M. Carles

896 total citations
43 papers, 621 citations indexed

About

M. Carles is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Biomedical Engineering. According to data from OpenAlex, M. Carles has authored 43 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Radiation and 7 papers in Biomedical Engineering. Recurrent topics in M. Carles's work include Medical Imaging Techniques and Applications (28 papers), Radiomics and Machine Learning in Medical Imaging (18 papers) and Radiation Detection and Scintillator Technologies (8 papers). M. Carles is often cited by papers focused on Medical Imaging Techniques and Applications (28 papers), Radiomics and Machine Learning in Medical Imaging (18 papers) and Radiation Detection and Scintillator Technologies (8 papers). M. Carles collaborates with scholars based in Germany, Spain and France. M. Carles's co-authors include Michael Mix, Dimos Baltas, J. Benlloch, Anca-Ligia Grosu, F. Sánchez, A. Orero, L. Moliner, Antonio J. González, Antonio Soriano and Luis Martí‐Bonmatí and has published in prestigious journals such as Clinical Infectious Diseases, Physics in Medicine and Biology and Medical Physics.

In The Last Decade

M. Carles

41 papers receiving 613 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Carles Germany 13 450 194 138 117 57 43 621
Gustavo Souza Portes Meirelles United States 10 350 0.8× 256 1.3× 116 0.8× 66 0.6× 47 0.8× 19 510
Thomas M. Conlon Germany 20 108 0.2× 164 0.8× 139 1.0× 108 0.9× 85 1.5× 38 958
David O. Findley United States 14 260 0.6× 361 1.9× 469 3.4× 124 1.1× 47 0.8× 34 753
Ulla Ramm Germany 12 238 0.5× 306 1.6× 374 2.7× 57 0.5× 32 0.6× 42 532
Philipp Steininger Germany 16 167 0.4× 161 0.8× 200 1.4× 133 1.1× 70 1.2× 55 666
J.M. Woolfenden United States 17 352 0.8× 86 0.4× 364 2.6× 290 2.5× 49 0.9× 45 792
Xiaomin Zheng China 13 245 0.5× 129 0.7× 104 0.8× 57 0.5× 36 0.6× 27 417
William R. Masch United States 14 203 0.5× 122 0.6× 27 0.2× 29 0.2× 106 1.9× 29 515
Birgit Spors Germany 9 216 0.5× 142 0.7× 58 0.4× 56 0.5× 130 2.3× 12 551
Victoria Chang United States 12 325 0.7× 41 0.2× 34 0.2× 66 0.6× 32 0.6× 22 613

Countries citing papers authored by M. Carles

Since Specialization
Citations

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

Fields of papers citing papers by M. Carles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Carles

This figure shows the co-authorship network connecting the top 25 collaborators of M. Carles. A scholar is included among the top collaborators of M. Carles 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. Carles. M. Carles 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.
Sachpazidis, Ilias, Michael Mix, M. Carles, et al.. (2024). Implications of the partial volume effect correction on the spatial quantification of hypoxia based on [18F]FMISO PET/CT data. Physica Medica. 128. 104853–104853. 1 indexed citations
2.
Mix, Michael, Ilias Sachpazidis, M. Carles, et al.. (2024). The significance of partial volume effect on the estimation of hypoxic tumour volume with [18F]FMISO PET/CT. EJNMMI Physics. 11(1). 43–43. 3 indexed citations
3.
4.
Carles, M., Tobias Fechter, Dimos Baltas, et al.. (2024). Development and evaluation of two open-source nnU-Net models for automatic segmentation of lung tumors on PET and CT images with and without respiratory motion compensation. European Radiology. 34(10). 6701–6711. 4 indexed citations
5.
6.
Mix, Michael, I. Torres-Espallardó, Pilar Belló, et al.. (2022). Comparison of protocols with respiratory-gated (4D) motion compensation in PET/CT: open-source package for quantification of phantom image quality. EJNMMI Physics. 9(1). 80–80. 1 indexed citations
7.
Carles, M., Tobias Fechter, Anca - Ligia Grosu, et al.. (2021). 18F-FMISO-PET Hypoxia Monitoring for Head-and-Neck Cancer Patients: Radiomics Analyses Predict the Outcome of Chemo-Radiotherapy. Cancers. 13(14). 3449–3449. 26 indexed citations
8.
Carles, M., Tobias Fechter, Tanja Schimek‐Jasch, et al.. (2021). FDG-PET Radiomics for Response Monitoring in Non-Small-Cell Lung Cancer Treated with Radiation Therapy. Cancers. 13(4). 814–814. 25 indexed citations
9.
Carles, M., Ilinca Popp, Michael Mix, et al.. (2021). FET-PET radiomics in recurrent glioblastoma: prognostic value for outcome after re-irradiation?. Radiation Oncology. 16(1). 46–46. 28 indexed citations
10.
Carles, M., Tobias Fechter, Luis Martí‐Bonmatí, Dimos Baltas, & Michael Mix. (2021). Experimental phantom evaluation to identify robust positron emission tomography (PET) radiomic features. EJNMMI Physics. 8(1). 46–46. 12 indexed citations
11.
Gkika, Eleni, Matthias Benndorf, Sonja Adebahr, et al.. (2020). Immunohistochemistry and Radiomic Features for Survival Prediction in Small Cell Lung Cancer. Frontiers in Oncology. 10. 1161–1161. 18 indexed citations
12.
Carles, M., et al.. (2018). Significance of the impact of motion compensation on the variability of PET image features. Physics in Medicine and Biology. 63(6). 65013–65013. 18 indexed citations
13.
Fechter, Tobias, José Dolz, Alin Chirindel, et al.. (2015). Fully Automatic Danger Zone Determination for SBRT in NSCLC. Journal of Radiation Oncology. 7(1). 1–27. 1 indexed citations
14.
Carles, M., et al.. (2015). Feasibility of a semi-automated contrast-oriented algorithm for tumor segmentation in retrospectively gated PET images: phantom and clinical validation. Physics in Medicine and Biology. 60(24). 9227–9251. 9 indexed citations
15.
Roger, Pierre‐Marie, Éric Cua, Johan Courjon, et al.. (2014). The impact of bacteremia on the outcome of bone infections. Médecine et Maladies Infectieuses. 44(8). 380–386. 12 indexed citations
16.
Moliner, L., Antonio J. González, Antonio Soriano, et al.. (2012). Design and evaluation of the MAMMI dedicated breast PET. Medical Physics. 39(9). 5393–5404. 95 indexed citations
17.
Sánchez, F., L. Moliner, Carlos Correcher, et al.. (2012). Small animal PET scanner based on monolithic LYSO crystals: Performance evaluation. Medical Physics. 39(2). 643–653. 47 indexed citations
18.
Blay, Mayte, et al.. (2011). Anesthésie du patient infecté par le VIH. Annales Françaises d Anesthésie et de Réanimation. 30(6). 501–511. 1 indexed citations
19.
Brassart, Nicolas, Christophe Trojani, M. Carles, & Pascal Boileau. (2006). 57 Facteurs prédictifs de la cicatrisation tendineuse de la coiffe des rotateurs de l’épaule après réparation sous arthroscopie. Revue de Chirurgie Orthopédique et Réparatrice de l Appareil Moteur. 92(8). 79–80. 2 indexed citations
20.
Hofman, Paul, et al.. (1995). Atypical Leishmaniasis in a Patient Infected with Human Immunodeficiency Virus. Clinical Infectious Diseases. 21(3). 663–665. 38 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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