Joerg Bredno

3.8k citations
55 papers · 1.1k · h-index 17

Impact in

  • Neurology top 10%
    • Traumatic Brain Injury and Neurovascular Disturbances
    • Barrier Structure and Function Studies
    • Image Retrieval and Classification Techniques
    • Medical Image Segmentation Techniques
    • Advanced Image and Video Retrieval Techniques

Papers in

Joerg Bredno

52 papers receiving 1.1k citations

Peers

Joerg Bredno
Comparison fields: 5 of 100
  • Neurology 118
  • Neurology 169
  • Computer Vision and Pattern Recognition 221
  • Epidemiology 316
  • Internal Medicine 29
Replace Christian Matula with:
Christian Matula Austria
Seung Chai Jung South Korea
Máté E. Maros Germany
Evgenii Belykh United States
Fulvio Zaccagna Italy
John A. Arrington United States
Helge Kniep Germany
Masayuki Tsuneki Japan
Raphael Meier Switzerland
Nadia K. Waheed United States
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Citations per field
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Christian Matula · 1×
Citations per year

Countries citing papers authored by Joerg Bredno

Since Specialization
Citations

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

Fields of papers citing papers by Joerg Bredno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009143
2 2010128
3 2010112
4 2002105
5 199979
6 201863
7 200949
8 202148
9 201033
10 200932
11 200332
12 200825
13 201123
14 202222
15 201019
16 201418
17 201916
18 201015
19 201214
20 201010

About Joerg Bredno

Joerg Bredno is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Cancer Research and Neurology, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (14 papers), Cancer Genomics and Diagnostics (10 papers), Cerebrovascular and Carotid Artery Diseases (10 papers), Acute Ischemic Stroke Management (7 papers), Advanced MRI Techniques and Applications (7 papers), Image Retrieval and Classification Techniques (6 papers), MRI in cancer diagnosis (5 papers) and Medical Imaging Techniques and Applications (5 papers). The work is most often cited by research in Neurology (118 citations), Neurology (169 citations), Computer Vision and Pattern Recognition (221 citations), Epidemiology (316 citations) and Internal Medicine (29 citations). Joerg Bredno has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Max Wintermark, Jason Hom, Thomas Lehmann, Bruno P. Soares, Wade S. Smith, Jan Willem Dankbaar, B. Wein, Michael Kohnen, Su–Chun Cheng and Thomas Schneider. Their work appears in journals such as Journal of Clinical Oncology, Stroke, American Journal of Neuroradiology, Medical Physics and Journal of Neuroradiology.

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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