Nesrine Chehata

1.9k total citations · 1 hit paper
46 papers, 1.2k citations indexed

About

Nesrine Chehata is a scholar working on Ecology, Environmental Engineering and Media Technology. According to data from OpenAlex, Nesrine Chehata has authored 46 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Ecology, 23 papers in Environmental Engineering and 17 papers in Media Technology. Recurrent topics in Nesrine Chehata's work include Remote Sensing and LiDAR Applications (22 papers), Remote Sensing in Agriculture (21 papers) and Remote-Sensing Image Classification (17 papers). Nesrine Chehata is often cited by papers focused on Remote Sensing and LiDAR Applications (22 papers), Remote Sensing in Agriculture (21 papers) and Remote-Sensing Image Classification (17 papers). Nesrine Chehata collaborates with scholars based in France, Tunisia and Portugal. Nesrine Chehata's co-authors include Clément Mallet, Li Guo, Samia Boukir, Loïc Landrieu, Vivien Sainte Fare Garnot, António Ferraz, Sébastien Giordano, Dominique Guyon, Arnaud Le Bris and Frédéric Bretar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Nesrine Chehata

45 papers receiving 1.2k citations

Hit Papers

align trajectories

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.

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 →

Peers

Countries citing papers authored by Nesrine Chehata

Since Specialization

Citations

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

Fields of papers citing papers by Nesrine Chehata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nesrine Chehata

This figure shows the co-authorship network connecting the top 25 collaborators of Nesrine Chehata. A scholar is included among the top collaborators of Nesrine Chehata 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 Nesrine Chehata. Nesrine Chehata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	SynSection: Sedimentology-driven data generation for deep learning applications in carbonates petrography 2025 ·Marine and Petroleum Geology ·(unknown), Richard Labourdette, (unknown), Sébastien Guillon, Raphaël Bourillot, (unknown), Nesrine Chehata	0
2	Monitoring of sea surface temperature, chlorophyll, and turbidity in Tunisian waters from 2005 to 2020 using MODIS imagery and the Google Earth Engine 2023 ·Regional Studies in Marine Science ·(unknown), (unknown), (unknown), (unknown), Nesrine Chehata	10
3	Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans 2022 ·2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) ·(unknown), Loïc Landrieu, Clément Mallet, Nesrine Chehata	3
4	Satellite Image Time Series Classification With Pixel-Set Encoders and Temporal Self-Attention 2020 ·arXiv (Cornell University) ·Vivien Sainte Fare Garnot, Loïc Landrieu, Sébastien Giordano, Nesrine Chehata	42
5	Time-Space Tradeoff in Deep Learning Models for Crop Classification on Satellite Multi-Spectral Image Time Series 2019 ·SPIRE - Sciences Po Institutional REpository ·Vivien Sainte Fare Garnot, Loïc Landrieu, Sébastien Giordano, Nesrine Chehata	37
6	Crop-Rotation Structured Classification using Multi-Source Sentinel Images and LPIS for Crop Type Mapping 2018 ·HAL (Le Centre pour la Communication Scientifique Directe) ·(unknown), Sébastien Giordano, Loïc Landrieu, Nesrine Chehata	15
7	Parcel-Based Active Learning for Large Extent Cultivated Area Mapping 2017 ·IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ·(unknown), Nesrine Chehata, Jean‐Stéphane Bailly, Imed Riadh Farah, Philippe Lagacherie	8
8	A TWO-STEP DECISION FUSION STRATEGY: APPLICATION TO HYPERSPECTRAL AND MULTISPECTRAL IMAGES FOR URBAN CLASSIFICATION 2017 ·SHILAP Revista de lepidopterología ·(unknown), Arnaud Le Bris, Nesrine Chehata, Clément Mallet	4
9	SPECTRAL BAND SELECTION FOR URBAN MATERIAL CLASSIFICATION USING HYPERSPECTRAL LIBRARIES 2016 ·SHILAP Revista de lepidopterología ·Arnaud Le Bris, Nesrine Chehata, Xavier Briottet, Nicolas Paparoditis	16
10	A random forest class memberships based wrapper band selection criterion: Application to hyperspectral 2015 ·Arnaud Le Bris, Nesrine Chehata, Xavier Briottet, Nicolas Paparoditis	8
11	Object-based change detection in wind storm-damaged forest using high-resolution multispectral images 2014 ·International Journal of Remote Sensing ·Nesrine Chehata, (unknown), Samia Boukir, Dominique Guyon, Jean‐Pierre Wigneron	59
12	Automated retrieval of forest structure variables based on multi-scale texture analysis of VHR satellite imagery 2014 ·ISPRS Journal of Photogrammetry and Remote Sensing ·(unknown), Dominique Guyon, Samia Boukir, Nesrine Chehata	33
13	Identify important spectrum bands for classification using importances of wrapper selection applied to hyperspectral data 2014 ·Arnaud Le Bris, Nesrine Chehata, Xavier Briottet, Nicolas Paparoditis	4
14	Contribution of band selection and fusion for hyperspectral classification 2014 ·Nesrine Chehata, Arnaud Le Bris, (unknown)	6
15	Classification of remote sensing data using margin-based ensemble methods 2013 ·Samia Boukir, (unknown), Nesrine Chehata	9
16	Support Vectors Selection for Supervised Learning Using an Ensemble Approach 2010 ·Li Guo, Samia Boukir, Nesrine Chehata	14
17	Relevance of airborne lidar and multispectral image data for urban scene classification using Random Forests breakdown → 2010 ·ISPRS Journal of Photogrammetry and Remote Sensing ·Li Guo, Nesrine Chehata, Clément Mallet, Samia Boukir	387
18	A graph cut optimization guided by 3D-features for surface height recovery 2008 ·ISPRS Journal of Photogrammetry and Remote Sensing ·Nesrine Chehata, (unknown), Georges Stamon	6
19	A Region-Based Matching Approach for 3D-Roof Reconstruction from HR Satellite Stereo Pairs 2003 ·Nesrine Chehata, (unknown), François Pierrot, Georges Stamon	7
20	Extraction of 3D primitives from stereopairs of satellite images for automatic reconstruction of buildings 2002 ·Machine Vision and Applications ·Nesrine Chehata, François Pierrot, (unknown), Georges Stamon	5

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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