Philippe Lambin

73.6k citations
715 papers · 57.9k · 25 hit papers · h-index 104

Impact in

Papers in

Philippe Lambin

702 papers receiving 56.8k citations

Philippe Lambin's Hit Papers

Radiomics Quality Score 2.0: towards radiomics readiness levels and clinical translation for personalized medicine 2025 · 22 citations
220+3+7Years since publication1k2k3k4k

Peers

Philippe Lambin
Comparison fields: 5 of 205
  • Radiology, Nuclear Medicine and Imaging 30.7k
  • Health Informatics 1.8k
  • Radiation 5.6k
  • Pulmonary and Respiratory Medicine 7.5k
  • Cancer Research 3.1k
Replace Lawrence Howard Schwartz with:
Lawrence Howard Schwartz United States
Robert J. Gillies United States
Peter L. Choyke United States
Richard L. Wahl United States
Jürgen Debus Germany
Theodore Steven Lawrence United States
Hugo J.W.L. Aerts United States
Mithat Gönen United States
Dirk De Ruysscher Netherlands
Søren Møller Bentzen United States
Philippe Lambin relative to Lawrence Howard Schwartz United States Lawrence Howard Schwartz's profile →
Citations per field
00.5×2×3×4×4.6×
Lawrence Howard Schwartz · 1×
Citations per year

Countries citing papers authored by Philippe Lambin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Philippe Lambin Line = papers co-authored together Philippe Lambin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 715 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 →
20124667
2
Radiomics: the bridge between medical imaging and personalized medicine
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20174310
3
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
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20144082
4
The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping
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20202935
5
Radiomics: the process and the challenges
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20121832
6
Imaging biomarker roadmap for cancer studies
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2016881
7
Machine Learning methods for Quantitative Radiomic Biomarkers
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2015845
8
The unfolded protein response protects human tumor cells during hypoxia through regulation of the autophagy genes MAP1LC3B and ATG5
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2009705
9
CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma
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2015584
10
Robust Radiomics Feature Quantification Using Semiautomatic Volumetric Segmentation
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2014510
11 2001489
12
Selection of patients for radiotherapy with protons aiming at reduction of side effects: The model-based approach
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2013442
13 2011441
14 2015390
15
Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancer
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2015378
16
A literature review of electronic portal imaging for radiotherapy dosimetry
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2008371
17
Stability of FDG-PET Radiomics features: An integrated analysis of test-retest and inter-observer variability
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2013357
18
The effect of SUV discretization in quantitative FDG-PET Radiomics: the need for standardized methodology in tumor texture analysis
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2015353
19
Transparency of deep neural networks for medical image analysis: A review of interpretability methods
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2021346
20
Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer
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2015332

About Philippe Lambin

Philippe Lambin is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Pulmonary and Respiratory Medicine, Cancer Research and Oncology, having authored 715 papers that have together received 57.9k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (135 papers), Advanced Radiotherapy Techniques (125 papers), Lung Cancer Diagnosis and Treatment (92 papers), Medical Imaging Techniques and Applications (69 papers), Cancer, Hypoxia, and Metabolism (58 papers), Radiation Therapy and Dosimetry (37 papers), Effects of Radiation Exposure (28 papers) and Cancer Research and Treatments (26 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (30.7k citations), Health Informatics (1.8k citations), Radiation (5.6k citations), Pulmonary and Respiratory Medicine (7.5k citations) and Cancer Research (3.1k citations). Philippe Lambin has collaborated with scholars based in Netherlands, Belgium and United States. Frequent co-authors include Hugo J.W.L. Aerts, Andre L.A.J. Dekker, Ralph T. H. Leijenaar, Dirk De Ruysscher, Emmanuel Rios Velazquez, Robert J. Gillies, Wouter van Elmpt, Sara Carvalho, Chintan Parmar and Patrick Großmann. Their work appears in journals such as Radiotherapy and Oncology, International Journal of Radiation Oncology*Biology*Physics, Acta Oncologica, European Journal of Cancer and Cancers.

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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