Djamel Dabli

1.3k total citations · 1 hit paper
54 papers, 798 citations indexed

About

Djamel Dabli is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Djamel Dabli has authored 54 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Radiology, Nuclear Medicine and Imaging, 41 papers in Biomedical Engineering and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Djamel Dabli's work include Radiation Dose and Imaging (41 papers), Advanced X-ray and CT Imaging (40 papers) and Medical Imaging Techniques and Applications (26 papers). Djamel Dabli is often cited by papers focused on Radiation Dose and Imaging (41 papers), Advanced X-ray and CT Imaging (40 papers) and Medical Imaging Techniques and Applications (26 papers). Djamel Dabli collaborates with scholars based in France, Germany and Switzerland. Djamel Dabli's co-authors include Joël Greffier, Julien Frandon, Salim Si‐Mohamed, Jean-Paul Bérégi, Aymeric Hamard, Nicolas Villani, Jean Paul Beregi, Boris Guiu, Olivier Couturier and Laurent Vervueren and has published in prestigious journals such as Scientific Reports, Sensors and Medical Physics.

In The Last Decade

Djamel Dabli

50 papers receiving 793 citations

Hit Papers

align trajectories

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.

Spectral CT imaging: Technical principles of dual-energy CT and multi-energy photon-counting CT

2022 122 citations Joël Greffier, Djamel Dabli et al. Diagnostic and Interventional Imaging profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Djamel Dabli France	18	632	561	139	48	46	54	798
Sebastian Faby Germany	16	773 1.2×	759 1.4×	89 0.6×	60 1.3×	26 0.6×	48	908
Aymeric Hamard France	13	566 0.9×	499 0.9×	125 0.9×	56 1.2×	21 0.5×	26	683
Daniela Muenzel Germany	21	976 1.5×	894 1.6×	128 0.9×	88 1.8×	62 1.3×	36	1.2k
Hideaki Yuki Japan	15	580 0.9×	449 0.8×	98 0.7×	94 2.0×	16 0.3×	58	748
Daniella F. Pinho United States	14	590 0.9×	436 0.8×	260 1.9×	88 1.8×	19 0.4×	28	828
Peijie Lv China	12	446 0.7×	439 0.8×	45 0.3×	37 0.8×	14 0.3×	21	546
Jijo Paul Germany	14	283 0.4×	267 0.5×	83 0.6×	69 1.4×	60 1.3×	40	521
Benjamin Kaltenbach Germany	15	255 0.4×	246 0.4×	164 1.2×	89 1.9×	22 0.5×	35	642
Aamir Raja New Zealand	15	282 0.4×	279 0.5×	62 0.4×	35 0.7×	24 0.5×	32	472
Jianbo Gao China	11	349 0.6×	333 0.6×	57 0.4×	25 0.5×	9 0.2×	32	440

Countries citing papers authored by Djamel Dabli

Since Specialization

Citations

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

Fields of papers citing papers by Djamel Dabli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Djamel Dabli

This figure shows the co-authorship network connecting the top 25 collaborators of Djamel Dabli. A scholar is included among the top collaborators of Djamel Dabli 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 Djamel Dabli. Djamel Dabli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Greffier, Joël, et al.. (2025). Impact of a deep-learning image reconstruction algorithm on image quality and detection of solid lung lesions. PubMed. 14. 100062–100062. 1 indexed citations

Greffier, Joël, et al.. (2025). Fetal dose in pregnant CT patients: a comparison of four software packages. European Radiology. 35(10). 6258–6267.

Greffier, Joël, et al.. (2024). Comparison of low-energy virtual monoenergetic images between photon-counting CT and energy-integrating detectors CT: A phantom study. Diagnostic and Interventional Imaging. 105(9). 311–318. 10 indexed citations

Greffier, Joël, et al.. (2024). Abdominal image quality and dose reduction with energy-integrating or photon-counting detectors dual-source CT: A phantom study. Diagnostic and Interventional Imaging. 105(10). 379–385. 10 indexed citations

Greffier, Joël, et al.. (2024). Comparison of the spectral performance between two dual-source CT systems on low-energy virtual monoenergetic images: A phantom study. Physica Medica. 124. 103429–103429. 1 indexed citations

Dabli, Djamel, et al.. (2024). Image Quality Comparison of Three 3D Mobile X-Ray Imaging Guidance Devices Used in Spine Surgery: A Phantom Study. Sensors. 24(21). 6883–6883.

