Mats Danielsson

4.4k total citations
153 papers, 2.7k citations indexed

About

Mats Danielsson is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Radiation. According to data from OpenAlex, Mats Danielsson has authored 153 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Biomedical Engineering, 99 papers in Radiology, Nuclear Medicine and Imaging and 39 papers in Radiation. Recurrent topics in Mats Danielsson's work include Advanced X-ray and CT Imaging (95 papers), Medical Imaging Techniques and Applications (77 papers) and Radiation Dose and Imaging (62 papers). Mats Danielsson is often cited by papers focused on Advanced X-ray and CT Imaging (95 papers), Medical Imaging Techniques and Applications (77 papers) and Radiation Dose and Imaging (62 papers). Mats Danielsson collaborates with scholars based in Sweden, United States and United Kingdom. Mats Danielsson's co-authors include Hans Bornefalk, Björn Cederström, Mats Lundqvist, Mats Persson, Martin Sjölin, Magnus Åslund, Cheng Xu, David M. Parks, Mary C. Boyce and Erik Fredenberg and has published in prestigious journals such as Nature, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

In The Last Decade

Mats Danielsson

142 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mats Danielsson Sweden 28 1.8k 1.8k 782 514 255 153 2.7k
Robert Speller United Kingdom 33 1.8k 1.0× 1.1k 0.6× 503 0.6× 2.2k 4.3× 577 2.3× 185 3.9k
I. Weinberg United States 23 565 0.3× 1.0k 0.6× 319 0.4× 422 0.8× 369 1.4× 155 2.2k
Bruno De Man United States 25 3.0k 1.7× 3.3k 1.8× 244 0.3× 508 1.0× 161 0.6× 121 3.8k
James T. Dobbins United States 32 2.2k 1.2× 2.9k 1.6× 2.6k 3.3× 517 1.0× 136 0.5× 111 3.8k
S. Kappler Germany 28 2.3k 1.3× 2.3k 1.3× 251 0.3× 497 1.0× 269 1.1× 118 3.0k
Jan S. Iwanczyk United States 24 2.1k 1.2× 2.0k 1.2× 397 0.5× 1.1k 2.2× 859 3.4× 146 3.2k
Guillaume Landry Germany 34 1.7k 1.0× 2.8k 1.6× 2.3k 2.9× 2.9k 5.6× 107 0.4× 193 4.3k
Giovanni Mettivier Italy 25 1.0k 0.6× 1.4k 0.8× 1.1k 1.4× 1.1k 2.0× 258 1.0× 165 2.3k
Josep Sempau Spain 30 807 0.4× 1.7k 1.0× 2.1k 2.7× 2.7k 5.2× 261 1.0× 80 3.6k
Ewald Roessl Germany 28 3.2k 1.7× 2.7k 1.6× 321 0.4× 684 1.3× 185 0.7× 54 3.7k

Countries citing papers authored by Mats Danielsson

Since Specialization
Citations

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

Fields of papers citing papers by Mats Danielsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mats Danielsson

This figure shows the co-authorship network connecting the top 25 collaborators of Mats Danielsson. A scholar is included among the top collaborators of Mats Danielsson 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 Danielsson. Mats Danielsson 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.
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.
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
3.
Hulme-Smith, Christopher, et al.. (2024). A compact X-ray source via fast microparticle streams. SHILAP Revista de lepidopterología. 3(1). 171–171.
4.
Hulme-Smith, Christopher, et al.. (2024). Microparticle Hybrid Target Simulation for keV X-ray Sources. Instruments. 8(2). 32–32. 2 indexed citations
5.
Hulme-Smith, Christopher, et al.. (2024). Nearly Monochromatic Bremsstrahlung of High Intensity via Microparticle Targets: A Novel Concept. Instruments. 8(3). 42–42.
6.
Bertilson, Michael, et al.. (2024). Analyzer-free hard x-ray interferometry. Physics in Medicine and Biology. 69(4). 45011–45011.
7.
Danielsson, Mats, et al.. (2023). Charge collection efficiency of CdTe detectors: impact of charge collection time and polarisation. 17–17. 1 indexed citations
8.
Schmidt, Taly Gilat, Emil Y. Sidky, Xiaochuan Pan, et al.. (2023). Constrained one‐step material decomposition reconstruction of head CT data from a silicon photon‐counting prototype. Medical Physics. 50(10). 6008–6021.
9.
Bujila, Robert, et al.. (2018). Applying three different methods of measuring CTDIfree air to the extended CTDI formalism for wide‐beam scanners (IEC 60601–2–44): A comparative study. Journal of Applied Clinical Medical Physics. 19(4). 281–289. 7 indexed citations
10.
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
11.
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
12.
Wallis, Matthew, et al.. (2013). Mass detection in reconstructed digital breast tomosynthesis volumes with a computer‐aided detection system trained on 2D mammograms. Medical Physics. 40(4). 41902–41902. 34 indexed citations
13.
Wallis, Matthew, et al.. (2012). Two-View and Single-View Tomosynthesis versus Full-Field Digital Mammography: High-Resolution X-Ray Imaging Observer Study. Radiology. 262(3). 788–796. 151 indexed citations
14.
Fredenberg, Erik, Mats Danielsson, J. Webster Stayman, Jeffrey H. Siewerdsen, & Magnus Åslund. (2012). Ideal‐observer detectability in photon‐counting differential phase‐contrast imaging using a linear‐systems approach. Medical Physics. 39(9). 5317–5335. 8 indexed citations
15.
Danielsson, Mats, et al.. (2012). Performance evaluation of a sub-millimetre spectrally resolved CT system on high- and low-frequency imaging tasks: a simulation. Physics in Medicine and Biology. 57(8). 2373–2391. 16 indexed citations
16.
Cederström, Björn, et al.. (2011). Large-aperture focusing of high-energy x rays with a rolled polyimide film. Optics Letters. 36(4). 555–555. 4 indexed citations
17.
Bornefalk, Hans & Mats Danielsson. (2010). Photon-counting spectral computed tomography using silicon strip detectors: a feasibility study. Physics in Medicine and Biology. 55(7). 1999–2022. 149 indexed citations
18.
Åslund, Magnus, Björn Cederström, Mats Lundqvist, & Mats Danielsson. (2006). Scatter rejection in multislit digital mammography. Medical Physics. 33(4). 933–940. 68 indexed citations
19.
Åslund, Magnus, Björn Cederström, Mats Lundqvist, & Mats Danielsson. (2005). AEC for scanning digital mammography based on variation of scan velocity. Medical Physics. 32(11). 3367–3374. 10 indexed citations
20.
Cahn, R. N., et al.. (1999). Detective quantum efficiency dependence on x‐ray energy weighting in mammography. Medical Physics. 26(12). 2680–2683. 109 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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