Xavier Geets

82 papers receiving 2.9k citations

Peers

Xavier Geets
Comparison fields: 5 of 73
  • Radiation 1.2k
  • Otorhinolaryngology 435
  • Radiology, Nuclear Medicine and Imaging 1.3k
  • Pulmonary and Respiratory Medicine 775
  • Health Informatics 16
Replace Roel J.H.M. Steenbakkers with:
Roel J.H.M. Steenbakkers Netherlands
J. Castelli France
Giovanni Mauro Cattaneo Italy
Minsong Cao United States
T. Lacornerie France
Yong Yin China
Simeon Nill United Kingdom
Lisanne V. van Dijk Netherlands
Ulrike Schick France
Angela van Baardwijk Netherlands
Xavier Geets relative to Roel J.H.M. Steenbakkers Netherlands Roel J.H.M. Steenbakkers's profile →
Citations per field
00.5×1.5×
Roel J.H.M. Steenbakkers · 1×
Citations per year

Countries citing papers authored by Xavier Geets

Since Specialization
Citations

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

Fields of papers citing papers by Xavier Geets

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007336
2
PET-based treatment planning in radiotherapy: a new standard?
2007171
3 2008169
4 2010153
5 2019143
6 2005143
7 2018139
8 2007135
9 2010127
10 2006103
11 2010100
12 201090
13 201680
14 201077
15 201169
16 200463
17 201856
18 202046
19 201441
20
Selection and delineation of target volumes in head and neck tumors: beyond ICRU definition.
200439

About Xavier Geets

Xavier Geets is a scholar working on Radiation, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Oncology and Biomedical Engineering, having authored 86 papers that have together received 3.0k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (44 papers), Medical Imaging Techniques and Applications (24 papers), Lung Cancer Diagnosis and Treatment (20 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Radiation Therapy and Dosimetry (7 papers), Head and Neck Cancer Studies (6 papers), Medical Image Segmentation Techniques (4 papers) and Advanced X-ray and CT Imaging (3 papers). The work is most often cited by research in Radiation (1.2k citations), Otorhinolaryngology (435 citations), Radiology, Nuclear Medicine and Imaging (1.3k citations), Pulmonary and Respiratory Medicine (775 citations) and Health Informatics (16 citations). Xavier Geets has collaborated with scholars based in Belgium, France and Netherlands. Frequent co-authors include Vincent Grégoire, John A. Lee, Max Lonneux, Pierre Castadot, Anne Bol, Edmond Sterpin, Jean‐François Daisne, Guillaume Janssens, Thierry Duprez and Benoı̂t Macq. Their work appears in journals such as Radiotherapy and Oncology, Physics in Medicine and Biology, Acta Oncologica, Journal of Applied Clinical Medical Physics and Physica Medica.

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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