Dimitris Visvikis

19.2k total citations · 5 hit papers
377 papers, 11.4k citations indexed

About

Dimitris Visvikis is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Dimitris Visvikis has authored 377 papers receiving a total of 11.4k indexed citations (citations by other indexed papers that have themselves been cited), including 321 papers in Radiology, Nuclear Medicine and Imaging, 132 papers in Radiation and 94 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Dimitris Visvikis's work include Medical Imaging Techniques and Applications (250 papers), Radiomics and Machine Learning in Medical Imaging (185 papers) and Advanced Radiotherapy Techniques (96 papers). Dimitris Visvikis is often cited by papers focused on Medical Imaging Techniques and Applications (250 papers), Radiomics and Machine Learning in Medical Imaging (185 papers) and Advanced Radiotherapy Techniques (96 papers). Dimitris Visvikis collaborates with scholars based in France, United Kingdom and United States. Dimitris Visvikis's co-authors include Mathieu Hatt, Catherine Cheze Le Rest, Olivier Pradier, Florent Tixier, F. Lamare, Laurent Corcos, N. Albarghach, Ulrike Schick, Catherine Cheze‐Le Rest and A. Turzo and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and NeuroImage.

In The Last Decade

Dimitris Visvikis

359 papers receiving 11.3k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

GATE V6: a major enhancement of the GATE simulation platform enabling modelling of CT and radiotherapy

2011 576 citations Dimitris Visvikis et al. Physics in Medicine and Biology profile →
Intratumor Heterogeneity Characterized by Textural Features on Baseline ¹⁸F-FDG PET Images Predicts Response to Concomitant Radiochemotherapy in Esophageal Cancer

2011 574 citations Florent Tixier, Catherine Cheze Le Rest et al. Journal of Nuclear Medicine profile →
A review of the use and potential of the GATE Monte Carlo simulation code for radiation therapy and dosimetry applications

2014 388 citations Panagiotis Papadimitroulas, Dimitris Visvikis et al. profile →
¹⁸F-FDG PET Uptake Characterization Through Texture Analysis: Investigating the Complementary Nature of Heterogeneity and Functional Tumor Volume in a Multi–Cancer Site Patient Cohort

2014 361 citations Mathieu Hatt, Martin Vallières et al. Journal of Nuclear Medicine profile →
Characterization of PET/CT images using texture analysis: the past, the present… any future?

2016 353 citations Mathieu Hatt, Florent Tixier et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Dimitris Visvikis	9.4k	3.2k	2.5k	2.5k	1.4k	377	11.4k
Wouter van Elmpt	8.4k 0.9×	4.2k 1.3×	2.5k 1.0×	2.7k 1.1×	1.3k 1.0×	193	10.2k
Paul E. Kinahan	16.0k 1.7×	3.7k 1.1×	5.2k 2.0×	3.5k 1.4×	1.6k 1.2×	382	19.2k
Laurence E. Court	6.8k 0.7×	3.8k 1.2×	2.5k 1.0×	3.7k 1.5×	909 0.7×	314	8.7k
Habib Zaidi	11.8k 1.3×	2.4k 0.7×	4.8k 1.9×	3.1k 1.2×	465 0.3×	628	14.2k
Marco van Vulpen	3.7k 0.4×	4.6k 1.4×	1.1k 0.4×	3.8k 1.5×	995 0.7×	214	8.3k
Sasa Mutic	9.3k 1.0×	6.7k 2.1×	2.4k 1.0×	10.4k 4.2×	409 0.3×	319	14.0k
Anwar R. Padhani	13.5k 1.4×	8.3k 2.6×	1.6k 0.6×	881 0.4×	2.7k 1.9×	287	21.1k
Dirk De Ruysscher	4.6k 0.5×	6.2k 1.9×	981 0.4×	2.6k 1.1×	2.7k 1.9×	227	10.0k
Jeffrey D. Bradley	6.0k 0.6×	8.3k 2.6×	997 0.4×	6.0k 2.5×	2.1k 1.6×	338	12.1k
George T.Y. Chen	4.7k 0.5×	4.0k 1.2×	1.4k 0.5×	5.0k 2.0×	660 0.5×	187	8.6k

Countries citing papers authored by Dimitris Visvikis

Since Specialization

Citations

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

Fields of papers citing papers by Dimitris Visvikis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dimitris Visvikis

This figure shows the co-authorship network connecting the top 25 collaborators of Dimitris Visvikis. A scholar is included among the top collaborators of Dimitris Visvikis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dimitris Visvikis. Dimitris Visvikis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

McNulty, J.P., Adrian P. Brady, Boris Brkljačić, et al.. (2025). Guidelines and recommendations for radiographer education from the EU-REST project. Insights into Imaging. 16(1). 242–242.

