Gem Kramer

429 total citations
14 papers, 287 citations indexed

About

Gem Kramer is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Gem Kramer has authored 14 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Biomedical Engineering. Recurrent topics in Gem Kramer's work include Medical Imaging Techniques and Applications (10 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and MRI in cancer diagnosis (5 papers). Gem Kramer is often cited by papers focused on Medical Imaging Techniques and Applications (10 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and MRI in cancer diagnosis (5 papers). Gem Kramer collaborates with scholars based in Netherlands, Belgium and United Kingdom. Gem Kramer's co-authors include Elise P. Jansma, Wim J.G. Oyen, Vikram Rao Bollineni, Otto S. Hoekstra, Ronald Boellaard, Daniela E. Oprea‐Lager, Luc Bidaut, Jean‐Noël Talbot, Laurence Collette and Ken Herrmann and has published in prestigious journals such as PLoS ONE, The Lancet Oncology and European Journal of Cancer.

In The Last Decade

Gem Kramer

14 papers receiving 287 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Gem Kramer Netherlands	8	194	161	55	37	22	14	287
Kristoff Muylle Belgium	8	251 1.3×	117 0.7×	64 1.2×	36 1.0×	42 1.9×	19	381
A.R. Alitto Italy	10	97 0.5×	127 0.8×	44 0.8×	17 0.5×	92 4.2×	31	228
Yoshihide Kanemaki Japan	12	233 1.2×	60 0.4×	41 0.7×	80 2.2×	12 0.5×	44	410
Sofia C. Vaz Portugal	12	245 1.3×	176 1.1×	95 1.7×	68 1.8×	31 1.4×	36	429
Kwok‐Hung Yu China	8	338 1.7×	49 0.3×	51 0.9×	25 0.7×	23 1.0×	8	446
Werner Spengler Germany	10	200 1.0×	233 1.4×	96 1.7×	18 0.5×	16 0.7×	22	408
Rocchina Caivano Italy	12	144 0.7×	158 1.0×	32 0.6×	28 0.8×	103 4.7×	30	301
Virginia Liberini Italy	14	282 1.5×	149 0.9×	204 3.7×	32 0.9×	17 0.8×	33	467
C. Zwarthoed France	5	175 0.9×	114 0.7×	93 1.7×	41 1.1×	8 0.4×	12	329
Reyhaneh Manafi‐Farid Iran	12	208 1.1×	175 1.1×	118 2.1×	37 1.0×	5 0.2×	25	339

Countries citing papers authored by Gem Kramer

Since Specialization

Citations

This map shows the geographic impact of Gem 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 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 Kramer more than expected).

Fields of papers citing papers by Gem Kramer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gem Kramer

This figure shows the co-authorship network connecting the top 25 collaborators of Gem Kramer. A scholar is included among the top collaborators of Gem Kramer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gem Kramer. Gem Kramer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Cornelissen, L. J., Tineke P. Willems, Gem Kramer, et al.. (2022). Qualitative Evaluation of Common Quantitative Metrics for Clinical Acceptance of Automatic Segmentation: a Case Study on Heart Contouring from CT Images by Deep Learning Algorithms. Journal of Digital Imaging. 35(2). 240–247. 8 indexed citations

Pfaehler, Elisabeth, Liesbet Mesotten, Gem Kramer, et al.. (2021). Repeatability of two semi-automatic artificial intelligence approaches for tumor segmentation in PET. EJNMMI Research. 11(1). 4–4. 21 indexed citations

Pfaehler, Elisabeth, Coreline N. Burggraaff, Gem Kramer, et al.. (2020). PET segmentation of bulky tumors: Strategies and workflows to improve inter-observer variability. PLoS ONE. 15(3). e0230901–e0230901. 18 indexed citations

Carlin, Dominic, Gem Kramer, Yan Liu, et al.. (2019). Evaluation of diffusion-weighted MRI and (18F) fluorothymidine-PET biomarkers for early response assessment in patients with operable non-small cell lung cancer treated with neoadjuvant chemotherapy. BJR|Open. 1(1). 20190029–20190029. 5 indexed citations

Jansen, B.H.E., Gem Kramer, Matthijs C. F. Cysouw, et al.. (2019). Healthy Tissue Uptake of⁶⁸Ga-Prostate-Specific Membrane Antigen,¹⁸F-DCFPyL,¹⁸F-Fluoromethylcholine, and¹⁸F-Dihydrotestosterone. Journal of Nuclear Medicine. 60(8). 1111–1117. 21 indexed citations

Lecouvet, Frédéric, Daniela E. Oprea‐Lager, Yan Liu, et al.. (2018). Use of modern imaging methods to facilitate trials of metastasis-directed therapy for oligometastatic disease in prostate cancer: a consensus recommendation from the EORTC Imaging Group. The Lancet Oncology. 19(10). e534–e545. 87 indexed citations

Lavini, Cristina, et al.. (2017). MRI protocol optimization for quantitative DCE-MRI of the spine. Magnetic Resonance Imaging. 44. 96–103. 7 indexed citations

Lavini, Cristina, Lucas J. van Vliet, Gem Kramer, et al.. (2017). Estimating the arterial input function from dynamic contrast‐enhanced MRI data with compensation for flow enhancement (II): Applications in spine diagnostics and assessment of crohn's disease. Journal of Magnetic Resonance Imaging. 47(5). 1197–1204. 3 indexed citations

Bollineni, Vikram Rao, et al.. (2016). A systematic review on [18F]FLT-PET uptake as a measure of treatment response in cancer patients. European Journal of Cancer. 55. 81–97. 79 indexed citations

10.

Oprea‐Lager, Daniela E., Gem Kramer, Peter M. van de Ven, et al.. (2015). Repeatability of Quantitative ¹⁸F-Fluoromethylcholine PET/CT Studies in Prostate Cancer. Journal of Nuclear Medicine. 57(5). 721–727. 17 indexed citations

11.

Kramer, Gem, Eline E. Verwer, Marc C. Huisman, et al.. (2015). Multiparametric Analysis of the Relationship Between Tumor Hypoxia and Perfusion with ¹⁸F-Fluoroazomycin Arabinoside and ¹⁵O-H₂O PET. Journal of Nuclear Medicine. 57(4). 530–535. 13 indexed citations

12.

Kramer, Gem, Virginie Frings, Ida A. Nissen, et al.. (2015). Impact of reconstruction algorithms on the repeatability of various PET/CT radiomics features in lung cancer patient. 56. 428–428. 1 indexed citations

13.

Kramer, Gem, Virginie Frings, Nikie J. Hoetjes, et al.. (2015). Repeatability of quantitative uptake measures of whole body [18F]FDG PET/CT in NSCLC patients.. 56. 1379–1379. 1 indexed citations

14.

Kramer, Gem, Maqsood Yaqub, Idris Bahce, et al.. (2013). CT‐perfusion versus [¹⁵O]H₂O PET in lung tumors: Effects of CT‐perfusion methodology. Medical Physics. 40(5). 52502–52502. 6 indexed citations

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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