouds Using Deep Neural Networks. Remote Sensing. 15(4). 982–982. 3 indexed citations
5.
Daniel, Sylvie, et al.. (2022). An Approach for the Automatic Characterization of Underwater Dunes in Fluviomarine Context. Geosciences. 12(2). 89–89. 7 indexed citations
6.
Mellouli, Sehl, et al.. (2022). Understanding issues with stakeholders participation processes : A conceptual model of SPPs' dimensions of issues. Government Information Quarterly. 39(2). 101668–101668. 8 indexed citations
7.
Daniel, Sylvie, et al.. (2021). A Segmentation Approach to Identify Underwater Dunes from Digital Bathymetric Models. Geosciences. 11(9). 361–361. 9 indexed citations
8.
Daniel, Sylvie, et al.. (2020). Coarse-to-Fine Registration of Airborne LiDAR Data and Optical Imagery on Urban Scenes. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 3125–3144. 7 indexed citations
9.
Virtanen, Juho‐Pekka, et al.. (2020). Interactive dense point clouds in a game engine. ISPRS Journal of Photogrammetry and Remote Sensing. 163. 375–389. 26 indexed citations
10.
Daniel, Sylvie, et al.. (2019). Multidimensional Web GIS Approach for Citizen Participation on Urban Evolution. ISPRS International Journal of Geo-Information. 8(6). 253–253. 20 indexed citations
11.
12.
Mellouli, Sehl, et al.. (2017). Towards a Context-based Citizen Participation Approach. 204–213. 9 indexed citations
13.
Daniel, Sylvie, et al.. (2015). An OWL-Based Mobile GeoBI Context Ontology Enabling Location-Based and Context-Based Reasoning and Supporting Contextual Business Analysis. International Journal of Geosciences. 6(1). 88–108. 2 indexed citations
14.
Daniel, Sylvie, et al.. (2014). Revue Des Méthodes De Prétraitement Des Données D’imagerie Hyperspectrale Acquises Depuis Un Drone. GEOMATICA. 68(4). 331–343. 3 indexed citations
15.
Daniel, Sylvie, et al.. (2013). Context-based mobile GeoBI: enhancing business analysis with contextual metrics/statistics and context-based reasoning. GeoInformatica. 18(2). 405–433. 1 indexed citations
16.
Daniel, Sylvie, et al.. (2012). Mobile and Context-Aware GeoBI Applications: A Multilevel Model for Structuring and Sharing of Contextual Information. Journal of Geographic Information System. 4(5). 425–443. 5 indexed citations
17.
Daniel, Sylvie, et al.. (2011). Mind your game, game your mind! Mobile gaming for co-constructing knowledge. EdMedia: World Conference on Educational Media and Technology. 2011(1). 324–334. 5 indexed citations
18.
Pearce, Joshua M., et al.. (2011). The application of smartphone technology to economic and environmental analysis of building energy conservation strategies. International Journal of Sustainable Energy. 31(5). 295–311. 22 indexed citations
19.
Daniel, Sylvie, Rob Harrap, & Michael Power. (2009). Getting Into Position: Serious Gaming in Geomatics. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2009(1). 213–219. 2 indexed citations
20.
Daniel, Sylvie, et al.. (2008). Saisie semi-automatique de bâtiments 3D dans une BD à représentations multiples. Vers une approche intégrée. Revue internationale de géomatique. 18(1). 67–94. 1 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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