Markku Mäkitalo
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 1%
- Computational Mechanics top 10%
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Alessandro FoiPekka JääskeläinenVladimir LukinJarmo TakalaJarno VanneMichel KiefferVinod Kumar Malamal VadakitalFrançois‐Xavier Coudoux
- Topics
- Advanced Vision and Imaging (13 papers)Computer Graphics and Visualization Techniques (9 papers)Image and Signal Denoising Methods (7 papers)
In The Last Decade
Markku Mäkitalo
22 papers receiving 638 citations
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 529
- Media Technology 257
- Computational Mechanics 129
- Biomedical Engineering 127
- Radiology, Nuclear Medicine and Imaging 83
Countries citing papers authored by Markku Mäkitalo
This map shows the geographic impact of Markku Mäkitalo'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 Mäkitalo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markku Mäkitalo more than expected).
Fields of papers citing papers by Markku Mäkitalo
This network shows the impact of papers produced by Markku Mäkitalo. 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 Mäkitalo. The network helps show where Markku Mäkitalo may publish in the future.
Co-authorship network of co-authors of Markku Mäkitalo
This figure shows the co-authorship network connecting the top 25 collaborators of Markku Mäkitalo. A scholar is included among the top collaborators of Markku Mäkitalo 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 Mäkitalo. Markku Mäkitalo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 32 | |
| 11 | 14 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 45 | |
| 15 | Exact Unbiased Inverse of the Anscombe Transformation and its Poisson-Gaussian Generalization | 4 |
| 16 | 235 | |
| 17 | 23 | |
| 18 | 3 | |
| 19 | 244 | |
| 20 | 35 |
About Markku Mäkitalo
Markku Mäkitalo is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Media Technology, having authored 25 papers that have together received 684 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (13 papers), Computer Graphics and Visualization Techniques (9 papers) and Image and Signal Denoising Methods (7 papers). The work is most often cited by research in Media Technology (257 citations), Computer Vision and Pattern Recognition (529 citations) and Computer Graphics and Computer-Aided Design (46 citations). Markku Mäkitalo has collaborated with scholars based in Finland, France and Ukraine. Frequent co-authors include Alessandro Foi, Pekka Jääskeläinen, Vladimir Lukin, Jarmo Takala, Jarno Vanne, Michel Kieffer, Vinod Kumar Malamal Vadakital, François‐Xavier Coudoux and Patrick Corlay. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Access and ACM Transactions on Graphics.
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.