Philippe Lambin
Impact in
- Radiology, Nuclear Medicine and Imaging top 0.01%
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- MRI in cancer diagnosis
- Health Informatics top 0.01%
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 242
- Medical Imaging Techniques and Applications 161
-
- Lung Cancer Diagnosis and Treatment 143
- Lung Cancer Treatments and Mutations 56
- Radiation Therapy and Dosimetry 51
- Co-authors
- Hugo J.W.L. Aerts (53 shared papers)André Dekker (100 shared papers)Ralph T. H. Leijenaar (76 shared papers)Robert J. Gillies (16 shared papers)Sara Carvalho (23 shared papers)Wouter van Elmpt (77 shared papers)Chintan Parmar (12 shared papers)Patrick Großmann (9 shared papers)
- Journals
- Radiotherapy and Oncology (199 papers)International Journal of Radiation Oncology*Biology*Physics (68 papers)Acta Oncologica (20 papers)Cancers (18 papers)European Journal of Cancer (18 papers)
- Partner nations
- NetherlandsBelgiumUnited States
In The Last Decade
Philippe Lambin
691 papers receiving 45.9k citations
Philippe Lambin's Hit Papers
Peers
Comparison fields: 5 of 205
- Radiology, Nuclear Medicine and Imaging 29.7k
- Health Informatics 1.2k
- Radiation 5.8k
- Otorhinolaryngology 2.4k
- Pulmonary and Respiratory Medicine 17.4k
Countries citing papers authored by Philippe Lambin
This map shows the geographic impact of Philippe Lambin'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 Philippe Lambin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Lambin more than expected).
Fields of papers citing papers by Philippe Lambin
This network shows the impact of papers produced by Philippe Lambin. 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 Philippe Lambin. The network helps show where Philippe Lambin may publish in the future.
Co-authors
The 25 scholars most cited alongside Philippe Lambin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 720 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Radiomics: Extracting more information from medical images using advanced feature analysis Hit paper breakdown → | 2012 | 4110 |
| 2 | Radiomics: the bridge between medical imaging and personalized medicine Hit paper breakdown → | 2017 | 3729 |
| 3 | Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach Hit paper breakdown → | 2014 | 3646 |
| 4 | Radiomics: the process and the challenges Hit paper breakdown → | 2012 | 1657 |
| 5 | Machine Learning methods for Quantitative Radiomic Biomarkers Hit paper breakdown → | 2015 | 746 |
| 6 | The unfolded protein response protects human tumor cells during hypoxia through regulation of the autophagy genes MAP1LC3B and ATG5 Hit paper breakdown → | 2009 | 654 |
| 7 | CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma Hit paper breakdown → | 2015 | 547 |
| 8 | Robust Radiomics Feature Quantification Using Semiautomatic Volumetric Segmentation Hit paper breakdown → | 2014 | 468 |
| 9 | 2001 | 455 | |
| 10 | Nomograms for Predicting Local Recurrence, Distant Metastases, and Overall Survival for Patients With Locally Advanced Rectal Cancer on the Basis of European Randomized Clinical Trials Hit paper breakdown → | 2011 | 386 |
| 11 | Selection of patients for radiotherapy with protons aiming at reduction of side effects: The model-based approach Hit paper breakdown → | 2013 | 377 |
| 12 | Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancer Hit paper breakdown → | 2015 | 358 |
| 13 | A literature review of electronic portal imaging for radiotherapy dosimetry Hit paper breakdown → | 2008 | 356 |
| 14 | 2013 | 336 | |
| 15 | The effect of SUV discretization in quantitative FDG-PET Radiomics: the need for standardized methodology in tumor texture analysis Hit paper breakdown → | 2015 | 327 |
| 16 | Exploratory Study to Identify Radiomics Classifiers for Lung Cancer Histology Hit paper breakdown → | 2016 | 299 |
| 17 | Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer Hit paper breakdown → | 2015 | 297 |
| 18 | 2006 | 292 | |
| 19 | 2012 | 281 | |
| 20 | 2017 | 260 |
About Philippe Lambin
Philippe Lambin is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Radiation, Oncology and Cancer Research, having authored 720 papers that have together received 46.6k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (242 papers), Medical Imaging Techniques and Applications (161 papers), Lung Cancer Diagnosis and Treatment (143 papers), Advanced Radiotherapy Techniques (143 papers), Cancer, Hypoxia, and Metabolism (77 papers), Advanced X-ray and CT Imaging (59 papers), Lung Cancer Treatments and Mutations (56 papers) and Radiation Therapy and Dosimetry (51 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (29.7k citations), Health Informatics (1.2k citations), Radiation (5.8k citations), Otorhinolaryngology (2.4k citations) and Pulmonary and Respiratory Medicine (17.4k citations). Philippe Lambin has collaborated with scholars based in Netherlands, Belgium and United States. Frequent co-authors include Hugo J.W.L. Aerts, André Dekker, Ralph T. H. Leijenaar, Robert J. Gillies, Sara Carvalho, Wouter van Elmpt, Chintan Parmar, Patrick Großmann, Johan Bussink and Ruud G.P.M. van Stiphout. Their work appears in journals such as Radiotherapy and Oncology, International Journal of Radiation Oncology*Biology*Physics, Acta Oncologica, Cancers and European Journal of Cancer.
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.