Julia Krüger

412 citations
34 papers · 240 · h-index 9

Impact in

    • Brain Tumor Detection and Classification
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments
    • Multiple Sclerosis Research Studies

Papers in

Julia Krüger

31 papers receiving 232 citations

Peers

Julia Krüger
Comparison fields: 5 of 47
  • Neurology 29
  • Pathology and Forensic Medicine 57
  • Radiology, Nuclear Medicine and Imaging 60
  • Health Informatics 3
  • Neurology 31
Replace Sheeba J. Sujit with:
Sheeba J. Sujit United States
Longzheng Tong China
Guillaume Calmon France
Liyu Wei China
Jacob C. Reinhold United States
Delphine Ribes Switzerland
Po‐Jui Lu Switzerland
Ivan Coronado United States
Max W. K. Law Hong Kong
Frank Yu United States
Julia Krüger relative to Sheeba J. Sujit United States Sheeba J. Sujit's profile →
Citations per field
00.5×2.6×
Sheeba J. Sujit · 1×
Citations per year

Countries citing papers authored by Julia Krüger

Since Specialization
Citations

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

Fields of papers citing papers by Julia Krüger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Julia Krüger, 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 Julia Krüger Line = papers co-authored together Julia Krüger links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201944
2 202044
3 202220
4 202116
5 202114
6 20239
7 20238
8 20178
9 20208
10 20147
11 20227
12 20236
13 20226
14 20225
15 20195
16 20135
17 20154
18 20233
19 20242
20 20242

About Julia Krüger

Julia Krüger is a scholar working on Pathology and Forensic Medicine, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computational Mechanics, having authored 34 papers that have together received 240 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (10 papers), Medical Image Segmentation Techniques (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), COVID-19 diagnosis using AI (5 papers), 3D Shape Modeling and Analysis (4 papers), AI in cancer detection (3 papers), Medical Imaging Techniques and Applications (3 papers) and Image Retrieval and Classification Techniques (3 papers). The work is most often cited by research in Neurology (29 citations), Pathology and Forensic Medicine (57 citations), Radiology, Nuclear Medicine and Imaging (60 citations), Health Informatics (3 citations) and Neurology (31 citations). Julia Krüger has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Roland Opfer, Alexander Schlaefer, Sven Schippling, Hagen H. Kitzler, Ralph Buchert, Heinz Handels, Jan Ehrhardt, Ann‐Christin Ostwaldt, Lothar Spies and Nils Gessert. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, European Radiology, Neuroradiology, European Journal of Nuclear Medicine and Molecular Imaging and NeuroImage Clinical.

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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