John Håkon Husøy
- Computational Mechanics top 5%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Emergency Medicine top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Sven Ole AaseKjersti EnganKarl SkrettingPetter Andreas SteenTrygve EftestølMohammad Shams Esfand AbadiKjetil SundeHelge Myklebust
- Topics
- Advanced Adaptive Filtering Techniques (19 papers)Image and Signal Denoising Methods (17 papers)Digital Filter Design and Implementation (14 papers)
In The Last Decade
John Håkon Husøy
35 papers receiving 663 citations
Peers
Comparison fields: 5 of 66
- Computational Mechanics 279
- Computer Vision and Pattern Recognition 225
- Signal Processing 212
- Emergency Medicine 200
- Cardiology and Cardiovascular Medicine 190
Countries citing papers authored by John Håkon Husøy
This map shows the geographic impact of John Håkon Husøy'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 John Håkon Husøy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Håkon Husøy more than expected).
Fields of papers citing papers by John Håkon Husøy
This network shows the impact of papers produced by John Håkon Husøy. 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 John Håkon Husøy. The network helps show where John Håkon Husøy may publish in the future.
Co-authorship network of co-authors of John Håkon Husøy
This figure shows the co-authorship network connecting the top 25 collaborators of John Håkon Husøy. A scholar is included among the top collaborators of John Håkon Husøy 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 John Håkon Husøy. John Håkon Husøy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | Partial search vector selection for sparse signal representation | 8 |
| 8 | 23 | |
| 9 | 33 | |
| 10 | 11 | |
| 11 | Transient Analysis of Adaptive Filters Using a General Framework | 8 |
| 12 | 76 | |
| 13 | 2 | |
| 14 | 28 | |
| 15 | 2 | |
| 16 | 11 | |
| 17 | 2 | |
| 18 | 5 | |
| 19 | 2 | |
| 20 | 12 |
About John Håkon Husøy
John Håkon Husøy is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 39 papers that have together received 698 indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (19 papers), Image and Signal Denoising Methods (17 papers) and Digital Filter Design and Implementation (14 papers). The work is most often cited by research in Emergency Medicine (200 citations), Signal Processing (212 citations) and Computational Mechanics (279 citations). John Håkon Husøy has collaborated with scholars based in Norway, Iran and Germany. Frequent co-authors include Sven Ole Aase, Kjersti Engan, Karl Skretting, Petter Andreas Steen, Trygve Eftestøl, Mohammad Shams Esfand Abadi, Kjetil Sunde, Helge Myklebust, Joar Eilevstjønn and Trygve Randen. Their work appears in journals such as Circulation, Signal Processing and Resuscitation.
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.