Abderrahim Halimi

2.8k total citations
63 papers, 1.8k citations indexed

About

Abderrahim Halimi is a scholar working on Instrumentation, Biophysics and Environmental Engineering. According to data from OpenAlex, Abderrahim Halimi has authored 63 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Instrumentation, 25 papers in Biophysics and 15 papers in Environmental Engineering. Recurrent topics in Abderrahim Halimi's work include Advanced Optical Sensing Technologies (42 papers), Advanced Fluorescence Microscopy Techniques (25 papers) and Remote Sensing and LiDAR Applications (13 papers). Abderrahim Halimi is often cited by papers focused on Advanced Optical Sensing Technologies (42 papers), Advanced Fluorescence Microscopy Techniques (25 papers) and Remote Sensing and LiDAR Applications (13 papers). Abderrahim Halimi collaborates with scholars based in United Kingdom, France and China. Abderrahim Halimi's co-authors include Gerald S. Buller, Nicolas Dobigeon, Yoann Altmann, Jean–Yves Tourneret, Aongus McCarthy, Stephen McLaughlin, A. Pawlikowska, Robert A. Lamb, Rachael Tobin and Jean-Yves Tourneret and has published in prestigious journals such as NeuroImage, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Abderrahim Halimi

56 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abderrahim Halimi United Kingdom 20 956 572 501 340 301 63 1.8k
Ove Steinvall Sweden 17 726 0.8× 38 0.1× 73 0.1× 334 1.0× 25 0.1× 126 1.2k
Ioannis Gkioulekas United States 21 294 0.3× 124 0.2× 81 0.2× 59 0.2× 8 0.0× 60 1.2k
Haofeng Hu China 28 34 0.0× 771 1.3× 108 0.2× 83 0.2× 34 0.1× 129 2.5k
Gerald C. Holst United States 13 75 0.1× 181 0.3× 36 0.1× 32 0.1× 23 0.1× 55 1.2k
Ivo Ihrke Germany 21 96 0.1× 270 0.5× 51 0.1× 57 0.2× 19 0.1× 61 1.6k
Fraser Dalgleish United States 16 164 0.2× 119 0.2× 24 0.0× 59 0.2× 15 0.0× 84 1.0k
Daiyin Zhu China 26 70 0.1× 180 0.3× 45 0.1× 75 0.2× 28 0.1× 273 2.6k
Guang‐Cai Sun China 32 66 0.1× 147 0.3× 37 0.1× 134 0.4× 63 0.2× 191 3.1k
Mou Wang China 15 78 0.1× 102 0.2× 49 0.1× 32 0.1× 16 0.1× 58 1.3k
Rama Krishna Gorthi India 13 35 0.0× 239 0.4× 59 0.1× 40 0.1× 45 0.1× 56 941

Countries citing papers authored by Abderrahim Halimi

Since Specialization
Citations

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

Fields of papers citing papers by Abderrahim Halimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abderrahim Halimi

This figure shows the co-authorship network connecting the top 25 collaborators of Abderrahim Halimi. A scholar is included among the top collaborators of Abderrahim Halimi 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 Abderrahim Halimi. Abderrahim Halimi 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.
Halimi, Abderrahim, et al.. (2026). DTU-Net: A Multi-Scale Dilated Transformer Network for Nonlinear Hyperspectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing. 64. 1–17.
2.
Halimi, Abderrahim, et al.. (2025). Review of state-of-the-art surface defect detection on wind turbine blades through aerial imagery: Challenges and recommendations. Engineering Applications of Artificial Intelligence. 144. 109970–109970. 6 indexed citations
3.
Halimi, Abderrahim, et al.. (2025). Bayesian Multifractal Image Segmentation. IEEE Transactions on Image Processing. 34. 8500–8510.
4.
Wilson, Lewis, et al.. (2025). Super-resolution depth imaging via processing of compact single-photon histogram parameters. Optics Express. 33(11). 23657–23657.
5.
Halimi, Abderrahim, et al.. (2023). Slice-Aided Defect Detection in Ultra High-Resolution Wind Turbine Blade Images. Machines. 11(10). 953–953. 8 indexed citations
6.
Tobin, Rachael, et al.. (2022). Fast Task-Based Adaptive Sampling for 3D Single-Photon Multispectral Lidar Data. IEEE Transactions on Computational Imaging. 8. 174–187. 5 indexed citations
7.
Moreau, Thomas, et al.. (2021). Multivariate semi-blind deconvolution of fMRI time series. NeuroImage. 241. 118418–118418. 9 indexed citations
8.
McLaughlin, Stephen, et al.. (2021). Fast Classification and Depth Estimation for Multispectral Single-Photon LiDAR Data. 1–5. 1 indexed citations
9.
Tobin, Rachael, et al.. (2021). Robust real-time 3D imaging of moving scenes through atmospheric obscurant using single-photon LiDAR. Scientific Reports. 11(1). 11236–11236. 69 indexed citations
10.
McLaughlin, Stephen, et al.. (2021). Robust and Guided Super-resolution for Single-Photon Depth Imaging via a Deep Network. 2021 29th European Signal Processing Conference (EUSIPCO). 716–720. 1 indexed citations
11.
Chan, Susan, Abderrahim Halimi, Feng Zhu, et al.. (2019). Long-range depth imaging using a single-photon detector array and non-local data fusion. Scientific Reports. 9(1). 8075–8075. 46 indexed citations
12.
Halimi, Abderrahim, Ximing Ren, Aongus McCarthy, et al.. (2019). Non-Local Restoration Of Sparse 3d Single-Photon Data. 1–5. 2 indexed citations
13.
Christnacher, Frank, Gerald S. Buller, Rachael Tobin, et al.. (2018). Depth imaging through obscurants using time-correlated single-photon counting. 19. 28–28. 11 indexed citations
14.
Halimi, Abderrahim, Gerald S. Buller, Stephen McLaughlin, & Paul Honeiné. (2017). Denoising Smooth Signals Using a Bayesian Approach: Application to Altimetry. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10(4). 1278–1289. 3 indexed citations
15.
Halimi, Abderrahim, Ximing Ren, Yoann Altmann, et al.. (2017). Restoration of depth and intensity images using a graph laplacian regularization. 8390. 1–5. 3 indexed citations
16.
Halimi, Abderrahim, et al.. (2016). Estimating the Intrinsic Dimension of Hyperspectral Images Using a Noise-Whitened Eigengap Approach. Open Archive Toulouse Archive Ouverte (University of Toulouse). 19 indexed citations
17.
Halimi, Abderrahim, Yoann Altmann, Aongus McCarthy, et al.. (2016). Restoration of intensity and depth images constructed using sparse single-photon data. 86–90. 34 indexed citations
18.
Altmann, Yoann, Aurora Maccarone, Abderrahim Halimi, et al.. (2016). Efficient Range Estimation and Material Quantification from Multispectral Lidar Waveforms. 20. 1–5. 7 indexed citations
19.
Halimi, Abderrahim, Corinne Mailhes, Jean‐Yves Tourneret, François Boy, & Thomas Moreau. (2014). Including Antenna Mispointing in a Semi-Analytical Model for Delay/Doppler Altimetry. IEEE Transactions on Geoscience and Remote Sensing. 53(2). 598–608. 11 indexed citations
20.
Altmann, Yoann, Abderrahim Halimi, Nicolas Dobigeon, & Jean-Yves Tourneret. (2012). Supervised Nonlinear Spectral Unmixing Using a Postnonlinear Mixing Model for Hyperspectral Imagery. IEEE Transactions on Image Processing. 21(6). 3017–3025. 177 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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