Robin Wolz

5.2k total citations
78 papers, 3.1k citations indexed

About

Robin Wolz is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Robin Wolz has authored 78 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 28 papers in Radiology, Nuclear Medicine and Imaging and 28 papers in Psychiatry and Mental health. Recurrent topics in Robin Wolz's work include Medical Image Segmentation Techniques (27 papers), Dementia and Cognitive Impairment Research (27 papers) and Advanced Neuroimaging Techniques and Applications (15 papers). Robin Wolz is often cited by papers focused on Medical Image Segmentation Techniques (27 papers), Dementia and Cognitive Impairment Research (27 papers) and Advanced Neuroimaging Techniques and Applications (15 papers). Robin Wolz collaborates with scholars based in United Kingdom, Finland and United States. Robin Wolz's co-authors include Daniel Rueckert, Joseph V. Hajnal, Jyrki Lötjönen, Hilkka Soininen, Paul Aljabar, Juha Koikkalainen, Alexander Hammers, Tong Tong, Ricardo Guerrero and Kensaku Mori and has published in prestigious journals such as PLoS ONE, NeuroImage and Neurology.

In The Last Decade

Robin Wolz

75 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robin Wolz United Kingdom 26 1.2k 969 969 770 601 78 3.1k
Matthew J. Clarkson United Kingdom 28 1.0k 0.9× 1.1k 1.1× 752 0.8× 323 0.4× 588 1.0× 115 3.5k
Jyrki Lötjönen Finland 33 698 0.6× 934 1.0× 1.3k 1.3× 592 0.8× 1.0k 1.7× 149 4.1k
Daniel S. Marcus United States 23 828 0.7× 1.5k 1.6× 1.1k 1.1× 662 0.9× 663 1.1× 60 4.4k
Jürgen Fripp Australia 37 750 0.6× 1.7k 1.8× 1.1k 1.2× 494 0.6× 982 1.6× 251 5.2k
Jussi Tohka Finland 28 486 0.4× 1.1k 1.1× 784 0.8× 527 0.7× 280 0.5× 123 3.5k
Simon Fristed Eskildsen Denmark 30 436 0.4× 938 1.0× 648 0.7× 725 0.9× 703 1.2× 94 3.1k
Stanley Durrleman France 26 546 0.5× 531 0.5× 468 0.5× 372 0.5× 247 0.4× 98 2.4k
Simon Duchesne Canada 31 401 0.3× 960 1.0× 1.2k 1.2× 486 0.6× 727 1.2× 145 3.1k
Marie Chupin France 31 545 0.5× 866 0.9× 1.6k 1.7× 1.0k 1.3× 1.0k 1.7× 83 3.9k
Rolf A. Heckemann United Kingdom 35 1.5k 1.3× 1.8k 1.9× 1.0k 1.0× 1.1k 1.4× 489 0.8× 92 5.6k

Countries citing papers authored by Robin Wolz

Since Specialization
Citations

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

Fields of papers citing papers by Robin Wolz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robin Wolz

