Markku Vehviläinen
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 2%
- Electrical and Electronic Engineering
- Aerospace Engineering
- Signal Processing
- Co-authors
- Marius TicoRadu Ciprian BilcuMejdi TrimecheMiguel Bordallo LópezOlli SílvenJari HannukselaSakari AleniusVladimir Katkovnik
- Topics
- Advanced Image Processing Techniques (13 papers)Image Processing Techniques and Applications (13 papers)Image and Signal Denoising Methods (11 papers)
- Journals
- Multimedia Tools and ApplicationsINFM-OAR (INFN Catania)Proceedings - International Conference on Image Processing
- Partner nations
- FinlandCambodiaUnited States
In The Last Decade
Markku Vehviläinen
33 papers receiving 300 citations
Peers
Comparison fields: 5 of 40
- Computer Vision and Pattern Recognition 313
- Media Technology 187
- Electrical and Electronic Engineering 38
- Aerospace Engineering 25
- Signal Processing 16
Countries citing papers authored by Markku Vehviläinen
This map shows the geographic impact of Markku Vehviläinen'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 Markku Vehviläinen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markku Vehviläinen more than expected).
Fields of papers citing papers by Markku Vehviläinen
This network shows the impact of papers produced by Markku Vehviläinen. 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 Markku Vehviläinen. The network helps show where Markku Vehviläinen may publish in the future.
Co-authorship network of co-authors of Markku Vehviläinen
This figure shows the co-authorship network connecting the top 25 collaborators of Markku Vehviläinen. A scholar is included among the top collaborators of Markku Vehviläinen 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 Markku Vehviläinen. Markku Vehviläinen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Adaptive local tone mapping of color images | 0 |
| 2 | 6 | |
| 3 | 30 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 20 | |
| 8 | 9 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 13 | |
| 13 | 6 | |
| 14 | 19 | |
| 15 | 15 | |
| 16 | A modified sigma filter for noise reduction in images | 5 |
| 17 | Blur space iterative de-blurring | 0 |
| 18 | 15 | |
| 19 | 21 | |
| 20 | 2 |
About Markku Vehviläinen
Markku Vehviläinen is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Instrumentation, having authored 35 papers that have together received 339 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (13 papers), Image Processing Techniques and Applications (13 papers) and Image and Signal Denoising Methods (11 papers). The work is most often cited by research in Media Technology (187 citations), Computer Vision and Pattern Recognition (313 citations) and Signal Processing (16 citations). Markku Vehviläinen has collaborated with scholars based in Finland, Cambodia and United States. Frequent co-authors include Marius Tico, Radu Ciprian Bilcu, Mejdi Trimeche, Miguel Bordallo López, Olli Sílven, Jari Hannuksela, Sakari Alenius, Vladimir Katkovnik, Karen Egiazarian and Alessandro Foi. Their work appears in journals such as Multimedia Tools and Applications, INFM-OAR (INFN Catania) and Proceedings - International Conference on Image Processing.
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.