Markku Mäkitalo

1.1k total citations
25 papers, 684 citations indexed

About

Markku Mäkitalo is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Markku Mäkitalo has authored 25 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 9 papers in Computer Graphics and Computer-Aided Design and 5 papers in Computational Mechanics. Recurrent topics in Markku Mäkitalo's work include Advanced Vision and Imaging (13 papers), Computer Graphics and Visualization Techniques (9 papers) and Image and Signal Denoising Methods (7 papers). Markku Mäkitalo is often cited by papers focused on Advanced Vision and Imaging (13 papers), Computer Graphics and Visualization Techniques (9 papers) and Image and Signal Denoising Methods (7 papers). Markku Mäkitalo collaborates with scholars based in Finland, France and Ukraine. Markku Mäkitalo's co-authors include Alessandro Foi, Pekka Jääskeläinen, Vladimir Lukin, Jarmo Takala, Jarno Vanne, Vinod Kumar Malamal Vadakital, Michel Kieffer, François‐Xavier Coudoux and Patrick Corlay and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and ACM Transactions on Graphics.

In The Last Decade

Markku Mäkitalo

22 papers receiving 638 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Markku Mäkitalo Finland 9 529 257 129 127 83 25 684
Priyam Chatterjee United States 12 996 1.9× 613 2.4× 187 1.4× 113 0.9× 57 0.7× 25 1.1k
Triet Le United States 9 463 0.9× 145 0.6× 176 1.4× 71 0.6× 66 0.8× 17 636
Marc Lebrun France 11 812 1.5× 531 2.1× 115 0.9× 94 0.7× 71 0.9× 11 923
Stamatios Lefkimmiatis Switzerland 11 410 0.8× 199 0.8× 260 2.0× 174 1.4× 133 1.6× 27 693
David M. Strong United States 6 300 0.6× 78 0.3× 162 1.3× 84 0.7× 79 1.0× 16 524
Pavel Mrázek⋆ Germany 6 396 0.7× 124 0.5× 120 0.9× 41 0.3× 48 0.6× 8 496
Sean Borman United States 7 586 1.1× 284 1.1× 62 0.5× 38 0.3× 39 0.5× 11 736
Kristofor B. Gibson United States 11 729 1.4× 398 1.5× 98 0.8× 81 0.6× 35 0.4× 18 856
R. Hingorani United States 8 511 1.0× 122 0.5× 26 0.2× 72 0.6× 134 1.6× 13 704
Mejdi Trimeche Finland 7 538 1.0× 310 1.2× 51 0.4× 65 0.5× 32 0.4× 17 672

Countries citing papers authored by Markku Mäkitalo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Mäkitalo, Markku, et al.. (2025). Dynamic load balancing for real-time multiview path tracing on multi-GPU architectures. Virtual Reality & Intelligent Hardware. 7(4). 393–405.
2.
Kieffer, Michel, et al.. (2024). Performance of Linear Coding and Transmission in Low-Latency Computer Vision Offloading. SPIRE - Sciences Po Institutional REpository. 1–6. 1 indexed citations
3.
Mäkitalo, Markku, et al.. (2024). Real-time Stereoscopic Image-parallel Path Tracing. Electronic Imaging. 36(13). 181–1.
4.
Kieffer, Michel, et al.. (2024). CV-Cast: Computer Vision–Oriented Linear Coding and Transmission. IEEE Transactions on Mobile Computing. 24(2). 1149–1162. 2 indexed citations
5.
Mäkitalo, Markku, et al.. (2022). Tauray: A Scalable Real-Time Open-Source Path Tracer for Stereo and Light Field Displays. Trepo - Institutional Repository of Tampere University. 1–4. 1 indexed citations
6.
Mäkitalo, Markku, et al.. (2022). Pruned Lightweight Encoders for Computer Vision. arXiv (Cornell University). 1–6. 1 indexed citations
7.
Mäkitalo, Markku, et al.. (2022). Real-Time Rendering of Point Clouds With Photorealistic Effects: A Survey. IEEE Access. 10. 13151–13173. 7 indexed citations
8.
Mäkitalo, Markku, et al.. (2022). TauBench: Dynamic Benchmark for Graphics Rendering. Trepo - Institutional Repository of Tampere University. 172–179. 1 indexed citations
9.
Mäkitalo, Markku, et al.. (2022). Image and Video Coding Techniques for Ultra-low Latency. ACM Computing Surveys. 54(11s). 1–35. 11 indexed citations
10.
Mäkitalo, Markku, et al.. (2020). Systematic Evaluation of the Quality Benefits of Spatiotemporal Sample Reprojection in Real-Time Stereoscopic Path Tracing. IEEE Access. 8. 133514–133526. 3 indexed citations
11.
Mäkitalo, Markku, et al.. (2019). Foveated Real-Time Path Tracing in Visual-Polar Space. Trepo - Institutional Repository of Tampere University. 14 indexed citations
12.
Mäkitalo, Markku, et al.. (2019). Reducing Computational Complexity of Real-Time Stereoscopic Ray Tracing with Spatiotemporal Sample Reprojection. Trepo - Institutional Repository of Tampere University. 367–374. 2 indexed citations
13.
Jääskeläinen, Pekka, et al.. (2017). Exposed datapath optimizations for loop scheduling. Trepo - Institutional Repository of Tampere University. 12. 171–178. 2 indexed citations
14.
Mäkitalo, Markku & Alessandro Foi. (2014). Noise Parameter Mismatch in Variance Stabilization, With an Application to Poisson–Gaussian Noise Estimation. IEEE Transactions on Image Processing. 23(12). 5348–5359. 45 indexed citations
15.
Mäkitalo, Markku & Alessandro Foi. (2012). Optimal Inversion of the Generalized Anscombe Transformation for Poisson-Gaussian Noise. IEEE Transactions on Image Processing. 22(1). 91–103. 235 indexed citations
16.
17.
Mäkitalo, Markku & Alessandro Foi. (2011). Spatially adaptive alpha-rooting in BM3D sharpening. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7870. 787012–787012. 3 indexed citations
18.
Mäkitalo, Markku & Alessandro Foi. (2010). Optimal Inversion of the Anscombe Transformation in Low-Count Poisson Image Denoising. IEEE Transactions on Image Processing. 20(1). 99–109. 244 indexed citations
19.
Mäkitalo, Markku, et al.. (2010). Denoising of single-look SAR images based on variance stabilization and nonlocal filters. 1–4. 35 indexed citations
20.
Mäkitalo, Markku & Alessandro Foi. (2009). On the inversion of the Anscombe transformation in low-count Poisson image denoising. 26–32. 13 indexed citations

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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