Abdulhamid Chaikh

447 total citations
44 papers, 339 citations indexed

About

Abdulhamid Chaikh is a scholar working on Radiation, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Abdulhamid Chaikh has authored 44 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Radiation, 30 papers in Pulmonary and Respiratory Medicine and 25 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Abdulhamid Chaikh's work include Advanced Radiotherapy Techniques (36 papers), Radiation Therapy and Dosimetry (28 papers) and Medical Imaging Techniques and Applications (11 papers). Abdulhamid Chaikh is often cited by papers focused on Advanced Radiotherapy Techniques (36 papers), Radiation Therapy and Dosimetry (28 papers) and Medical Imaging Techniques and Applications (11 papers). Abdulhamid Chaikh collaborates with scholars based in France, Belgium and Finland. Abdulhamid Chaikh's co-authors include Jacques Balosso, Jean-Yves Giraud, Juliette Thariat, Emmanuel Perrin, Jean‐Pierre Bresciani, Valentin Calugaru, Pierre‐Yves Bondiau, Thomas Tessonnier, Julien Geffrelot and Christelle Lévy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physics in Medicine and Biology and Radiotherapy and Oncology.

In The Last Decade

Abdulhamid Chaikh

44 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abdulhamid Chaikh France 9 225 210 170 33 24 44 339
P. Jalade France 11 222 1.0× 242 1.2× 129 0.8× 42 1.3× 7 0.3× 29 389
M. Chéa France 10 242 1.1× 237 1.1× 128 0.8× 54 1.6× 58 2.4× 20 364
L Rosen United States 11 229 1.0× 268 1.3× 115 0.7× 29 0.9× 13 0.5× 42 384
Sebastian Marschner Germany 9 72 0.3× 121 0.6× 179 1.1× 51 1.5× 20 0.8× 38 340
Sarah B. Scarboro United States 10 416 1.8× 345 1.6× 293 1.7× 52 1.6× 17 0.7× 13 496
Hideharu Miura Japan 11 305 1.4× 227 1.1× 209 1.2× 69 2.1× 19 0.8× 60 388
M Scarpelli United States 10 110 0.5× 219 1.0× 108 0.6× 31 0.9× 15 0.6× 29 350
Christina Vallhagen Dahlgren Sweden 10 226 1.0× 213 1.0× 148 0.9× 107 3.2× 18 0.8× 15 373
Stine Kramer Denmark 9 87 0.4× 207 1.0× 173 1.0× 47 1.4× 12 0.5× 19 429
Flemming Kjær-Kristoffersen Denmark 15 644 2.9× 527 2.5× 349 2.1× 100 3.0× 25 1.0× 26 817

Countries citing papers authored by Abdulhamid Chaikh

Since Specialization
Citations

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

Fields of papers citing papers by Abdulhamid Chaikh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdulhamid Chaikh

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

All Works

20 of 20 papers shown
1.
Chaikh, Abdulhamid, M. Edouard, C. Huet, et al.. (2024). Towards clinical application of ultra-high dose rate radiotherapy and the FLASH effect: Challenges and current status. Cancer/Radiothérapie. 28(5). 463–473. 4 indexed citations
2.
Chaikh, Abdulhamid, et al.. (2024). Modeling and dosimetric characterization of a 3D printed pregnant woman phantom for fetal dosimetry in radiotherapy. Radioprotection. 60(1). 50–56. 1 indexed citations
3.
Chaikh, Abdulhamid, Juliette Thariat, S. Thureau, et al.. (2020). Construction des modèles radiobiologiques de type TCP (tumor control probability) et NTCP (normal tissue complication probability) : de la dose à la prédiction des effets cliniques. Cancer/Radiothérapie. 24(3). 247–257. 6 indexed citations
4.
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Chaikh, Abdulhamid, Valentin Calugaru, Pierre‐Yves Bondiau, Juliette Thariat, & Jacques Balosso. (2018). Impact of the NTCP modeling on medical decision to select eligible patient for proton therapy: the usefulness of EUD as an indicator to rank modern photon vs proton treatment plans. International Journal of Radiation Biology. 94(9). 789–797. 11 indexed citations
6.
Lesueur, Paul, Valentin Calugaru, C. Nauraye, et al.. (2018). Proton therapy for treatment of intracranial benign tumors in adults: A systematic review. Cancer Treatment Reviews. 72. 56–64. 43 indexed citations
7.
Thariat, Juliette, Jean Louis Habrand, Paul Lesueur, et al.. (2018). Apports de la protonthérapie à la radiothérapie d’aujourd’hui, pourquoi, comment ?. Bulletin du Cancer. 105(3). 315–326. 4 indexed citations
8.
Chaikh, Abdulhamid & Jacques Balosso. (2017). Agreement between gamma passing rates using computed tomography in radiotherapy and secondary cancer risk prediction from more advanced dose calculated models. Quantitative Imaging in Medicine and Surgery. 7(3). 292–298. 2 indexed citations
9.
Chaikh, Abdulhamid & Jacques Balosso. (2017). The use of TCP based EUD to rank and compare lung radiotherapy plans: in-silico study to evaluate the correlation between TCP with physical quality indices. Translational Lung Cancer Research. 6(3). 366–372. 6 indexed citations
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Chaikh, Abdulhamid & Jacques Balosso. (2016). Correlation between pneumonitis risk in radiation oncology and lung density measured with X-ray computed tomography. Quantitative Imaging in Medicine and Surgery. 6(4). 413–417. 1 indexed citations
13.
Marlière, Stéphanie, et al.. (2016). Lésions cardiaques radio-induites chez la femme : mise au point. Annales de Cardiologie et d Angéiologie. 65(6). 411–419. 7 indexed citations
14.
Chaikh, Abdulhamid & Jacques Balosso. (2016). Statistic and dosimetric criteria to assess the shift of the prescribed dose for lung radiotherapy plans when integrating point kernel models in medical physics: are we ready?. Translational Lung Cancer Research. 5(6). 681–687. 3 indexed citations
15.
Chaikh, Abdulhamid & Jacques Balosso. (2016). Quantitative comparison of dose distribution in radiotherapy plans using 2D gamma maps and X-ray computed tomography. Quantitative Imaging in Medicine and Surgery. 6(3). 243–249. 3 indexed citations
16.
Chaikh, Abdulhamid & Jacques Balosso. (2016). Statistical control process to compare and rank treatment plans in radiation oncology: impact of heterogeneity correction on treatment planning in lung cancer. Translational Lung Cancer Research. 5(6). 688–694. 3 indexed citations
17.
Chaikh, Abdulhamid & Jacques Balosso. (2016). Assessing the shift of radiobiological metrics in lung radiotherapy plans using 2D gamma index. Translational Lung Cancer Research. 5(3). 265–271. 5 indexed citations
18.
Ismail, Anas, et al.. (2015). Preliminary testing of GaN-based dosimeters for electron beam radiotherapy. Radiation Protection Dosimetry. 165(1-4). 488–491. 2 indexed citations
19.
Chaikh, Abdulhamid, Jean-Yves Giraud, Emmanuel Perrin, Jean‐Pierre Bresciani, & Jacques Balosso. (2014). The choice of statistical methods for comparisons of dosimetric data in radiotherapy. Radiation Oncology. 9(1). 205–205. 40 indexed citations
20.
Wang, Ruoxi, et al.. (2013). Implementation and validation of a fluence pencil kernels model for GaN-based dosimetry in photon beam radiotherapy. Physics in Medicine and Biology. 58(19). 6701–6712. 5 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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