Martin Sjölin

460 total citations
15 papers, 352 citations indexed

About

Martin Sjölin is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Martin Sjölin has authored 15 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Biomedical Engineering and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Martin Sjölin's work include Advanced X-ray and CT Imaging (14 papers), Radiation Dose and Imaging (12 papers) and Medical Imaging Techniques and Applications (11 papers). Martin Sjölin is often cited by papers focused on Advanced X-ray and CT Imaging (14 papers), Radiation Dose and Imaging (12 papers) and Medical Imaging Techniques and Applications (11 papers). Martin Sjölin collaborates with scholars based in Sweden, United States and Spain. Martin Sjölin's co-authors include Mats Danielsson, Mats Persson, Scott S. Hsieh, Robert Bujila, Xiaoyu Liu, Björn Cederström, S. Karlsson, Johan Lundberg, Håkan Almqvist and Staffan Holmin and has published in prestigious journals such as Physics in Medicine and Biology, Medical Physics and European Radiology.

In The Last Decade

Martin Sjölin

13 papers receiving 350 citations

Peers

Martin Sjölin
Ami Altman Israel
Manu N. Lakshmanan United States
Heiner Daerr Germany
A Primak United States
Zhye Yin United States
Ami Altman Israel
Martin Sjölin
Citations per year, relative to Martin Sjölin Martin Sjölin (= 1×) peers Ami Altman

Countries citing papers authored by Martin Sjölin

Since Specialization
Citations

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

Fields of papers citing papers by Martin Sjölin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Sjölin

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

All Works

15 of 15 papers shown
1.
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.
2.
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
3.
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
4.
Persson, Mats, et al.. (2020). Silicon photon-counting detector for full-field CT using an ASIC with adjustable shaping time. Journal of Medical Imaging. 7(5). 53503–53503. 6 indexed citations
6.
Cederström, Björn, et al.. (2019). Resolution characterization of a silicon-based, photon-counting computed tomography prototype capable of patient scanning. Journal of Medical Imaging. 6(4). 1–1. 46 indexed citations
8.
Sjölin, Martin, et al.. (2018). Increasing the dose efficiency in silicon photon-counting detectors utilizing dual shapers. 4. 182–182. 1 indexed citations
9.
Danielsson, Mats, et al.. (2018). Count statistics of nonparalyzable photon‐counting detectors with nonzero pulse length. Medical Physics. 45(8). 3800–3811. 12 indexed citations
10.
Hsieh, Scott S. & Martin Sjölin. (2018). Digital count summing vs analog charge summing for photon counting detectors: A performance simulation study. Medical Physics. 45(9). 4085–4093. 22 indexed citations
11.
Sjölin, Martin & Mats Persson. (2017). Optimal sinogram sampling with temporally offset pixels in continuous rotation CT. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10132. 101322I–101322I. 1 indexed citations
12.
Sjölin, Martin & Mats Danielsson. (2017). Compression of CT sinogram data by decimation in the view direction. Medical Physics. 44(9). e138–e146. 2 indexed citations
13.
Sjölin, Martin & Mats Danielsson. (2016). A method for geometric calibration of edge‐on detectors in a CT‐gantry. Medical Physics. 43(11). 6165–6174. 2 indexed citations
14.
Liu, Xiaoyu, et al.. (2016). Count rate performance of a silicon-strip detector for photon-counting spectral CT. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 827. 102–106. 30 indexed citations
15.
Sjölin, Martin & Mats Danielsson. (2014). Improved signal-to-noise ratio for non-perpendicular detection angles in x-ray fluorescence computed tomography (XFCT). Physics in Medicine and Biology. 59(21). 6507–6520. 14 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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