Primož Markelj

959 total citations · 1 hit paper
12 papers, 709 citations indexed

About

Primož Markelj is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Primož Markelj has authored 12 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Biomedical Engineering. Recurrent topics in Primož Markelj's work include Medical Imaging Techniques and Applications (9 papers), Medical Image Segmentation Techniques (8 papers) and Medical Imaging and Analysis (5 papers). Primož Markelj is often cited by papers focused on Medical Imaging Techniques and Applications (9 papers), Medical Image Segmentation Techniques (8 papers) and Medical Imaging and Analysis (5 papers). Primož Markelj collaborates with scholars based in Slovenia and Austria. Primož Markelj's co-authors include Dejan Tomaževič, F. Pernuš, B. Likar, Franjo Pernuš, Boštjan Likar, Christoph Weber, Michael Figl, Helmar Bergmann, Wolfgang Birkfellner and Christelle Gendrin and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Physics in Medicine and Biology and Medical Physics.

In The Last Decade

Primož Markelj

12 papers receiving 687 citations

Hit Papers

A review of 3D/2D registration methods for image-guided i... 2010 2026 2015 2020 2010 100 200 300 400 500
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.

  1. A review of 3D/2D registration methods for image-guided interventions
    2010 520 citations Primož Markelj, Dejan Tomaževič et al. Medical Image Analysis profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Primož Markelj Slovenia 8 361 337 295 158 104 12 709
Paul Desmedt Germany 4 420 1.2× 305 0.9× 369 1.3× 104 0.7× 95 0.9× 7 719
Ingmar Wegner Germany 12 204 0.6× 206 0.6× 248 0.8× 164 1.0× 59 0.6× 21 640
Matthias Baumhauer Germany 9 190 0.5× 239 0.7× 263 0.9× 244 1.5× 44 0.4× 13 720
Andrew D. Wiles Canada 10 253 0.7× 318 0.9× 134 0.5× 319 2.0× 80 0.8× 27 677
Stefan Wesarg Germany 20 376 1.0× 556 1.6× 398 1.3× 297 1.9× 40 0.4× 92 1.1k
Ameet Jain United States 11 152 0.4× 261 0.8× 168 0.6× 86 0.5× 139 1.3× 35 456
Haytham Elhawary United Kingdom 15 207 0.6× 390 1.2× 223 0.8× 170 1.1× 60 0.6× 23 710
Yves Trousset France 13 355 1.0× 319 0.9× 473 1.6× 71 0.4× 90 0.9× 40 999
Ester Bonmati United Kingdom 11 480 1.3× 286 0.8× 564 1.9× 76 0.5× 74 0.7× 25 985
Lori Gardi Canada 16 271 0.8× 469 1.4× 230 0.8× 214 1.4× 236 2.3× 55 862

Countries citing papers authored by Primož Markelj

Since Specialization
Citations

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

Fields of papers citing papers by Primož Markelj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Primož Markelj

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

All Works

12 of 12 papers shown
1.
Špiclin, Žiga, et al.. (2012). 3D-2D registration of cerebral angiograms based on vessel directions and intensity gradients. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8314. 83141T–83141T. 2 indexed citations
2.
Gendrin, Christelle, Primož Markelj, Supriyanto Ardjo Pawiro, et al.. (2011). Validation for 2D/3D registration II: The comparison of intensity‐ and gradient‐based merit functions using a new gold standard data set. Medical Physics. 38(3). 1491–1502. 33 indexed citations
3.
Pawiro, Supriyanto Ardjo, Primož Markelj, F. Pernuš, et al.. (2011). Validation for 2D/3D registration I: A new gold standard data set. Medical Physics. 38(3). 1481–1490. 38 indexed citations
4.
Markelj, Primož, et al.. (2011). Gradient-based 3D-2D registration of cerebral angiograms. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7962. 79621P–79621P. 7 indexed citations
5.
Figl, Michael, Christoph Bloch, Christelle Gendrin, et al.. (2010). Efficient implementation of the rank correlation merit function for 2D/3D registration. Physics in Medicine and Biology. 55(19). N465–N471. 8 indexed citations
6.
Markelj, Primož, Boštjan Likar, & Franjo Pernuš. (2010). Standardized evaluation methodology for 3D/2D registration based on the Visible Human data set. Medical Physics. 37(9). 4643–4647. 16 indexed citations
7.
Markelj, Primož, Dejan Tomaževič, B. Likar, & F. Pernuš. (2010). A review of 3D/2D registration methods for image-guided interventions. Medical Image Analysis. 16(3). 642–661. 520 indexed citations breakdown →
8.
Gendrin, Christelle, Christoph Bloch, Supriyanto Ardjo Pawiro, et al.. (2010). Towards real-time 2D/3D registration for organ motion monitoring in image-guided radiation therapy. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7625. 762512–762512. 3 indexed citations
9.
Pawiro, Supriyanto Ardjo, Primož Markelj, Christelle Gendrin, et al.. (2010). A new gold-standard dataset for 2D/3D image registration evaluation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7625. 76251V–76251V. 7 indexed citations
10.
Markelj, Primož, Dejan Tomaževič, Franjo Pernuš, & Boštjan Likar. (2008). Robust Gradient-Based 3-D/2-D Registration of CT and MR to X-Ray Images. IEEE Transactions on Medical Imaging. 27(12). 1704–1714. 64 indexed citations
11.
Markelj, Primož, Dejan Tomaževič, Franjo Pernuš, & Boštjan Likar. (2008). Robust 3-D/2-D registration of CT and MR to X-ray images based on gradient reconstruction. International Journal of Computer Assisted Radiology and Surgery. 3(6). 477–483. 3 indexed citations
12.
Markelj, Primož, Dejan Tomaževič, Franjo Pernuš, & Boštjan Likar. (2007). Optimizing bone extraction in MR images for 3D/2D gradient based registration of MR and x-ray images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6512. 651224–651224. 8 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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