Robin Wolz

5.2k citations
78 papers · 3.1k · h-index 26

Impact in

Papers in

Robin Wolz

75 papers receiving 3.0k citations

Peers

Robin Wolz
Comparison fields: 5 of 125
  • Neurology 770
  • Psychiatry and Mental health 969
  • Computer Vision and Pattern Recognition 1.2k
  • Radiology, Nuclear Medicine and Imaging 969
  • Cognitive Neuroscience 469
Replace Jyrki Lötjönen with:
Jyrki Lötjönen Finland
Daniel S. Marcus United States
Jürgen Fripp Australia
Simon Duchesne Canada
Rolf A. Heckemann United Kingdom
Marie Chupin France
Jussi Tohka Finland
Juha Koikkalainen Finland
Simon Fristed Eskildsen Denmark
F. Segovia Spain
Robin Wolz relative to Jyrki Lötjönen Finland Jyrki Lötjönen's profile →
Citations per field
00.5×1.7×
Jyrki Lötjönen · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Robin Wolz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Robin Wolz Line = papers co-authored together Robin Wolz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009300
2 2011216
3 2015196
4 2013195
5 2009162
6 2017151
7 2014146
8 2013143
9 2012131
10 2015108
11 2011107
12 2010107
13 2013103
14 2012101
15 201193
16 201257
17 201157
18 201246
19 201143
20 201443

About Robin Wolz

Robin Wolz is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health, Neurology and Physiology, having authored 78 papers that have together received 3.1k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (27 papers), Medical Image Segmentation Techniques (27 papers), Advanced Neuroimaging Techniques and Applications (15 papers), Alzheimer's disease research and treatments (13 papers), Image Retrieval and Classification Techniques (10 papers), Neurological Disease Mechanisms and Treatments (10 papers), Brain Tumor Detection and Classification (9 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). The work is most often cited by research in Neurology (770 citations), Psychiatry and Mental health (969 citations), Computer Vision and Pattern Recognition (1.2k citations), Radiology, Nuclear Medicine and Imaging (969 citations) and Cognitive Neuroscience (469 citations). Robin Wolz has collaborated with scholars based in United Kingdom, Finland and United States. Frequent 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. Their work appears in journals such as Alzheimer s & Dementia, NeuroImage, IEEE Transactions on Medical Imaging, Neurology and Medical Image Analysis.

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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