Iorio, Valentina Di, Anna Sarnelli, Stefano Boschi, et al.. (2025). Recommendations on the Clinical Application and Future Potential of α-Particle Therapy. A Comprehensive Review of the Results from the SECURE Project. Preprints.org. 1 indexed citations

Bourbonne, Vincent, François Lucia, Ulrike Schick, et al.. (2024). CT respiratory motion synthesis using joint supervised and adversarial learning. Physics in Medicine and Biology. 69(9). 95001–95001.

Bourbonne, Vincent, et al.. (2024). Learning Transferability in Deep Segmentation of Liver Metastases. SPIRE - Sciences Po Institutional REpository. 1–5. 1 indexed citations

Bousse, Alexandre, et al.. (2024). Diffusion Posterior Sampling for Synergistic Reconstruction in Spectral Computed Tomography. SPIRE - Sciences Po Institutional REpository. 6. 1–5. 1 indexed citations

Da‐ano, Ronrick, et al.. (2024). Multi-Modal PET/CT Fusion for Automated PD-L1 Status Prediction in Lung Cancer. SPIRE - Sciences Po Institutional REpository. 1–5. 1 indexed citations

Bousse, Alexandre, Kuangyu Shi, Kuang Gong, et al.. (2024). A Review on Low-Dose Emission Tomography Post-Reconstruction Denoising With Neural Network Approaches. IEEE Transactions on Radiation and Plasma Medical Sciences. 8(4). 333–347. 13 indexed citations

Jaouen, Vincent, et al.. (2023). Multi-modal medical Transformers: A meta-analysis for medical image segmentation in oncology. Computerized Medical Imaging and Graphics. 110. 102308–102308. 21 indexed citations

Bert, Julien, et al.. (2021). Optimizing the Beam Selection for Noncoplanar VMAT by Using Simulated Annealing Approach. IEEE Transactions on Radiation and Plasma Medical Sciences. 6(5). 609–618. 7 indexed citations

10.

Bert, Julien, et al.. (2021). Fast Monte Carlo-Based Inverse Planning for Prostate Brachytherapy by Using Deep Learning. IEEE Transactions on Radiation and Plasma Medical Sciences. 6(2). 182–188. 16 indexed citations

11.

Chatzipapas, Konstantinos, Panagiotis Papadimitroulas, Julien Bert, et al.. (2021). Standardization and Validation of Brachytherapy Seeds’ Modelling Using GATE and GGEMS Monte Carlo Toolkits. Cancers. 13(21). 5315–5315. 2 indexed citations

12.

Bourbonne, Vincent, Ronrick Da‐ano, Vincent Jaouen, et al.. (2020). Radiomics analysis of 3D dose distributions to predict toxicity of radiotherapy for lung cancer. Radiotherapy and Oncology. 155. 144–150. 45 indexed citations

13.

Dissaux, Gurvan, Dimitris Visvikis, Ronrick Da‐ano, et al.. (2019). Pretreatment ¹⁸F-FDG PET/CT Radiomics Predict Local Recurrence in Patients Treated with Stereotactic Body Radiotherapy for Early-Stage Non–Small Cell Lung Cancer: A Multicentric Study. Journal of Nuclear Medicine. 61(6). 814–820. 137 indexed citations

14.

González, Antonio J., et al.. (2019). Ensemble of neural networks for 3D position estimation in monolithic PET detectors. Physics in Medicine and Biology. 64(19). 195010–195010. 34 indexed citations

15.

Visvikis, Dimitris, et al.. (2018). Improved Woodcock tracking on Monte Carlo simulations for medical applications. Physics in Medicine and Biology. 63(22). 225005–225005. 4 indexed citations

16.

Upadhaya, Taman, Martin Vallières, Avishek Chatterjee, et al.. (2018). Comparison of Radiomics Models Built Through Machine Learning in a Multicentric Context With Independent Testing: Identical Data, Similar Algorithms, Different Methodologies. IEEE Transactions on Radiation and Plasma Medical Sciences. 3(2). 192–200. 19 indexed citations

17.

Grootjans, Willem, Florent Tixier, Dennis Vriens, et al.. (2015). Impact of Optimal Respiratory Gated Positron Emission Tomography on Characterisation of Intra-Tumour Heterogeneity in Lung Cancer Patients. Data Archiving and Networked Services (DANS). 1 indexed citations

18.

Francis, Deanne, Stephen J. Hughes, Dimitris Visvikis, et al.. (2004). Colorectal 23–28. British journal of surgery. 91(Supplement_1). 63–65. 1 indexed citations

19.

Visvikis, Dimitris, et al.. (2003). The impact of FDG PET/CT in colorectal cancer - An outcome study.. UCL Discovery (University College London). 3 indexed citations

20.

Visvikis, Dimitris, et al.. (2002). Quantitative comparison of 18FDG and 18FLT in colorectal carcinoma. UCL Discovery (University College London). 2 indexed citations

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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