M Jermoumi

863 total citations · 1 hit paper
9 papers, 668 citations indexed

About

M Jermoumi is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, M Jermoumi has authored 9 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiation, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in M Jermoumi's work include Advanced Radiotherapy Techniques (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Advanced X-ray and CT Imaging (3 papers). M Jermoumi is often cited by papers focused on Advanced Radiotherapy Techniques (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Advanced X-ray and CT Imaging (3 papers). M Jermoumi collaborates with scholars based in United States, Netherlands and India. M Jermoumi's co-authors include Chintan Parmar, Hugo J.W.L. Aerts, Emmanuel Rios Velazquez, Philippe Lambin, Raymond H. Mak, Ralph T. H. Leijenaar, B. Uma Shankar, Sara Carvalho, Benjamin Haibe‐Kains and Sushmita Mitra and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

M Jermoumi

9 papers receiving 660 citations

Hit Papers

Robust Radiomics Feature Quantification Using Semiautomat... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M Jermoumi United States 4 586 241 228 115 99 9 668
Mahmoud A. Abdalah United States 9 627 1.1× 258 1.1× 226 1.0× 78 0.7× 185 1.9× 19 733
Qingtao Qiu China 16 495 0.8× 273 1.1× 118 0.5× 59 0.5× 134 1.4× 51 614
Mattea Welch Canada 12 691 1.2× 269 1.1× 279 1.2× 126 1.1× 98 1.0× 28 854
Mi Huang United States 10 403 0.7× 195 0.8× 119 0.5× 61 0.5× 84 0.8× 10 505
R. Berenguer Spain 10 470 0.8× 197 0.8× 208 0.9× 68 0.6× 88 0.9× 20 632
N. Albarghach France 4 806 1.4× 285 1.2× 144 0.6× 57 0.5× 132 1.3× 5 890
Nader Khaouam Canada 8 434 0.7× 241 1.0× 131 0.6× 81 0.7× 108 1.1× 10 697
Elisabeth Pfaehler Netherlands 15 649 1.1× 252 1.0× 186 0.8× 67 0.6× 105 1.1× 31 721
Chen Luo China 13 471 0.8× 230 1.0× 191 0.8× 45 0.4× 89 0.9× 27 571
Wenbing Lv China 15 874 1.5× 424 1.8× 250 1.1× 126 1.1× 183 1.8× 44 1.0k

Countries citing papers authored by M Jermoumi

Since Specialization
Citations

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

Fields of papers citing papers by M Jermoumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Jermoumi

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

All Works

9 of 9 papers shown
1.
Jermoumi, M, et al.. (2018). Planning Target Volume Determination of Internal Mammary Nodes in Breast Cancer using 4DCT. International Journal of Radiation Oncology*Biology*Physics. 102(3). e544–e545. 1 indexed citations
2.
Jermoumi, M, et al.. (2017). Does gated beam delivery impact delivery accuracy on an Elekta linac?. Journal of Applied Clinical Medical Physics. 18(1). 90–95. 5 indexed citations
3.
Jermoumi, M, Dongyan Cao, Vivek Mehta, & David Shepard. (2016). Three-Dimensional Surface-Guided Radiation Therapy in the Evaluation of Intrafraction Motion for Breast and Lung. International Journal of Radiation Oncology*Biology*Physics. 96(2). E696–E696. 1 indexed citations
4.
Jermoumi, M, et al.. (2016). SU‐G‐JeP4‐07: Evaluation of Intrafraction Motion Using 3D Surface Guided Radiation Therapy in Lung SBRT. Medical Physics. 43(6Part28). 3682–3683. 1 indexed citations
5.
Jermoumi, M, et al.. (2015). Comprehensive quality assurance phantom for the small animal radiation research platform (SARRP). Physica Medica. 31(5). 529–535. 21 indexed citations
6.
Jermoumi, M, et al.. (2015). A Software App for Radiotherapy with In-situ Dose-painting using high Z nanoparticles. PubMed. 51. 618–621. 1 indexed citations
7.
Parmar, Chintan, Emmanuel Rios Velazquez, Ralph T. H. Leijenaar, et al.. (2014). Robust Radiomics Feature Quantification Using Semiautomatic Volumetric Segmentation. PLoS ONE. 9(7). e102107–e102107. 468 indexed citations breakdown →
8.
Parmar, Chintan, et al.. (2014). TU‐A‐12A‐10: Robust Radiomics Feature Quantification Using Semiautomatic Volumetric Segmentation. Medical Physics. 41(6Part26). 452–452. 2 indexed citations
9.
Velazquez, Emmanuel Rios, Chintan Parmar, M Jermoumi, et al.. (2013). Volumetric CT-based segmentation of NSCLC using 3D-Slicer. Scientific Reports. 3(1). 3529–3529. 168 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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