M. Philippens

426 citations
6 papers · 312 · 1 hit paper · h-index 3

Impact in

  • Radiation top 5%
    • Advanced Radiotherapy Techniques
    • Medical Imaging Techniques and Applications
    • Advanced MRI Techniques and Applications
    • Radiomics and Machine Learning in Medical Imaging
    • MRI in cancer diagnosis

Papers in

M. Philippens

6 papers receiving 310 citations

M. Philippens's Hit Papers

MR-guidance in clinical reality: current treatment challenges and future perspectives 2019 · 270 citations
2700+2+4Years since publication50100150200250

Peers

M. Philippens
Comparison fields: 5 of 31
  • Radiation 165
  • Radiology, Nuclear Medicine and Imaging 110
  • Pulmonary and Respiratory Medicine 92
  • Obstetrics and Gynecology 12
  • Otorhinolaryngology 6
Replace Greetje Groenendaal with:
Greetje Groenendaal Netherlands
I.S. Grills United States
Teuta Zoto Mustafayev Türkiye
S. Vigorito Italy
Alistair Hunter South Africa
Koichi Wadasaki Japan
P. Lattuada Italy
Irina Vergalasova United States
N.G. Di Muzio Italy
Görkem Güngör Türkiye
M. Philippens relative to Greetje Groenendaal Netherlands Greetje Groenendaal's profile →
Citations per field
00.5×5.3×
Greetje Groenendaal · 1×
Citations per year

Countries citing papers authored by M. Philippens

Since Specialization
Citations

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

Fields of papers citing papers by M. Philippens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1
MR-guidance in clinical reality: current treatment challenges and future perspectives
Hit paper breakdown →
2019270
2 201730
3 20227
4 20222
5 20192
6 20161

About M. Philippens

M. Philippens is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Genetics, Radiation and Artificial Intelligence, having authored 6 papers that have together received 312 indexed citations. Recurring topics across this work include Brain Metastases and Treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Breast Cancer Treatment Studies (1 paper), Advanced Radiotherapy Techniques (1 paper), Radiation Therapy and Dosimetry (1 paper), Cancer-related cognitive impairment studies (1 paper), Medical Imaging Techniques and Applications (1 paper) and AI in cancer detection (1 paper). The work is most often cited by research in Radiation (165 citations), Radiology, Nuclear Medicine and Imaging (110 citations), Pulmonary and Respiratory Medicine (92 citations), Obstetrics and Gynecology (12 citations) and Otorhinolaryngology (6 citations). M. Philippens has collaborated with scholars based in Netherlands, Germany and Italy. Frequent co-authors include Frank J. Lagerwaard, M. Palacios, Maximilian Niyazi, Francesco Cellini, Filippo Alongi, Matthias Gückenberger, Stefanie Corradini, Juliane Hörner‐Rieber, Cornelis P.J. Raaijmakers and Chris H.J. Terhaard. Their work appears in journals such as Radiotherapy and Oncology, International Journal of Radiation Oncology*Biology*Physics, BMC Cancer, Medical Physics and Radiation 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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