Greffier, Joël, et al.. (2024). Proposal for a computed tomography score to predict major complications requiring hospitalization after percutaneous lung biopsy: a single-center retrospective study. Quantitative Imaging in Medicine and Surgery. 14(9). 6830–6842.

Greffier, Joël, et al.. (2024). Potential dose reduction and image quality improvement in chest CT with a photon-counting CT compared to a new dual-source CT. Physica Medica. 127. 104844–104844. 2 indexed citations

Greffier, Joël, et al.. (2023). Impact of Phantom Size on Low-Energy Virtual Monoenergetic Images of Three Dual-Energy CT Platforms. Diagnostics. 13(19). 3039–3039. 5 indexed citations

10.

Greffier, Joël, et al.. (2023). First Results of a New Deep Learning Reconstruction Algorithm on Image Quality and Liver Metastasis Conspicuity for Abdominal Low-Dose CT. Diagnostics. 13(6). 1182–1182. 5 indexed citations

11.

Greffier, Joël, et al.. (2023). Determining the Optimal Energy Level of Virtual Monoenergetic Images in Dual-Source CT for Diagnosis of Bowel Obstruction and Colitis. Diagnostics. 13(23). 3491–3491. 2 indexed citations

12.

Greffier, Joël, et al.. (2023). Impact of tin filter on the image quality of ultra-low dose chest CT: A phantom study on three CT systems. Diagnostic and Interventional Imaging. 104(10). 506–512. 5 indexed citations

13.

Dabli, Djamel, et al.. (2023). Comparison of image quality of two versions of deep-learning image reconstruction algorithm on a rapid kV-switching CT: a phantom study. European Radiology Experimental. 7(1). 1–1. 10 indexed citations

14.

Greffier, Joël, et al.. (2022). Comparison of peak skin dose and dose map obtained with real-time software and radiochromic films in patients undergoing abdominopelvic embolization. Diagnostic and Interventional Imaging. 103(7-8). 338–344. 1 indexed citations

15.

Dabli, Djamel, et al.. (2021). Optimization of image quality and accuracy of low iodine concentration quantification as function of dose level and reconstruction algorithm for abdominal imaging using dual-source CT: A phantom study. Diagnostic and Interventional Imaging. 103(1). 31–40. 18 indexed citations

16.

Greffier, Joël, Julien Frandon, Hélène de Forges, et al.. (2021). Impact of additional mattresses in emergency CT on the automated patient centering proposed by a 3D camera: a phantom study. Scientific Reports. 11(1). 13191–13191. 10 indexed citations

17.

Greffier, Joël, et al.. (2021). Impact of dose reduction and the use of an advanced model-based iterative reconstruction algorithm on spectral performance of a dual-source CT system: A task-based image quality assessment. Diagnostic and Interventional Imaging. 102(7-8). 405–412. 28 indexed citations

18.

Greffier, Joël, Djamel Dabli, Hélène de Forges, et al.. (2021). Diagnostic performance of ultra-low dose versus standard dose CT for non-traumatic abdominal emergencies. Diagnostic and Interventional Imaging. 102(6). 379–387. 20 indexed citations

19.

Dabli, Djamel, et al.. (2021). Optimization of image quality and accuracy of low iodine concentration quantification as function of kVp pairs for abdominal imaging using dual-source CT: A phantom study. Physica Medica. 88. 285–292. 12 indexed citations

20.

Greffier, Joël, et al.. (2021). Effect of a new deep learning image reconstruction algorithm for abdominal computed tomography imaging on image quality and dose reduction compared with two iterative reconstruction algorithms: a phantom study. Quantitative Imaging in Medicine and Surgery. 12(1). 229–243. 26 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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