John Freymann

13.8k citations
28 papers · 5.8k · 2 hit papers · h-index 18

Impact in

Papers in

John Freymann

28 papers receiving 5.6k citations

John Freymann's Hit Papers

Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features 2017 · 1.5k citations
1.5k0+4+8Years since publication10002.0k3.0k

Peers

John Freymann
Comparison fields: 5 of 122
  • Health Informatics 225
  • Neurology 1.2k
  • Radiology, Nuclear Medicine and Imaging 2.9k
  • Computer Vision and Pattern Recognition 1.6k
  • Genetics 745
Replace Justin Kirby with:
Justin Kirby United States
Spyridon Bakas United States
Bruce A. Vendt United States
Stephen Moore United States
Lawrence Tarbox United States
Hamed Akbari United States
Michael Pringle United Kingdom
Paul Koppel Netherlands
Jinhua Yu China
Di Dong China
John Freymann relative to Justin Kirby United States Justin Kirby's profile →
Citations per field
00.5×1.5×
Justin Kirby · 1×
Citations per year

Countries citing papers authored by John Freymann

Since Specialization
Citations

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

Fields of papers citing papers by John Freymann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository
Hit paper breakdown →
20133031
2
Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features
Hit paper breakdown →
20171533
3 2014177
4 2012114
5 201796
6 201591
7 201382
8 201476
9 201570
10 201165
11 201459
12 201857
13 201554
14 201554
15 201748
16 201542
17 202031
18 201917
19 201916
20 201213

About John Freymann

John Freymann is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Genetics, Artificial Intelligence and Oncology, having authored 28 papers that have together received 5.8k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (14 papers), Glioma Diagnosis and Treatment (6 papers), Medical Imaging Techniques and Applications (4 papers), AI in cancer detection (4 papers), Lung Cancer Diagnosis and Treatment (3 papers), Digital Radiography and Breast Imaging (3 papers), Cancer Genomics and Diagnostics (2 papers) and Advanced X-ray and CT Imaging (2 papers). The work is most often cited by research in Health Informatics (225 citations), Neurology (1.2k citations), Radiology, Nuclear Medicine and Imaging (2.9k citations), Computer Vision and Pattern Recognition (1.6k citations) and Genetics (745 citations). John Freymann has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Justin Kirby, Fred Prior, Kirk Smith, Lawrence Tarbox, Kenneth Clark, Bruce A. Vendt, Stephen Moore, Paul Koppel, Michael Pringle and Keyvan Farahani. Their work appears in journals such as Medical Physics, Radiology, Scientific Data, Journal of Digital Imaging and Journal of Clinical Oncology.

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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