Miloš Šrámek

1.2k total citations
51 papers, 798 citations indexed

About

Miloš Šrámek is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Miloš Šrámek has authored 51 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Graphics and Computer-Aided Design, 30 papers in Computer Vision and Pattern Recognition and 15 papers in Computational Mechanics. Recurrent topics in Miloš Šrámek's work include Computer Graphics and Visualization Techniques (34 papers), Medical Image Segmentation Techniques (19 papers) and 3D Shape Modeling and Analysis (15 papers). Miloš Šrámek is often cited by papers focused on Computer Graphics and Visualization Techniques (34 papers), Medical Image Segmentation Techniques (19 papers) and 3D Shape Modeling and Analysis (15 papers). Miloš Šrámek collaborates with scholars based in Austria, Slovakia and United States. Miloš Šrámek's co-authors include Jakob Andreas Bærentzen, Mark W. Jones, Arie Kaufman, Arie Kaufman, Dominik Fleischmann, Matús Straka, Eduard Gröller, Peter Latta, Marco L.H. Gruwel and Bogusław Tomanek and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Radiology and eLife.

In The Last Decade

Miloš Šrámek

49 papers receiving 741 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Miloš Šrámek Austria	13	444	400	292	94	67	51	798
Diego Santa-Cruz Switzerland	7	584 1.3×	192 0.5×	206 0.7×	50 0.5×	38 0.6×	11	828
N.D. Cornea United States	7	463 1.0×	282 0.7×	397 1.4×	43 0.5×	51 0.8×	12	719
Samuel P. Uselton United States	10	503 1.1×	514 1.3×	358 1.2×	63 0.7×	38 0.6×	27	832
Sébastien Valette France	12	294 0.7×	319 0.8×	339 1.2×	42 0.4×	36 0.5×	41	633
Andrei C. Jalba Netherlands	15	440 1.0×	119 0.3×	187 0.6×	77 0.8×	44 0.7×	44	755
Samrat Goswami United States	10	298 0.7×	500 1.3×	664 2.3×	28 0.3×	66 1.0×	19	991
Lisa Avila United States	9	293 0.7×	234 0.6×	116 0.4×	53 0.6×	19 0.3×	14	536
Nicolas Aspert Switzerland	11	752 1.7×	206 0.5×	243 0.8×	46 0.5×	34 0.5×	23	1.5k
Mark Foskey United States	12	421 0.9×	186 0.5×	184 0.6×	152 1.6×	73 1.1×	30	736
Alan D. Kalvin United States	14	420 0.9×	279 0.7×	245 0.8×	28 0.3×	64 1.0×	25	813

Countries citing papers authored by Miloš Šrámek

Since Specialization

Citations

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

Fields of papers citing papers by Miloš Šrámek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miloš Šrámek

This figure shows the co-authorship network connecting the top 25 collaborators of Miloš Šrámek. A scholar is included among the top collaborators of Miloš Šrámek 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 Miloš Šrámek. Miloš Šrámek 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

Montgomery, Sean A., Tetsuya Hisanaga, Nan Wang, et al.. (2022). Polycomb-mediated repression of paternal chromosomes maintains haploid dosage in diploid embryos of Marchantia. eLife. 11. 18 indexed citations

Schernthaner, Ruediger E., Florian Wolf, Gabriel Mistelbauer, et al.. (2015). New hybrid reformations of peripheral CT angiography: do we still need axial images?. Clinical Imaging. 39(4). 603–607. 1 indexed citations

Šrámek, Miloš, et al.. (2011). Region-based processing of volumetric data. Journal of Medical Informatics & Technologies. 17. 1 indexed citations

Parulek, Július, et al.. (2009). A Cell Architecture Modeling System Based on Quantitative Ultrastructural Characteristics. Methods in molecular biology. 500. 289–312. 5 indexed citations

Roos, Justus E., Dominik Fleischmann, Matús Straka, et al.. (2007). Multipath Curved Planar Reformation of the Peripheral Arterial Tree in CT Angiography. Radiology. 244(1). 281–290. 26 indexed citations

Jones, Mark W., Jakob Andreas Bærentzen, & Miloš Šrámek. (2006). 3D distance fields: a survey of techniques and applications. IEEE Transactions on Visualization and Computer Graphics. 12(4). 581–599. 279 indexed citations

Šrámek, Miloš, et al.. (2004). Using 3D-Bresenham for resampling structured grids. 926–930. 2 indexed citations

Šrámek, Miloš, et al.. (2004). The f3d tools for processing and visualization of volumetric data. Journal of Medical Informatics & Technologies. 7. 4 indexed citations

Šrámek, Miloš, et al.. (2004). CSG operations with voxelized solids. 370–373. 5 indexed citations

10.

Parulek, Július, Miloš Šrámek, & Ivan Zahradnı́k. (2004). Geometrical Modelling of Muscle Cells Based on Functional Representation of Polygons. Digital Library (University of West Bohemia). 121–124. 1 indexed citations

11.

Latta, Peter, et al.. (2004). Single point imaging with suppressed sound pressure levels through gradient-shape adjustment. Journal of Magnetic Resonance. 170(2). 177–183. 5 indexed citations

12.

Straka, Matús, et al.. (2003). Bone Segmentation in CT Angiography Data Using a Probabilistic Atlas.. Vision Modeling and Visualization. 505–512. 10 indexed citations

13.

Straka, Matús, et al.. (2003). 3D watershed transform combined with a probabilistic atlas for medical image segmentation. Journal of Medical Informatics & Technologies. 6. 19 indexed citations

14.

Šrámek, Miloš & Lyubomir Dimitrov. (2002). SEGMENTATION OF TOMOGRAPHIC DATA BY HIERARCHICAL WATERSHED TRANSFORM. Journal of Medical Informatics & Technologies. 3. 7 indexed citations

15.

Šrámek, Miloš, et al.. (2001). Correction of Voxelization Artifacts by Revoxelization. Eurographics. 269–279. 6 indexed citations

16.

Bærentzen, Jakob Andreas, Miloš Šrámek, & Niels Jørgen Christensen. (2000). A Morphological Approach to the Voxelization of Solids. Digital Library (University of West Bohemia). 13 indexed citations

17.

Šrámek, Miloš & Arie Kaufman. (1999). Alias-free voxelization of geometric objects. IEEE Transactions on Visualization and Computer Graphics. 5(3). 251–267. 89 indexed citations

18.

Šrámek, Miloš, et al.. (1998). Nonlinear filtering and fast ray tracing of 3D image data. Improving visualization in medical imaging. IEEE Engineering in Medicine and Biology Magazine. 17(2). 73–80. 2 indexed citations

19.

Šrámek, Miloš, et al.. (1995). Improvement of 3D visualization of the brain using anisotropic diffusion smoothing of MR data.. PubMed. 8 Pt 1. 683–6. 5 indexed citations

20.

Šrámek, Miloš. (1994). Fast surface rendering from raster data by voxel traversal using chessboard distance. IEEE Visualization. 188–195. 20 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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