P. Haavisto
- Computer Vision and Pattern Recognition top 1%
- Signal Processing top 2%
- Media Technology top 1%
- Artificial Intelligence top 10%
- Computational Mechanics top 10%
- Co-authors
- Y. NeuvoJaakko AstolaGiovanni RamponiT.G. CampbellI. DeféeMarta KarczewiczJ. VainioK. Järvinen
- Topics
- Advanced Data Compression Techniques (13 papers)Image and Signal Denoising Methods (9 papers)Speech and Audio Processing (9 papers)
- Journals
- Proceedings of the IEEEIEEE Transactions on Circuits and Systems for Video TechnologyElectronics Letters
- Partner nations
- FinlandCanadaSwitzerland
In The Last Decade
P. Haavisto
30 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 1.0k
- Signal Processing 403
- Media Technology 335
- Artificial Intelligence 110
- Computational Mechanics 66
Countries citing papers authored by P. Haavisto
This map shows the geographic impact of P. Haavisto'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 P. Haavisto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Haavisto more than expected).
Fields of papers citing papers by P. Haavisto
This network shows the impact of papers produced by P. Haavisto. 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 P. Haavisto. The network helps show where P. Haavisto may publish in the future.
Co-authorship network of co-authors of P. Haavisto
This figure shows the co-authorship network connecting the top 25 collaborators of P. Haavisto. A scholar is included among the top collaborators of P. Haavisto 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 P. Haavisto. P. Haavisto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 6 | |
| 12 | 1 | |
| 13 | 31 | |
| 14 | 51 | |
| 15 | Producing a very high quality still image from HDMAC transmission | 2 |
| 16 | 21 | |
| 17 | 18 | |
| 18 | 30 | |
| 19 | 25 | |
| 20 | 2 |
About P. Haavisto
P. Haavisto is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Media Technology, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (13 papers), Image and Signal Denoising Methods (9 papers) and Speech and Audio Processing (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Media Technology (335 citations) and Signal Processing (403 citations). P. Haavisto has collaborated with scholars based in Finland, Canada and Switzerland. Frequent co-authors include Y. Neuvo, Jaakko Astola, Giovanni Ramponi, T.G. Campbell, I. Defée, Marta Karczewicz, J. Vainio, K. Järvinen, Ruikang Yang and R. Salami. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Circuits and Systems for Video Technology and Electronics Letters.
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.