Frosti Pálsson

1.4k total citations · 1 hit paper
24 papers, 1.2k citations indexed

About

Frosti Pálsson is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Frosti Pálsson has authored 24 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Media Technology, 13 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in Frosti Pálsson's work include Advanced Image Fusion Techniques (20 papers), Remote-Sensing Image Classification (18 papers) and Image and Signal Denoising Methods (10 papers). Frosti Pálsson is often cited by papers focused on Advanced Image Fusion Techniques (20 papers), Remote-Sensing Image Classification (18 papers) and Image and Signal Denoising Methods (10 papers). Frosti Pálsson collaborates with scholars based in Iceland, Denmark and Germany. Frosti Pálsson's co-authors include Jóhannes R. Sveinsson, Magnús Ö. Úlfarsson, Jón Atli Benediktsson, Henrik Aanæs, Mauro Dalla Mura, Jakob Sigurðsson, Jeffrey R. Gulcher, Kāri Stefánsson, Bernhard Ø. Palsson and Hákon Guðbjartsson and has published in prestigious journals such as Genome Research, IEEE Transactions on Geoscience and Remote Sensing and Remote Sensing.

In The Last Decade

Frosti Pálsson

24 papers receiving 1.1k 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.

Multispectral and Hyperspectral Image Fusion Using a 3-D-Convolutional Neural Network

2017 278 citations Frosti Pálsson, Jóhannes R. Sveinsson et al. IEEE Geoscience and Remote Sensing Letters profile →

Peers

Countries citing papers authored by Frosti Pálsson

Since Specialization

Citations

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

Fields of papers citing papers by Frosti Pálsson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frosti Pálsson

This figure shows the co-authorship network connecting the top 25 collaborators of Frosti Pálsson. A scholar is included among the top collaborators of Frosti Pálsson 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 Frosti Pálsson. Frosti Pálsson 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	Prediction of tissue outcome in acute ischemic stroke based on single-phase CT angiography at admission 2024 ·Frontiers in Neurology ·Frosti Pálsson, Nils D. Forkert, Lukas Meyer, Gabriel Broocks, Fabian Flottmann, Máté E. Maros, Matthias Bechstein, Laurens Winkelmeier, Eckhard Schlemm, Jens Fiehler, Susanne Gellißen, Helge Kniep	3
2	Model-Based Reduced-Rank Pansharpening 2019 ·IEEE Geoscience and Remote Sensing Letters ·Frosti Pálsson, Magnús Ö. Úlfarsson, Jóhannes R. Sveinsson	42
3	Sentinel-2 Sharpening Using a Reduced-Rank Method 2019 ·IEEE Transactions on Geoscience and Remote Sensing ·Magnús Ö. Úlfarsson, Frosti Pálsson, Mauro Dalla Mura, Jóhannes R. Sveinsson	42
4	Sentinel-2 Image Fusion Using a Deep Residual Network 2018 ·Remote Sensing ·Frosti Pálsson, Jóhannes R. Sveinsson, Magnús Ö. Úlfarsson	46
5	Multispectral and Hyperspectral Image Fusion Using a 3-D-Convolutional Neural Network breakdown → 2017 ·IEEE Geoscience and Remote Sensing Letters ·Frosti Pálsson, Jóhannes R. Sveinsson, Magnús Ö. Úlfarsson	278
6	Neural network hyperspectral unmixing with spectral information divergence objective 2017 ·Frosti Pálsson, Jakob Sigurðsson, Jóhannes R. Sveinsson, Magnús Ö. Úlfarsson	33
7	MTF-Based Deblurring Using a Wiener Filter for CS and MRA Pansharpening Methods 2016 ·IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ·Frosti Pálsson, Jóhannes R. Sveinsson, Magnús Ö. Úlfarsson, Jón Atli Benediktsson	50
8	MTF-deblurring preprocessing for CS and MRA pansharpening methods 2015 ·Frosti Pálsson, Jóhannes R. Sveinsson, Magnús Ö. Úlfarsson, Jón Atli Benediktsson	2
9	Quantitative Quality Evaluation of Pansharpened Imagery: Consistency Versus Synthesis 2015 ·IEEE Transactions on Geoscience and Remote Sensing ·Frosti Pálsson, Jóhannes R. Sveinsson, Magnús Ö. Úlfarsson, Jón Atli Benediktsson	80
10	Model based pansharpening method based on TV and MTF deblurring 2015 ·Frosti Pálsson, Jóhannes R. Sveinsson, Magnús Ö. Úlfarsson, Jón Atli Benediktsson	8
11	Sparse Gaussian noisy independent component analysis 2014 ·Frosti Pálsson, Magnús Ö. Úlfarsson, Jóhannes R. Sveinsson	1
12	Model based PCA/wavelet fusion of multispectral and hyperspectral images 2014 ·Frosti Pálsson, Jóhannes R. Sveinsson, Magnús Ö. Úlfarsson, Jón Atli Benediktsson	2
13	Pansharpening via sparsity optimization using overcomplete transforms 2013 ·Frosti Pálsson, Jóhannes R. Sveinsson, Magnús Ö. Úlfarsson, Jón Atli Benediktsson	2
14	A New Pansharpening Algorithm Based on Total Variation 2013 ·IEEE Geoscience and Remote Sensing Letters ·Frosti Pálsson, Jóhannes R. Sveinsson, Magnús Ö. Úlfarsson	271
15	Pansharpening and Classification of Pansharpened Images 2013 ·Frosti Pálsson	4
16	SAR image denoising using total variation based regularization with sure-based optimization of the regularization parameter 2012 ·Frosti Pálsson, Jóhannes R. Sveinsson, Magnús Ö. Úlfarsson, Jón Atli Benediktsson	12
17	A new pansharpening method using an explicit image formation model regularized via Total Variation 2012 ·Frosti Pálsson, Jóhannes R. Sveinsson, Magnús Ö. Úlfarsson, Jón Atli Benediktsson	4
18	Classification of Pansharpened Urban Satellite Images 2011 ·IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ·Frosti Pálsson, Jóhannes R. Sveinsson, Jón Atli Benediktsson, Henrik Aanæs	71
19	Image fusion for classification of high resolution images based on mathematical morphology 2010 ·Frosti Pálsson, Jóhannes R. Sveinsson, Jón Atli Benediktsson, Henrik Aanæs	2
20	Using Quality Measures to Facilitate Allele Calling in High-Throughput Genotyping 1999 ·Genome Research ·Bernhard Ø. Palsson, Frosti Pálsson, Mark W. Perlin, Hákon Guðbjartsson, Kāri Stefánsson, Jeffrey R. Gulcher	37

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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