Imane Sebari

818 total citations
41 papers, 601 citations indexed

About

Imane Sebari is a scholar working on Environmental Engineering, Renewable Energy, Sustainability and the Environment and Computer Vision and Pattern Recognition. According to data from OpenAlex, Imane Sebari has authored 41 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Environmental Engineering, 12 papers in Renewable Energy, Sustainability and the Environment and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Imane Sebari's work include Photovoltaic System Optimization Techniques (11 papers), Remote Sensing and LiDAR Applications (10 papers) and Remote Sensing in Agriculture (8 papers). Imane Sebari is often cited by papers focused on Photovoltaic System Optimization Techniques (11 papers), Remote Sensing and LiDAR Applications (10 papers) and Remote Sensing in Agriculture (8 papers). Imane Sebari collaborates with scholars based in Morocco, United States and Germany. Imane Sebari's co-authors include Dong-Chen He, Ghassane Aniba, Reda Yaagoubi, Omar Doukari, Anne Puissant, Jürgen Pilz, Mourad Bouziani, Laila Rasmy, Mohammadreza Aghaei and Moritz Kirsch and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Remote Sensing.

In The Last Decade

Imane Sebari

37 papers receiving 581 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Imane Sebari Morocco	14	166	159	107	102	101	41	601
Manuel Carranza-García Spain	9	37 0.2×	73 0.5×	121 1.1×	152 1.5×	99 1.0×	16	642
Xin Ye China	11	51 0.3×	532 3.3×	39 0.4×	101 1.0×	91 0.9×	32	956
Sylvain Robert France	10	152 0.9×	425 2.7×	77 0.7×	58 0.6×	25 0.2×	19	1.2k
Osmar Luiz Ferreira de Carvalho Brazil	14	17 0.1×	149 0.9×	68 0.6×	74 0.7×	214 2.1×	29	570
Jiguang Zhang China	10	22 0.1×	63 0.4×	56 0.5×	174 1.7×	45 0.4×	40	558
Anesmar Olino de Albuquerque Brazil	11	16 0.1×	134 0.8×	65 0.6×	69 0.7×	178 1.8×	18	470
Reda Yaagoubi Morocco	13	85 0.5×	102 0.6×	171 1.6×	31 0.3×	22 0.2×	37	642
Shen Ying China	17	43 0.3×	216 1.4×	32 0.3×	60 0.6×	23 0.2×	74	757
Zhipeng Luo China	15	12 0.1×	253 1.6×	87 0.8×	219 2.1×	52 0.5×	49	679

Countries citing papers authored by Imane Sebari

Since Specialization

Citations

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

Fields of papers citing papers by Imane Sebari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Imane Sebari

This figure shows the co-authorship network connecting the top 25 collaborators of Imane Sebari. A scholar is included among the top collaborators of Imane Sebari 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 Imane Sebari. Imane Sebari 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

Sebari, Imane, et al.. (2025). A holistic multimodal approach for real-time anomaly detection and classification in large-scale photovoltaic plants. Energy and AI. 21. 100525–100525.

Racharak, Teeradaj, et al.. (2025). A new integrated neurosymbolic approach for crop-yield prediction using environmental data and satellite imagery at field scale. SHILAP Revista de lepidopterología. 6(1). 100125–100125. 1 indexed citations

Sebari, Imane, et al.. (2025). Fast and automatic solar module geo-labeling for optimized large-scale photovoltaic systems inspection from UAV thermal imagery using deep learning segmentation. Cleaner Engineering and Technology. 28. 101048–101048.

Sebari, Imane, et al.. (2025). A cascading decision system for enhanced anomaly classification of large-scale photovoltaic systems using Drone's thermal data with class-imbalance problem. Results in Engineering. 25. 103876–103876. 4 indexed citations

Sebari, Imane, et al.. (2025). Machine and Deep Learning for Wetland Mapping and Bird-Habitat Monitoring: A Systematic Review of Remote-Sensing Applications (2015–April 2025). Remote Sensing. 17(21). 3605–3605. 1 indexed citations

Sebari, Imane, et al.. (2025). Enhancing Urban Resource Management Through Urban and Peri-Urban Agriculture. SHILAP Revista de lepidopterología. 6–6.

Sebari, Imane, et al.. (2025). Towards a Holistic Approach for UAV-Based Large-Scale Photovoltaic Inspection: A Review on Deep Learning and Image Processing Techniques. Technologies. 13(3). 117–117. 5 indexed citations

Sebari, Imane, et al.. (2024). Modeling and spatialization of biomass and carbon stock using unmanned Aerial Vehicle Lidar (Lidar-UAV) metrics and forest inventory in cork oak forest of Maamora. Regional Science Policy & Practice. 16(11). 100127–100127. 4 indexed citations

Thiele, Samuel T., René Booysen, Moritz Kirsch, et al.. (2024). A Spectral and Spatial Comparison of Satellite-Based Hyperspectral Data for Geological Mapping. Remote Sensing. 16(12). 2089–2089. 12 indexed citations

10.

Racharak, Teeradaj, et al.. (2024). A Quantitative Assessment Framework for Modelling and Evaluation Using Representation Learning in Smart Agriculture Ontology. 1044–1051. 1 indexed citations

11.

Sebari, Imane, et al.. (2024). Improving Yield Prediction at Field Scale by Exploring Temporal and Spectral Dependencies in High-Resolution Remotely Sensed Data using At-LSTM and R-PCA. 1364–1368. 1 indexed citations

12.

Sebari, Imane, et al.. (2024). One to segment them All: A Data-based Domain Generalization approach for Solar Module segmentation using Thermal UAV Images. 189. 1751–1755. 1 indexed citations

13.

Sebari, Imane, et al.. (2024). Applied Deep Learning-Based Crop Yield Prediction: A Systematic Analysis of Current Developments and Potential Challenges. SHILAP Revista de lepidopterología. 12(4). 43–43. 30 indexed citations

14.

Sebari, Imane, et al.. (2024). Can Pixel-Based Approach Achieve Similar Performance to Area-Based Approach in Crop Yield Forecasting Using Sentinel-2 Imagery and Deep Neural Networks? A Probabilistic Analysis. 1–6. 2 indexed citations

15.

Sebari, Imane, et al.. (2023). A layer-2 solution for inspecting large-scale photovoltaic arrays through aerial LWIR multiview photogrammetry and deep learning: A hybrid data-centric and model-centric approach. Expert Systems with Applications. 223. 119950–119950. 18 indexed citations

16.

Aghaei, Mohammadreza, et al.. (2023). Advanced Classification of Failure-Related Patterns on Solar Photovoltaic Farms Through Multiview Photogrammetry Thermal Infrared Sensing by Drones and Deep Learning. 1 indexed citations

17.

Rasmy, Laila, et al.. (2021). Automatic Sub-Pixel Co-Registration of Remote Sensing Images Using Phase Correlation and Harris Detector. Remote Sensing. 13(12). 2314–2314. 15 indexed citations

18.

Sebari, Imane, et al.. (2021). Detection and Counting of Fruit Trees from RGB UAV Images by Convolutional Neural Networks Approach. Advances in Science Technology and Engineering Systems Journal. 6(2). 887–893. 4 indexed citations

19.

Puissant, Anne, et al.. (2020). Towards a Multi-Temporal Deep Learning Approach for Mapping Urban Fabric Using Sentinel 2 Images. Remote Sensing. 12(3). 423–423. 39 indexed citations

20.

Sebari, Imane & Dong-Chen He. (2009). Approach to nonparametric cooperative multiband segmentation with adaptive threshold. Applied Optics. 48(20). 3967–3967. 5 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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