Jorik Blaas

23 total papers · 1.2k total citations
17 papers, 886 citations indexed

About

Jorik Blaas is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Statistical and Nonlinear Physics. According to data from OpenAlex, Jorik Blaas has authored 17 papers receiving a total of 886 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 7 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Jorik Blaas's work include Data Visualization and Analytics (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers) and Advanced MRI Techniques and Applications (3 papers). Jorik Blaas is often cited by papers focused on Data Visualization and Analytics (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers) and Advanced MRI Techniques and Applications (3 papers). Jorik Blaas collaborates with scholars based in Netherlands, France and China. Jorik Blaas's co-authors include Bart D. Peters, Lieuwe de Haan, Danny Holten, Jarke J. van Wijk, Stef van den Elzen, Frits H. Post, Charl P. Botha, Joris Dik, Matthias Alfeld and Koen Janssens and has published in prestigious journals such as Magnetic Resonance in Medicine, Journal of Psychiatric Research and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Jorik Blaas

17 papers receiving 854 citations

Hit Papers

A mobile instrument for i... 2013 2026 2017 2021 2013 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jorik Blaas 317 291 201 178 141 17 886
Cristina Re 161 0.5× 32 0.1× 61 0.3× 11 0.1× 10 0.1× 79 956
Paul Bourke 99 0.3× 24 0.1× 353 1.8× 9 0.1× 14 0.1× 66 934
Lorenzo De Stefani 101 0.3× 7 0.0× 20 0.1× 333 1.9× 256 1.8× 54 709
Joan Glaunès 438 1.4× 269 0.9× 137 0.7× 63 0.4× 21 922
Andrea Casini 114 0.4× 16 0.1× 26 0.1× 527 3.0× 401 2.8× 55 901
Laurent Risser 279 0.9× 329 1.1× 101 0.5× 12 0.1× 49 811
Nikita Orlov 438 1.4× 151 0.5× 106 0.5× 15 0.1× 19 0.1× 18 988
Hui Xue 278 0.9× 345 1.2× 82 0.4× 63 0.4× 41 898
Abdelmalik Moujahid 154 0.5× 4 0.0× 276 1.4× 6 0.0× 11 0.1× 41 712
Antonio Tristán‐Vega 243 0.8× 763 2.6× 79 0.4× 45 0.3× 55 989

Countries citing papers authored by Jorik Blaas

Since Specialization
Citations

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

Fields of papers citing papers by Jorik Blaas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jorik Blaas

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026