Gem M. Kramer

437 citations
17 papers · 347 · h-index 8

Impact in

Papers in

Gem M. Kramer

16 papers receiving 343 citations

Peers

Gem M. Kramer
Comparison fields: 5 of 32
  • Radiology, Nuclear Medicine and Imaging 217
  • Pulmonary and Respiratory Medicine 146
  • Health Informatics 4
  • Cancer Research 17
  • Radiation 10
Replace Matt Vanderhoek with:
Matt Vanderhoek United States
Funmilayo I. Tade United States
Maria Vinsensia Germany
Anna Kuisma Finland
Yaopan Wu China
Frederic Dietzel Germany
Charles Lemarignier France
Katya M. Duvivier Netherlands
Hussam Al-Deen Ashab United States
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Citations per field
00.5×2×2.9×
Matt Vanderhoek · 1×
Citations per year

Countries citing papers authored by Gem M. Kramer

Since Specialization
Citations

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

Fields of papers citing papers by Gem M. Kramer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gem M. Kramer. 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 Gem M. Kramer. The network helps show where Gem M. Kramer may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2018102
2 201687
3 201924
4 201823
5 202122
6 202021
7 201519
8 201515
9 20228
10 20177
11 20136
12 20195
13 20174
14 20202
15
Impact of reconstruction algorithms on the repeatability of various PET/CT radiomics features in lung cancer patient
20151
16
Repeatability of quantitative uptake measures of whole body [18F]FDG PET/CT in NSCLC patients.
20151
17 20250

About Gem M. Kramer

Gem M. Kramer is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition, Cancer Research and Surgery, having authored 17 papers that have together received 347 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (9 papers), Medical Image Segmentation Techniques (4 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Lung Cancer Diagnosis and Treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Advanced MRI Techniques and Applications (2 papers), Prostate Cancer Treatment and Research (2 papers) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (217 citations), Pulmonary and Respiratory Medicine (146 citations), Health Informatics (4 citations), Cancer Research (17 citations) and Radiation (10 citations). Gem M. Kramer has collaborated with scholars based in Netherlands, Belgium and United Kingdom. Frequent co-authors include Otto S. Hoekstra, Y. Liu, Vikram Rao Bollineni, Elise P. Jansma, Wim J.G. Oyen, Ronald Boellaard, Daniela-Elena Oprea-Lager, Nandita M. deSouza, Yolande N. Lievens and Dominique Pasquier. Their work appears in journals such as Journal of Nuclear Medicine, Journal of Imaging Informatics in Medicine, The Lancet Oncology, Journal of Magnetic Resonance Imaging and PLoS ONE.

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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