Behnood Rasti

4.2k total citations · 3 hit papers
72 papers, 3.2k citations indexed

About

Behnood Rasti is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science. According to data from OpenAlex, Behnood Rasti has authored 72 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Media Technology, 28 papers in Computer Vision and Pattern Recognition and 17 papers in Atmospheric Science. Recurrent topics in Behnood Rasti's work include Remote-Sensing Image Classification (60 papers), Advanced Image Fusion Techniques (37 papers) and Image and Signal Denoising Methods (22 papers). Behnood Rasti is often cited by papers focused on Remote-Sensing Image Classification (60 papers), Advanced Image Fusion Techniques (37 papers) and Image and Signal Denoising Methods (22 papers). Behnood Rasti collaborates with scholars based in Germany, Iceland and Belgium. Behnood Rasti's co-authors include Pedram Ghamisi, Antonio Plaza, Paul Scheunders, Magnús Ö. Úlfarsson, Jocelyn Chanussot, Richard Gloaguen, Naoto Yokoya, Javier Plaza, Jóhannes R. Sveinsson and Bikram Koirala and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Behnood Rasti

69 papers receiving 3.1k 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.

Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art

2017 647 citations Pedram Ghamisi, Naoto Yokoya et al. IEEE Geoscience and Remote Sensing Magazine profile →
Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art

2019 418 citations Pedram Ghamisi, Richard Gloaguen et al. IEEE Geoscience and Remote Sensing Magazine profile →
Multimodal Fusion Transformer for Remote Sensing Image Classification

2023 311 citations Behnood Rasti, Antonio Plaza et al. IEEE Transactions on Geoscience and Remote Sensing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Behnood Rasti Germany	25	2.5k	1.1k	973	423	409	72	3.2k
Hongjun Su China	30	2.8k 1.1×	1.2k 1.1×	1.7k 1.7×	584 1.4×	360 0.9×	145	3.9k
Renlong Hang China	27	2.1k 0.9×	973 0.9×	1.2k 1.2×	351 0.8×	428 1.0×	71	3.0k
Giorgio Licciardi Italy	19	3.0k 1.2×	1.9k 1.8×	558 0.6×	277 0.7×	373 0.9×	49	3.5k
Zilong Zhong Canada	11	1.8k 0.7×	736 0.7×	1.2k 1.2×	245 0.6×	206 0.5×	18	2.6k
Xinyu Wang China	24	1.6k 0.6×	605 0.6×	774 0.8×	297 0.7×	439 1.1×	96	2.5k
Swalpa Kumar Roy India	25	3.0k 1.2×	1.1k 1.1×	1.7k 1.8×	517 1.2×	364 0.9×	71	4.0k
Xiangtao Zheng China	33	2.4k 1.0×	2.2k 2.0×	1.1k 1.1×	645 1.5×	294 0.7×	72	3.8k
Le Sun China	27	2.1k 0.8×	978 0.9×	1.1k 1.1×	238 0.6×	186 0.5×	117	2.6k
Bertrand Le Saux Italy	25	1.6k 0.7×	1.0k 0.9×	822 0.8×	620 1.5×	537 1.3×	97	3.4k
J. Chanussot France	16	2.8k 1.1×	849 0.8×	1.8k 1.9×	359 0.8×	548 1.3×	30	3.2k

Countries citing papers authored by Behnood Rasti

Since Specialization

Citations

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

Fields of papers citing papers by Behnood Rasti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Behnood Rasti

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Li, Jun, et al.. (2025). Low-Latency Neural Network for Efficient Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 7374–7390. 1 indexed citations

Koirala, Bikram, et al.. (2024). Nonlinear Spectral Unmixing Using Bézier Surfaces. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 4 indexed citations

Fuchs, Margret, et al.. (2024). PCB-Vision: A Multiscene RGB-Hyperspectral Benchmark Dataset of Printed Circuit Boards. IEEE Sensors Journal. 24(10). 17140–17158. 5 indexed citations

Cai, Yaoming, Zijia Zhang, Pedram Ghamisi, et al.. (2023). Transformer-based contrastive prototypical clustering for multimodal remote sensing data. Information Sciences. 649. 119655–119655. 24 indexed citations