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

All Works

20 of 20 papers shown
1.
McGinnity, Colm J., Luis R. Peraza, Robert N. Parker, & Robin Wolz. (2024). Erosion of The Supratentorial White Matter Reference for Increased Power in Longitudinal Amyloid PET. Alzheimer s & Dementia. 20(S2).
2.
Heeman, Fiona, Maqsood Yaqub, Katherine R. Gray, et al.. (2022). Impact of cerebral blood flow and amyloid load on SUVR bias. EJNMMI Research. 12(1). 29–29. 8 indexed citations
3.
Peraza, Luis R., Kirsi M. Kinnunen, Róisín McNaney, et al.. (2021). An Automatic Gait Analysis Pipeline for Wearable Sensors: A Pilot Study in Parkinson’s Disease. Sensors. 21(24). 8286–8286. 13 indexed citations
4.
Douven, Elles, Julie Staals, Whitney M. Freeze, et al.. (2019). Imaging markers associated with the development of post-stroke depression and apathy: Results of the Cognition and Affect after Stroke – a Prospective Evaluation of Risks study. European Stroke Journal. 5(1). 78–84. 18 indexed citations
5.
Berg, Jens von, Robin Wolz, Axel Saalbach, et al.. (2015). A novel bone suppression method that improves lung nodule detection. International Journal of Computer Assisted Radiology and Surgery. 11(4). 641–655. 19 indexed citations
6.
Tong, Tong, Robin Wolz, Pierrick Coupé, Joseph V. Hajnal, & Daniel Rueckert. (2013). Segmentation of MR images via discriminative dictionary learning and sparse coding: Application to hippocampus labeling. NeuroImage. 76. 11–23. 143 indexed citations
7.
8.
Tong, Tong, Robin Wolz, Qinquan Gao, Joseph V. Hajnal, & Daniel Rueckert. (2013). Multiple Instance Learning for Classification of Dementia in Brain MRI. Lecture notes in computer science. 16(Pt 2). 599–606. 21 indexed citations
9.
Wolz, Robin, Chengwen Chu, Kazunari Misawa, et al.. (2013). Automated Abdominal Multi-Organ Segmentation With Subject-Specific Atlas Generation. IEEE Transactions on Medical Imaging. 32(9). 1723–1730. 195 indexed citations
10.
Wolz, Robin, Chengwen Chu, Kazunari Misawa, Kensaku Mori, & Daniel Rueckert. (2012). Multi-organ Abdominal CT Segmentation Using Hierarchically Weighted Subject-Specific Atlases. Lecture notes in computer science. 15(Pt 1). 10–17. 57 indexed citations
11.
Cardoso, M. Jorge, Robin Wolz, Marc Modat, et al.. (2012). Geodesic Information Flows. Lecture notes in computer science. 15(Pt 2). 262–270. 23 indexed citations
12.
Gray, Katherine R., Robin Wolz, Rolf A. Heckemann, et al.. (2012). Multi-region analysis of longitudinal FDG-PET for the classification of Alzheimer's disease. NeuroImage. 60(1). 221–229. 131 indexed citations
13.
Koriťáková, Eva, Maria Vounou, Robin Wolz, et al.. (2011). Fast brain-wide search of highly discriminative regions in medical images: an application to Alzheimer's disease. 17–22. 3 indexed citations
14.
Gray, Katherine R., Robin Wolz, Shiva Keihaninejad, et al.. (2011). Regional Analysis of FDG-PET for the Classification of Alzheimers Disease.. 305–310. 1 indexed citations
15.
Vounou, Maria, Eva Janoušová, Robin Wolz, et al.. (2011). Sparse reduced-rank regression detects genetic associations with voxel-wise longitudinal phenotypes in Alzheimer's disease. NeuroImage. 60(1). 700–716. 107 indexed citations
16.
Guerrero, Ricardo, Robin Wolz, & Daniel Rueckert. (2011). Laplacian Eigenmaps Manifold Learning for Landmark Localization in Brain MR Images. Lecture notes in computer science. 14(Pt 2). 566–573. 14 indexed citations
17.
Wolz, Robin, Valtteri Julkunen, Juha Koikkalainen, et al.. (2011). Multi-Method Analysis of MRI Images in Early Diagnostics of Alzheimer's Disease. PLoS ONE. 6(10). e25446–e25446. 216 indexed citations
18.
Lötjönen, Jyrki, Robin Wolz, Juha Koikkalainen, et al.. (2011). Fast and robust extraction of hippocampus from MR images for diagnostics of Alzheimer's disease. NeuroImage. 56(1). 185–196. 93 indexed citations
19.
Wolz, Robin, Paul Aljabar, Joseph V. Hajnal, Alexander Hammers, & Daniel Rueckert. (2009). LEAP: Learning embeddings for atlas propagation. NeuroImage. 49(2). 1316–1325. 162 indexed citations
20.
Klinder, Tobias, Robin Wolz, Cristian Lorenz, Astrid Franz, & Jörn Östermann. (2008). Spine Segmentation Using Articulated Shape Models. Lecture notes in computer science. 11(Pt 1). 227–234. 36 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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