Samia Boukir

1.6k total citations · 1 hit paper
40 papers, 1.2k citations indexed

About

Samia Boukir is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Ecology. According to data from OpenAlex, Samia Boukir has authored 40 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 12 papers in Ecology. Recurrent topics in Samia Boukir's work include Remote Sensing in Agriculture (11 papers), Machine Learning and Data Classification (11 papers) and Remote Sensing and LiDAR Applications (7 papers). Samia Boukir is often cited by papers focused on Remote Sensing in Agriculture (11 papers), Machine Learning and Data Classification (11 papers) and Remote Sensing and LiDAR Applications (7 papers). Samia Boukir collaborates with scholars based in France, Australia and China. Samia Boukir's co-authors include Nesrine Chehata, Li Guo, Clément Mallet, Andrew Mellor, Li Guo, Simon Jones, Andrew Haywood, Bernard Besserer, Dominique Guyon and Olivier Buisson and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Samia Boukir

39 papers receiving 1.2k citations

Hit Papers

Relevance of airborne lid... 2010 2026 2015 2020 2010 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Relevance of airborne lidar and multispectral image data for urban scene classification using Random Forests
    2010 387 citations Li Guo, Nesrine Chehata et al. ISPRS Journal of Photogrammetry and Remote Sensing profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Samia Boukir 416 405 372 314 241 40 1.2k
Jens Leitloff 549 1.3× 433 1.1× 558 1.5× 288 0.9× 166 0.7× 38 1.9k
Oğuz Güngör 354 0.9× 391 1.0× 220 0.6× 406 1.3× 92 0.4× 50 1.1k
Weijia Li 660 1.6× 714 1.8× 329 0.9× 492 1.6× 155 0.6× 70 1.9k
Xinchang Zhang 439 1.1× 223 0.6× 256 0.7× 413 1.3× 90 0.4× 51 1.2k
Carl Salvaggio 567 1.4× 568 1.4× 376 1.0× 659 2.1× 167 0.7× 77 1.7k
Marco Körner 440 1.1× 477 1.2× 463 1.2× 550 1.8× 152 0.6× 57 1.7k
Nesrine Chehata 704 1.7× 538 1.3× 145 0.4× 287 0.9× 107 0.4× 46 1.2k
Arnt-Børre Salberg 260 0.6× 317 0.8× 461 1.2× 460 1.5× 166 0.7× 64 1.6k
Felix Schiefer 641 1.5× 731 1.8× 166 0.4× 173 0.6× 136 0.6× 13 1.6k
Giona Matasci 345 0.8× 344 0.8× 159 0.4× 349 1.1× 168 0.7× 24 997

Countries citing papers authored by Samia Boukir

Since Specialization
Citations

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

Fields of papers citing papers by Samia Boukir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samia Boukir

This figure shows the co-authorship network connecting the top 25 collaborators of Samia Boukir. A scholar is included among the top collaborators of Samia Boukir 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 Samia Boukir. Samia Boukir 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.
Feng, Wei, Xinting Gao, Samia Boukir, et al.. (2023). Hypothesis Margin-Based Ensemble Method for the Classification of Noisy Remote Sensing Data. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–21. 2 indexed citations
2.
Boukir, Samia & Wei Feng. (2021). Boundary bagging to address training data issues in ensemble classification. 9975–9981. 2 indexed citations
3.
Guo, Li, Samia Boukir, & Alexandre Aussem. (2019). Building bagging on critical instances. Expert Systems. 37(2). 4 indexed citations
4.
Boukir, Samia & Wenjie Feng. (2019). Identifying and Correcting Mislabeled Satellite Image Data by Iterative Ordering of Ensemble Margins. 3093–3096. 1 indexed citations
5.
Feng, Wei, Samia Boukir, & Wenjiang Huang. (2019). Margin-Based Random Forest for Imbalanced Land Cover Classification. 3085–3088. 9 indexed citations
6.
Boukir, Samia & Andrew Mellor. (2017). Ensemble diversity analysis on remote sensing data classification using random forests. 11. 1302–1306. 3 indexed citations
7.
Guyon, Dominique, et al.. (2014). Automated retrieval of forest structure variables based on multi-scale texture analysis of VHR satellite imagery. ISPRS Journal of Photogrammetry and Remote Sensing. 96. 164–178. 33 indexed citations
8.
Chehata, Nesrine, et al.. (2014). Object-based change detection in wind storm-damaged forest using high-resolution multispectral images. International Journal of Remote Sensing. 35(13). 4758–4777. 59 indexed citations
9.
Guo, Li & Samia Boukir. (2014). Ensemble margin framework for image classification. 10. 4231–4235. 15 indexed citations
10.
Boukir, Samia, et al.. (2013). Classification of remote sensing data using margin-based ensemble methods. 2602–2606. 9 indexed citations
11.
Guo, Li, Nesrine Chehata, Clément Mallet, & Samia Boukir. (2010). Relevance of airborne lidar and multispectral image data for urban scene classification using Random Forests. ISPRS Journal of Photogrammetry and Remote Sensing. 66(1). 56–66. 387 indexed citations breakdown →
12.
Guo, Li, Samia Boukir, & Nesrine Chehata. (2010). Support Vectors Selection for Supervised Learning Using an Ensemble Approach. 37–40. 14 indexed citations
13.
Guo, Li, Nesrine Chehata, & Samia Boukir. (2010). A two-pass random forests classification of airborne lidar and image data on urban scenes. 36. 1369–1372. 4 indexed citations
14.
Boukir, Samia, et al.. (2004). Aircraft Pose Estimation from Homography. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 1 indexed citations
15.
Boukir, Samia & David Suter. (2003). Application of rigid motion geometry to film restoration. 1. 360–363. 2 indexed citations
16.
Boukir, Samia, et al.. (2002). Tracking and MAP reconstruction of line scratches in degraded motion pictures. Machine Vision and Applications. 13(3). 119–128. 15 indexed citations
17.
Boukir, Samia, et al.. (2002). Film line scratch removal using Kalman filtering and Bayesian restoration. 8–13. 25 indexed citations
18.
Boukir, Samia, et al.. (2002). HMM-BASED DANCE GESTURE RECOGNITION. 322–326. 4 indexed citations
19.
Joyeux, Luc, Samia Boukir, Bernard Besserer, & O. Buisson. (2001). Reconstruction of degraded image sequences. Application to film restoration. Image and Vision Computing. 19(8). 503–516. 37 indexed citations
20.
Chaumette, François, et al.. (1996). Structure from controlled motion. IEEE Transactions on Pattern Analysis and Machine Intelligence. 18(5). 492–504. 54 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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