Koirala, Bikram, Behnood Rasti, Sandra Lorenz, et al.. (2023). A Multisensor Hyperspectral Benchmark Dataset for Unmixing of Intimate Mixtures. IEEE Sensors Journal. 24(4). 4694–4710. 6 indexed citations

Ghamisi, Pedram, et al.. (2022). MS$^{2}$A-Net: Multiscale Spectral–Spatial Association Network for Hyperspectral Image Clustering. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 6518–6530. 15 indexed citations

Ghamisi, Pedram, et al.. (2021). Unsupervised Data Fusion With Deeper Perspective: A Novel Multisensor Deep Clustering Algorithm. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 284–296. 29 indexed citations

Rasti, Behnood, Pedram Ghamisi, & Richard Gloaguen. (2021). OptFus: Optical Sensor Fusion for the Classification of Multisource Data: Application to Mineralogical Mapping. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 2 indexed citations

Rasti, Behnood, Bikram Koirala, Paul Scheunders, & Pedram Ghamisi. (2021). UnDIP: Hyperspectral Unmixing Using Deep Image Prior. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–15. 90 indexed citations

10.

Rasti, Behnood, Pedram Ghamisi, Peter Seidel, Sandra Lorenz, & Richard Gloaguen. (2020). Multiple Optical Sensor Fusion for Mineral Mapping of Core Samples. Sensors. 20(13). 3766–3766. 5 indexed citations

11.

Li, Hao, et al.. (2020). A Multi-Sensor Fusion Framework Based on Coupled Residual Convolutional Neural Networks. Remote Sensing. 12(12). 2067–2067. 25 indexed citations

12.

Rasti, Behnood, Bikram Koirala, Paul Scheunders, & Pedram Ghamisi. (2020). How Hyperspectral Image Unmixing and Denoising Can Boost Each Other. Remote Sensing. 12(11). 1728–1728. 14 indexed citations

13.

Rasti, Behnood, Pedram Ghamisi, & Jón Atli Benediktsson. (2019). Hyperspectral Mixed Gaussian and Sparse Noise Reduction. IEEE Geoscience and Remote Sensing Letters. 17(3). 474–478. 36 indexed citations

14.

Ghamisi, Pedram, Richard Gloaguen, Peter M. Atkinson, et al.. (2019). Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art. IEEE Geoscience and Remote Sensing Magazine. 7(1). 6–39. 418 indexed citations breakdown →

15.

Rasti, Behnood, Pedram Ghamisi, & Magnús Ö. Úlfarsson. (2019). Hyperspectral Feature Extraction Using Sparse and Smooth Low-Rank Analysis. Remote Sensing. 11(2). 121–121. 16 indexed citations

16.

Ghamisi, Pedram, Behnood Rasti, & Jón Atli Benediktsson. (2018). Multisensor Composite Kernels Based on Extreme Learning Machines. IEEE Geoscience and Remote Sensing Letters. 16(2). 196–200. 16 indexed citations

17.

Rasti, Behnood, Magnús Ö. Úlfarsson, & Pedram Ghamisi. (2017). Automatic Hyperspectral Image Restoration Using Sparse and Low-Rank Modeling. IEEE Geoscience and Remote Sensing Letters. 14(12). 2335–2339. 54 indexed citations

18.

Ghamisi, Pedram, Naoto Yokoya, Jun Li, et al.. (2017). Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art. IEEE Geoscience and Remote Sensing Magazine. 5(4). 37–78. 647 indexed citations breakdown →

19.

Rasti, Behnood, Pedram Ghamisi, & Richard Gloaguen. (2017). Hyperspectral and LiDAR Fusion Using Extinction Profiles and Total Variation Component Analysis. IEEE Transactions on Geoscience and Remote Sensing. 55(7). 3997–4007. 167 indexed citations

20.

Rasti, Behnood, Pedram Ghamisi, Javier Plaza, & Antonio Plaza. (2017). Fusion of Hyperspectral and LiDAR Data Using Sparse and Low-Rank Component Analysis. IEEE Transactions on Geoscience and Remote Sensing. 55(11). 6354–6365. 117 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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