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 0.02%
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 160
- Medical Imaging Techniques and Applications 81
- Effects of Radiation Exposure 36
-
- Lung Cancer Diagnosis and Treatment 84
- Co-authors
- Hugo J.W.L. Aerts (53 shared papers)André Dekker (99 shared papers)Ralph T. H. Leijenaar (75 shared papers)Robert J. Gillies (16 shared papers)Sara Carvalho (23 shared papers)Wouter van Elmpt (76 shared papers)Chintan Parmar (12 shared papers)Patrick Großmann (9 shared papers)
- Journals
- Radiotherapy and Oncology (196 papers)International Journal of Radiation Oncology*Biology*Physics (67 papers)Acta Oncologica (20 papers)Medical Physics (18 papers)European Journal of Cancer (18 papers)
- Partner nations
- NetherlandsBelgiumUnited States
In The Last Decade
Philippe Lambin
681 papers receiving 46.4k citations
Philippe Lambin's Hit Papers
Peers
Comparison fields: 5 of 204
- Radiology, Nuclear Medicine and Imaging 21.1k
- Health Informatics 936
- Radiation 3.9k
- Otorhinolaryngology 1.5k
- Pulmonary and Respiratory Medicine 10.8k
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 711 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 | 4241 |
| 2 | Radiomics: the bridge between medical imaging and personalized medicine Hit paper breakdown → | 2017 | 3895 |
| 3 | Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach Hit paper breakdown → | 2014 | 3727 |
| 4 | Radiomics: the process and the challenges Hit paper breakdown → | 2012 | 1686 |
| 5 | Machine Learning methods for Quantitative Radiomic Biomarkers Hit paper breakdown → | 2015 | 766 |
| 6 | The unfolded protein response protects human tumor cells during hypoxia through regulation of the autophagy genes MAP1LC3B and ATG5 Hit paper breakdown → | 2009 | 662 |
| 7 | CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma Hit paper breakdown → | 2015 | 550 |
| 8 | Robust Radiomics Feature Quantification Using Semiautomatic Volumetric Segmentation Hit paper breakdown → | 2014 | 473 |
| 9 | 2001 | 457 | |
| 10 | 2011 | 390 | |
| 11 | Selection of patients for radiotherapy with protons aiming at reduction of side effects: The model-based approach Hit paper breakdown → | 2013 | 385 |
| 12 | Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancer Hit paper breakdown → | 2015 | 359 |
| 13 | A literature review of electronic portal imaging for radiotherapy dosimetry Hit paper breakdown → | 2008 | 358 |
| 14 | Stability of FDG-PET Radiomics features: An integrated analysis of test-retest and inter-observer variability Hit paper breakdown → | 2013 | 339 |
| 15 | The effect of SUV discretization in quantitative FDG-PET Radiomics: the need for standardized methodology in tumor texture analysis Hit paper breakdown → | 2015 | 331 |
| 16 | Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer Hit paper breakdown → | 2015 | 305 |
| 17 | Exploratory Study to Identify Radiomics Classifiers for Lung Cancer Histology Hit paper breakdown → | 2016 | 305 |
| 18 | 2006 | 293 | |
| 19 | Transparency of deep neural networks for medical image analysis: A review of interpretability methods Hit paper breakdown → | 2021 | 287 |
| 20 | 2012 | 283 |
About Philippe Lambin
Philippe Lambin is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Radiation, having authored 711 papers that have together received 47.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (160 papers), Lung Cancer Diagnosis and Treatment (84 papers), Medical Imaging Techniques and Applications (81 papers), Advanced Radiotherapy Techniques (78 papers), Cancer, Hypoxia, and Metabolism (65 papers), Advanced X-ray and CT Imaging (41 papers), Effects of Radiation Exposure (36 papers) and Cancer Research and Treatments (35 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (21.1k citations), Health Informatics (936 citations), Radiation (3.9k citations), Otorhinolaryngology (1.5k citations) and Pulmonary and Respiratory Medicine (10.8k 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, Medical Physics 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.