Mats Persson

2.3k total citations · 1 hit paper
57 papers, 1.6k citations indexed

About

Mats Persson is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mats Persson has authored 57 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Biomedical Engineering, 54 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mats Persson's work include Advanced X-ray and CT Imaging (55 papers), Medical Imaging Techniques and Applications (49 papers) and Radiation Dose and Imaging (44 papers). Mats Persson is often cited by papers focused on Advanced X-ray and CT Imaging (55 papers), Medical Imaging Techniques and Applications (49 papers) and Radiation Dose and Imaging (44 papers). Mats Persson collaborates with scholars based in Sweden, United States and Germany. Mats Persson's co-authors include Martin J. Willemink, Dominik Fleischmann, Amir Pourmorteza, Norbert J. Pelc, Mats Danielsson, Martin Sjölin, Hans Bornefalk, Cheng Xu, Han Chen and Xuejin Liu and has published in prestigious journals such as Radiology, IEEE Transactions on Medical Imaging and Physics in Medicine and Biology.

In The Last Decade

Mats Persson

50 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Photon-counting CT: Technical Principles and Clinical Prospects

2018 835 citations Martin J. Willemink, Mats Persson et al. Radiology profile →

Peers

Mats Persson

BE

RNMI

PRM

OS

RADIA

André Henning Germany

Kishore Rajendran United States

Ahmed F. Halaweish United States

Amar Dhanantwari United States

Sebastian Faby Germany

Martin Sedlmair Germany

Daniela Muenzel Germany

Juan Carlos Ramírez-Giraldo United States

Ira Blevis United States

André Euler Switzerland

André Henning Germany

Mats Persson

1.6k ×1.1

BE

1.6k ×1.1

RNMI

102 ×0.7

PRM

178 ×1.4

OS

47 ×0.5

RADIA

Citations per year, relative to Mats Persson Mats Persson (= 1×) peers André Henning

Countries citing papers authored by Mats Persson

Since Specialization

Citations

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

Fields of papers citing papers by Mats Persson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mats Persson

This figure shows the co-authorship network connecting the top 25 collaborators of Mats Persson. A scholar is included among the top collaborators of Mats Persson 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 Mats Persson. Mats Persson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Holmin, Staffan, Vladimír Procházka, Zhye Yin, et al.. (2025). Syn2Real: synthesis of CT image ring artifacts for deep learning-based correction. Physics in Medicine and Biology. 70(4). 04NT01–04NT01.

2.

Larsson, Karin, et al.. (2024). Deep-learning-based motion artifact reduction for photon-counting spectral cardiac CT. 6510. 6–6.

3.

Persson, Mats, et al.. (2024). First experimental evaluation of a high-resolution deep silicon photon-counting sensor. Journal of Medical Imaging. 11(1). 13503–13503. 1 indexed citations

4.

Larsson, Karin, et al.. (2024). Proton-stopping power ratio prediction using photon-counting computed tomography and deep learning. 109. 110–110. 1 indexed citations

5.

Persson, Mats, et al.. (2024). Impact of deep-learning CT image denoising on the accuracy of radiomics parameter estimation. 79–79.

6.

Holmin, Staffan, Timothy P. Szczykutowicz, Jonathan S. Maltz, et al.. (2024). PPFM: Image Denoising in Photon-Counting CT Using Single-Step Posterior Sampling Poisson Flow Generative Models. IEEE Transactions on Radiation and Plasma Medical Sciences. 8(7). 788–799. 4 indexed citations

7.

Danielsson, Mats, et al.. (2024). First experimental evaluation of count-rate performance for micrometre resolution deep silicon detector. Physics in Medicine and Biology. 69(3). 35013–35013.

8.

Danielsson, Mats, et al.. (2023). Charge collection efficiency of CdTe detectors: impact of charge collection time and polarisation. 17–17. 1 indexed citations

9.

Persson, Mats, et al.. (2023). Timing resolution in double-sided silicon photon-counting computed tomography detectors. Journal of Medical Imaging. 10(2). 23502–23502. 3 indexed citations

10.

Persson, Mats, et al.. (2023). Spectral CT denoising using a conditional Wasserstein generative adversarial network. 125–125. 2 indexed citations

11.

Sandfort, Veit, Mats Persson, Amir Pourmorteza, et al.. (2020). Spectral photon-counting CT in cardiovascular imaging. Journal of cardiovascular computed tomography. 15(3). 218–225. 93 indexed citations

12.

Lundberg, Johan, Martin Sjölin, Mats Persson, et al.. (2020). Feasibility of unconstrained three-material decomposition: imaging an excised human heart using a prototype silicon photon-counting CT detector. European Radiology. 30(11). 5904–5912. 25 indexed citations

13.

Danielsson, Mats, Mats Persson, & Martin Sjölin. (2020). Photon-counting x-ray detectors for CT. Physics in Medicine and Biology. 66(3). 03TR01–03TR01. 188 indexed citations

14.

Zheng, Yifan, et al.. (2019). Robustness of optimal energy thresholds in photon-counting spectral CT. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 953. 163132–163132. 12 indexed citations

15.

Wang, Jinghui, et al.. (2019). Pulse Pileup Analysis for a Double-Sided Silicon Strip Detector Using Variable Pulse Shapes. IEEE Transactions on Nuclear Science. 66(6). 960–968. 7 indexed citations

16.

Willemink, Martin J., Mats Persson, Amir Pourmorteza, Norbert J. Pelc, & Dominik Fleischmann. (2018). Photon-counting CT: Technical Principles and Clinical Prospects. Radiology. 289(2). 293–312. 835 indexed citations breakdown →

17.

Persson, Mats, et al.. (2018). A framework for performance characterization of energy‐resolving photon‐counting detectors. Medical Physics. 45(11). 4897–4915. 15 indexed citations

18.

Chen, Han, Cheng Xu, Mats Persson, & Mats Danielsson. (2015). Optimization of beam quality for photon-counting spectral computed tomography in head imaging: simulation study. Journal of Medical Imaging. 2(4). 43504–43504. 18 indexed citations

19.

Persson, Mats, Xuejin Liu, Han Chen, et al.. (2014). Energy-resolved CT imaging with a photon-counting silicon-strip detector. Physics in Medicine and Biology. 59(22). 6709–6727. 90 indexed citations

20.

Persson, Mats. (2011). Reconstruction of spectral CT images. KTH Publication Database DiVA (KTH Royal Institute of Technology).

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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