Michał Mackiewicz

1.7k total citations
38 papers, 962 citations indexed

About

Michał Mackiewicz is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Aerospace Engineering. According to data from OpenAlex, Michał Mackiewicz has authored 38 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 15 papers in Atomic and Molecular Physics, and Optics and 7 papers in Aerospace Engineering. Recurrent topics in Michał Mackiewicz's work include Color Science and Applications (15 papers), Image Enhancement Techniques (7 papers) and Advanced Neural Network Applications (5 papers). Michał Mackiewicz is often cited by papers focused on Color Science and Applications (15 papers), Image Enhancement Techniques (7 papers) and Advanced Neural Network Applications (5 papers). Michał Mackiewicz collaborates with scholars based in United Kingdom, Ireland and Mauritius. Michał Mackiewicz's co-authors include Graham D. Finlayson, Mark Fisher, Anya Hurlbert, Stuart Crichton, Timo Aila, Samuli Laine, Coby L. Needle, Teresa Goodman, Crawford P. Jamieson and Peter T. Fretwell and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Image Processing and IEEE Transactions on Medical Imaging.

In The Last Decade

Michał Mackiewicz

37 papers receiving 920 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michał Mackiewicz United Kingdom 17 438 256 203 105 97 38 962
S. D. Hordley United Kingdom 13 1.2k 2.8× 770 3.0× 2 0.0× 190 1.8× 31 0.3× 22 1.4k
Alain Trémeau France 14 653 1.5× 118 0.5× 1 0.0× 26 0.2× 86 0.9× 94 1.1k
Matthew Anderson United States 13 236 0.5× 113 0.4× 61 0.6× 63 0.6× 39 763
Ana Belén Petro Spain 13 633 1.4× 108 0.4× 2 0.0× 12 0.1× 18 0.2× 20 735
Michael J. Murdoch United States 12 168 0.4× 164 0.6× 100 1.0× 75 0.8× 55 692
Markku Hauta‐Kasari Finland 16 236 0.5× 237 0.9× 24 0.2× 35 0.4× 86 872
José-Luis Lisani Spain 15 596 1.4× 59 0.2× 14 0.1× 51 0.5× 46 830
Pierre Gouton France 15 300 0.7× 162 0.6× 16 0.2× 37 0.4× 75 804
Maricor Soriano Philippines 11 346 0.8× 111 0.4× 18 0.2× 38 0.4× 56 607
Mark Fisher United Kingdom 15 300 0.7× 5 0.0× 154 0.8× 1 0.0× 58 0.6× 49 737

Countries citing papers authored by Michał Mackiewicz

Since Specialization
Citations

This map shows the geographic impact of Michał Mackiewicz'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 Michał Mackiewicz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michał Mackiewicz more than expected).

Fields of papers citing papers by Michał Mackiewicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michał Mackiewicz. 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 Michał Mackiewicz. The network helps show where Michał Mackiewicz may publish in the future.

Co-authorship network of co-authors of Michał Mackiewicz

This figure shows the co-authorship network connecting the top 25 collaborators of Michał Mackiewicz. A scholar is included among the top collaborators of Michał Mackiewicz 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 Michał Mackiewicz. Michał Mackiewicz 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.
Mackiewicz, Michał, et al.. (2023). Crowdsourcing Experiment and Fully Convolutional Neural Networks for Coastal Remote Sensing of Seagrass and Macroalgae. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 8734–8746. 5 indexed citations
2.
Fisher, Mark, et al.. (2022). Motion stereo at sea: Dense 3D reconstruction from image sequences monitoring conveyor systems on board fishing vessels. IET Image Processing. 17(2). 349–361. 3 indexed citations
3.
Knight, Peter A., et al.. (2020). Improving Automated Sonar Video Analysis to Notify About Jellyfish Blooms. IEEE Sensors Journal. 21(4). 4981–4988. 8 indexed citations
4.
Laine, Samuli, et al.. (2020). Semi-supervised semantic segmentation needs strong, varied perturbations. 30 indexed citations
5.
Aila, Timo, et al.. (2019). Semi-supervised semantic segmentation needs strong, high-dimensional perturbations. arXiv (Cornell University). 48 indexed citations
6.
Aila, Timo, et al.. (2019). Consistency regularization and CutMix for semi-supervised semantic segmentation.. arXiv (Cornell University). 10 indexed citations
7.
Finlayson, Graham D., et al.. (2018). Multi-spectral Pedestrian Detection via Image Fusion and Deep Neural Networks. Journal of Imaging Science and Technology. 62(5). 50406–1. 5 indexed citations
8.
Mackiewicz, Michał, et al.. (2018). Spherical sampling methods for the calculation of metamer mismatch volumes. Journal of the Optical Society of America A. 36(1). 96–96. 4 indexed citations
9.
Zhou, Ji, Daniel Reynolds, Simon Orford, et al.. (2017). Leaf-GP: an open and automated software application for measuring growth phenotypes for arabidopsis and wheat. Plant Methods. 13(1). 117–117. 35 indexed citations
10.
Finlayson, Graham D., et al.. (2016). Rank-based camera spectral sensitivity estimation. Journal of the Optical Society of America A. 33(4). 589–589. 36 indexed citations
11.
Crichton, Stuart, et al.. (2014). Chromatic Illumination Discrimination Ability Reveals that Human Colour Constancy Is Optimised for Blue Daylight Illuminations. PLoS ONE. 9(2). e87989–e87989. 79 indexed citations
12.
Finlayson, Graham D., et al.. (2014). A Ground Truth Data Set for Nikon Camera's Spectral Sensitivity Estimation. Color and Imaging Conference. 22(1). 85–90. 2 indexed citations
13.
Mackiewicz, Michał. (2014). Sztućce, janczarki, belgijczyki- o uzbrojeniu strzeleckim w Powstaniu Styczniowym. 135–148.
14.
Mackiewicz, Michał, et al.. (2012). Spectrally tunable LED illuminator for vision research. Conference on Colour in Graphics Imaging and Vision. 6(1). 372–377. 10 indexed citations
15.
Crichton, Siobhan, et al.. (2012). The illumination correction bias of the human visual system. Journal of Vision. 12(9). 64–64. 1 indexed citations
16.
Crichton, Stuart, et al.. (2012). Skin chromaticity gamuts for illumination recovery. Conference on Colour in Graphics Imaging and Vision. 6(1). 266–271. 6 indexed citations
17.
Finlayson, Graham D., Michał Mackiewicz, & Anya Hurlbert. (2011). Root-Polynomial Colour Correction. Color and Imaging Conference. 19(1). 115–119. 13 indexed citations
18.
Mackiewicz, Michał, et al.. (2008). Wireless Capsule Endoscopy Color Video Segmentation. IEEE Transactions on Medical Imaging. 27(12). 1769–1781. 113 indexed citations
19.
Sadowski, A., et al.. (2007). GROWTH AND EARLY BEARING OF APPLE TREES AS AFFECTED BY THE TYPE OF NURSERY TREES USED FOR PLANTING. Acta Horticulturae. 447–455. 13 indexed citations
20.
Mackiewicz, Michał, et al.. (1977). PRELIMINARY EVALUATION OF SOME HERBICIDES APPLIED IN YOUNG NON FRUITING CRANBERRY PLANTATION. Acta Horticulturae. 309–314. 2 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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