Martin Šámal

558 total citations
26 papers, 350 citations indexed

About

Martin Šámal is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Martin Šámal has authored 26 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Pulmonary and Respiratory Medicine and 6 papers in Biomedical Engineering. Recurrent topics in Martin Šámal's work include Medical Imaging Techniques and Applications (9 papers), Advanced X-ray and CT Imaging (6 papers) and Radiation Dose and Imaging (5 papers). Martin Šámal is often cited by papers focused on Medical Imaging Techniques and Applications (9 papers), Advanced X-ray and CT Imaging (6 papers) and Radiation Dose and Imaging (5 papers). Martin Šámal collaborates with scholars based in Czechia, Austria and United States. Martin Šámal's co-authors include Helmar Bergmann, Ewald Moser, Richard Baumgartner, C.C. Nimmon, K. E. Britton, Alain Prigent, M. Donald Blaufox, Miroslav Kárný, Siroos Mirzaei and Peter Knoll and has published in prestigious journals such as Physics in Medicine and Biology, Review of Scientific Instruments and European Journal of Nuclear Medicine and Molecular Imaging.

In The Last Decade

Martin Šámal

24 papers receiving 343 citations

Peers

Martin Šámal

RNMI

PRM

PPCH

J. Bazin France

Eli Eikefjord Norway

Petri Korhonen Finland

Bennet Hensen Germany

Miguel Ángel González‐Ballester Spain

Amir Alansary United States

Ravi Mandapati United States

Yothin Rakvongthai United States

Carter Kolbeck Canada

Paul A. Armitage United Kingdom

J. Bazin France

Martin Šámal

237 ×1.1

RNMI

64 ×0.7

PRM

26 ×0.3

PPCH

10 ×0.2

33 ×0.7

Citations per year, relative to Martin Šámal Martin Šámal (= 1×) peers J. Bazin

Countries citing papers authored by Martin Šámal

Since Specialization

Citations

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

Fields of papers citing papers by Martin Šámal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Šámal

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

All Works

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20 of 20 papers shown

Šámal, Martin, et al.. (2023). The importance of sampling time in radionuclide measurement of glomerular filtration rate in adults using single blood sample. Clinical and Translational Imaging. 11(5). 493–504.

Trnka, Jiří, Petr Dušek, Martin Šámal, et al.. (2020). MRI-guided voxel-based automatic semi-quantification of dopamine transporter imaging. Physica Medica. 75. 1–10. 4 indexed citations

Blaufox, M. Donald, Diego De Palma, Andrew Taylor, et al.. (2018). The SNMMI and EANM practice guideline for renal scintigraphy in adults. European Journal of Nuclear Medicine and Molecular Imaging. 45(12). 2218–2228. 32 indexed citations

Zogala, David, et al.. (2018). Assessment of renal function before contrast media injection: right decisions based on inaccurate estimates. European Radiology. 29(6). 3192–3199. 1 indexed citations

Knoll, Peter, Arman Rahmim, Martin Šámal, et al.. (2017). Improved scatter correction with factor analysis for planar and SPECT imaging. Review of Scientific Instruments. 88(9). 94303–94303. 4 indexed citations

Dobrozemsky, Georg, et al.. (2015). WWSSF – a worldwide study on radioisotopic renal split function. Nuclear Medicine Communications. 36(12). 1233–1238. 7 indexed citations

Wesolowski, Michal J., et al.. (2015). A simple method for determining split renal function from dynamic 99mTc-MAG3 scintigraphic data. European Journal of Nuclear Medicine and Molecular Imaging. 43(3). 550–558. 11 indexed citations

Šámal, Martin, et al.. (2012). The reproducibility of measurements of differential renal function in paediatric 99mTc-MAG3 renography. Nuclear Medicine Communications. 33(8). 824–831. 5 indexed citations

Knoll, Peter, et al.. (2011). Comparison of advanced iterative reconstruction methods for SPECT/CT. Zeitschrift für Medizinische Physik. 22(1). 58–69. 48 indexed citations

10.

Šámal, Martin. (2010). The 14th International Symposium on Radionuclides in Nephrourology. Seminars in Nuclear Medicine. 41(1). 3–10. 5 indexed citations

11.

Nimmon, C.C., John Fleming, & Martin Šámal. (2008). Probable range for whole kidney mean transit time values determined by reexamination of UK audit studies. Nuclear Medicine Communications. 29(11). 1006–1014. 3 indexed citations

12.

Durand, Emmanuel, M. Donald Blaufox, K. E. Britton, et al.. (2007). International Scientific Committee of Radionuclides in Nephrourology (ISCORN) Consensus on Renal Transit Time Measurements. Seminars in Nuclear Medicine. 38(1). 82–102. 52 indexed citations

13.

Bergmann, Helmar, et al.. (2005). An inter-laboratory comparison study of image quality of PET scanners using the NEMA NU 2-2001 procedure for assessment of image quality. Physics in Medicine and Biology. 50(10). 2193–2207. 20 indexed citations

14.

Nimmon, C.C., Martin Šámal, & K. E. Britton. (2004). Elimination of the influence of total renal function on renal output efficiency and normalized residual activity.. PubMed. 45(4). 587–93. 6 indexed citations

15.

Kuba, Attila, Martin Šámal, & Andrew Todd‐Pokropek. (1999). Information processing in medical imaging : 16th International Conference, IPMI'99, Visegrád, Hungary, June 28-July 2, 1999 ; proceedings. Springer eBooks. 1 indexed citations

16.

Šámal, Martin, et al.. (1999). Experimental comparison of data transformation procedures for analysis of principal components. Physics in Medicine and Biology. 44(11). 2821–2834. 20 indexed citations

17.

Bergmann, Helmar, et al.. (1999). Improved automatic separation of renal parenchyma and pelvis in dynamic renal scintigraphy using fuzzy regions of interest. European Journal of Nuclear Medicine and Molecular Imaging. 26(8). 837–843. 12 indexed citations

18.

Kárný, Miroslav, et al.. (1998). Biophysical inputs into the software "MIRDose".. PubMed. 99(4). 521–7. 1 indexed citations

19.

Šámal, Martin, C.C. Nimmon, K. E. Britton, & Helmar Bergmann. (1997). Relative renal uptake and transit time measurements using functional factor images and fuzzy regions of interest. European Journal of Nuclear Medicine and Molecular Imaging. 25(1). 48–54. 21 indexed citations

20.

Baumgartner, Richard, et al.. (1996). Quantification of intensity variations in functional MR images using rotated principal components. Physics in Medicine and Biology. 41(8). 1425–1438. 69 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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