Jón Atli Benediktsson
Impact in
- Media Technology top 0.01%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
- Computational Mathematics top 1%
Papers in
- Media Technology 396
- Remote-Sensing Image Classification 367
- Advanced Image Fusion Techniques 42
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- Image and Signal Denoising Methods 37
- Co-authors
- Jocelyn Chanussot (95 shared papers)Jóhannes R. Sveinsson (99 shared papers)Mathieu Fauvel (34 shared papers)Shutao Li (42 shared papers)Pedram Ghamisi (41 shared papers)Yuliya Tarabalka (17 shared papers)Lorenzo Bruzzone (42 shared papers)Xudong Kang (24 shared papers)
In The Last Decade
Jón Atli Benediktsson
505 papers receiving 37.9k citations
Jón Atli Benediktsson's Hit Papers
Peers
Comparison fields: 5 of 179
- Media Technology 28.7k
- Computational Mathematics 126
- Computer Vision and Pattern Recognition 3.5k
- Ocean Engineering 1.3k
- Environmental Engineering 892
Countries citing papers authored by Jón Atli Benediktsson
This map shows the geographic impact of Jón Atli Benediktsson'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 Jón Atli Benediktsson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jón Atli Benediktsson more than expected).
Fields of papers citing papers by Jón Atli Benediktsson
This network shows the impact of papers produced by Jón Atli Benediktsson. 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 Jón Atli Benediktsson. The network helps show where Jón Atli Benediktsson may publish in the future.
Co-authors
The 25 scholars most cited alongside Jón Atli Benediktsson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 528 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Random Forests for land cover classification Hit paper breakdown → | 2005 | 1887 |
| 2 | Recent advances in techniques for hyperspectral image processing Hit paper breakdown → | 2009 | 1426 |
| 3 | Classification of hyperspectral data from urban areas based on extended morphological profiles Hit paper breakdown → | 2005 | 1253 |
| 4 | Advances in Spectral-Spatial Classification of Hyperspectral Images Hit paper breakdown → | 2012 | 1110 |
| 5 | Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Morphological Profiles Hit paper breakdown → | 2008 | 912 |
| 6 | Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles Hit paper breakdown → | 2007 | 816 |
| 7 | Neural Network Approaches Versus Statistical Methods In Classification Of Multisource Remote Sensing Data Hit paper breakdown → | 1990 | 781 |
| 8 | A new approach for the morphological segmentation of high-resolution satellite imagery Hit paper breakdown → | 2001 | 708 |
| 9 | SpectralGPT: Spectral Remote Sensing Foundation Model Hit paper breakdown → | 2024 | 680 |
| 10 | SVM- and MRF-Based Method for Accurate Classification of Hyperspectral Images Hit paper breakdown → | 2010 | 675 |
| 11 | Generative Adversarial Networks for Hyperspectral Image Classification Hit paper breakdown → | 2018 | 653 |
| 12 | Classification and feature extraction for remote sensing images from urban areas based on morphological transformations Hit paper breakdown → | 2003 | 647 |
| 13 | Advances in Hyperspectral Image Classification: Earth Monitoring with Statistical Learning Methods Hit paper breakdown → | 2013 | 647 |
| 14 | Morphological Attribute Profiles for the Analysis of Very High Resolution Images Hit paper breakdown → | 2010 | 644 |
| 15 | Spectral–Spatial Hyperspectral Image Classification With Edge-Preserving Filtering Hit paper breakdown → | 2013 | 630 |
| 16 | Spectral–Spatial Classification of Hyperspectral Imagery Based on Partitional Clustering Techniques Hit paper breakdown → | 2009 | 591 |
| 17 | Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art Hit paper breakdown → | 2019 | 478 |
| 18 | Segmentation and classification of hyperspectral images using watershed transformation Hit paper breakdown → | 2010 | 477 |
| 19 | Big Data for Remote Sensing: Challenges and Opportunities Hit paper breakdown → | 2016 | 471 |
| 20 | Generalized Composite Kernel Framework for Hyperspectral Image Classification Hit paper breakdown → | 2013 | 443 |
About Jón Atli Benediktsson
Jón Atli Benediktsson is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Ocean Engineering, Artificial Intelligence and Atmospheric Science, having authored 528 papers that have together received 39.2k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (367 papers), Advanced Image Fusion Techniques (42 papers), Image and Signal Denoising Methods (37 papers), Neural Networks and Applications (17 papers), Retinal Imaging and Analysis (13 papers), Satellite Image Processing and Photogrammetry (13 papers), Automated Road and Building Extraction (9 papers) and Remote Sensing and Land Use (9 papers). The work is most often cited by research in Media Technology (28.7k citations), Computational Mathematics (126 citations), Computer Vision and Pattern Recognition (3.5k citations), Ocean Engineering (1.3k citations) and Environmental Engineering (892 citations). Jón Atli Benediktsson has collaborated with scholars based in Iceland, China and France. Frequent co-authors include Jocelyn Chanussot, Jóhannes R. Sveinsson, Mathieu Fauvel, Shutao Li, Pedram Ghamisi, Yuliya Tarabalka, Lorenzo Bruzzone, Xudong Kang, Mauro Dalla Mura and Björn Waske. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Geoscience and Remote Sensing Letters, Remote Sensing and Proceedings of the IEEE.
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.