Alexander Ciritsis

685 total citations
38 papers, 496 citations indexed

About

Alexander Ciritsis is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Alexander Ciritsis has authored 38 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Artificial Intelligence and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Alexander Ciritsis's work include Radiomics and Machine Learning in Medical Imaging (18 papers), MRI in cancer diagnosis (15 papers) and AI in cancer detection (12 papers). Alexander Ciritsis is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (18 papers), MRI in cancer diagnosis (15 papers) and AI in cancer detection (12 papers). Alexander Ciritsis collaborates with scholars based in Switzerland, Germany and United States. Alexander Ciritsis's co-authors include Andreas Boss, Cristina Rossi, Magda Marcon, Anton S. Becker, Matthias Eberhard, Christiane Kühl, Nils A. Kraemer, Nicole Berger, Nienke L. Hansen and Alexandra Barabasch and has published in prestigious journals such as PLoS ONE, Magnetic Resonance in Medicine and Medicine.

In The Last Decade

Alexander Ciritsis

38 papers receiving 491 citations

Peers

Alexander Ciritsis

RNMI

PRM

SURGE

HEPAT

Xiao-wen Huang China

Khashayar Namdar Canada

Dooman Arefan United States

Benjamin Hunter United Kingdom

Su Yeon Ko South Korea

Simon Keek Netherlands

Yongping Lu China

Junming Jian China

Bruno Boyer France

Liping Yin China

Xiao-wen Huang China

Alexander Ciritsis

376 ×1.2

RNMI

108 ×0.6

75 ×0.7

PRM

80 ×0.9

SURGE

181 ×3.2

HEPAT

Citations per year, relative to Alexander Ciritsis Alexander Ciritsis (= 1×) peers Xiao-wen Huang

Countries citing papers authored by Alexander Ciritsis

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Ciritsis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Ciritsis

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Ciritsis. A scholar is included among the top collaborators of Alexander Ciritsis 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 Alexander Ciritsis. Alexander Ciritsis 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

Rossi, Cristina, et al.. (2024). Automatic Detection of Post-Operative Clips in Mammography Using a U-Net Convolutional Neural Network. Journal of Imaging. 10(6). 147–147. 1 indexed citations

Nowakowska, Sylwia, Alexander Ciritsis, Magda Marcon, et al.. (2024). Explainable Precision Medicine in Breast MRI: A Combined Radiomics and Deep Learning Approach for the Classification of Contrast Agent Uptake. Bioengineering. 11(6). 556–556. 1 indexed citations

Nowakowska, Sylwia, Magda Marcon, Nicole Berger, et al.. (2023). Generalizable attention U-Net for segmentation of fibroglandular tissue and background parenchymal enhancement in breast DCE-MRI. Insights into Imaging. 14(1). 185–185. 4 indexed citations

Nowakowska, Sylwia, et al.. (2022). Systematic analysis of changes in radiomics features during dynamic breast-MRI: Evaluation of specific biomarkers. Clinical Imaging. 93. 93–102. 4 indexed citations

Çavuşoğlu, Mustafa, Shila Pazahr, Alexander Ciritsis, & Cristina Rossi. (2022). Quantitative ²³Na‐MRI of the intervertebral disk at 3 T. NMR in Biomedicine. 35(8). e4733–e4733. 6 indexed citations

Ciritsis, Alexander, et al.. (2022). Detection of microcalcifications in photon-counting dedicated breast-CT using a deep convolutional neural network: Proof of principle. Clinical Imaging. 95. 28–36. 4 indexed citations

Marcon, Magda, et al.. (2022). Fully automatic classification of automated breast ultrasound (ABUS) imaging according to BI-RADS using a deep convolutional neural network. European Radiology. 32(7). 4868–4878. 26 indexed citations

Ciritsis, Alexander, et al.. (2022). Radiomics in photon-counting dedicated breast CT: potential of texture analysis for breast density classification. European Radiology Experimental. 6(1). 30–30. 4 indexed citations

Choschzick, Matthias, et al.. (2021). Deep learning for the standardized classification of Ki-67 in vulva carcinoma: A feasibility study. Heliyon. 7(7). e07577–e07577. 6 indexed citations

10.

Ciritsis, Alexander, et al.. (2020). Classification of Mammographic Breast Microcalcifications Using a Deep Convolutional Neural Network. Investigative Radiology. 56(4). 224–231. 17 indexed citations

11.

Schawkat, Khoschy, Alexander Ciritsis, Hanna Honcharova‐Biletska, et al.. (2020). Diagnostic accuracy of texture analysis and machine learning for quantification of liver fibrosis in MRI: correlation with MR elastography and histopathology. European Radiology. 30(8). 4675–4685. 47 indexed citations

12.

Rossi, Cristina, Alexander Ciritsis, Magda Marcon, et al.. (2020). Fully automatic classification of breast MRI background parenchymal enhancement using a transfer learning approach. Medicine. 99(29). e21243–e21243. 19 indexed citations

13.

Marcon, Magda, Alexander Ciritsis, Cristina Rossi, et al.. (2019). Diagnostic performance of machine learning applied to texture analysis-derived features for breast lesion characterisation at automated breast ultrasound: a pilot study. European Radiology Experimental. 3(1). 44–44. 11 indexed citations

14.

Stieb, Sonja, Tim Finkenstaedt, Moritz C. Wurnig, et al.. (2019). Correction for fast pseudo-diffusive fluid motion contaminations in diffusion tensor imaging. Magnetic Resonance Imaging. 66. 50–56. 1 indexed citations

15.

Ciritsis, Alexander, Cristina Rossi, Matthias Eberhard, et al.. (2019). Automatic classification of ultrasound breast lesions using a deep convolutional neural network mimicking human decision-making. European Radiology. 29(10). 5458–5468. 92 indexed citations

16.

Ciritsis, Alexander, et al.. (2018). Accelerated diffusion-weighted imaging for lymph node assessment in the pelvis applying simultaneous multislice acquisition. Medicine. 97(32). e11745–e11745. 13 indexed citations

17.

Ciritsis, Alexander, et al.. (2017). Intravoxel Incoherent Motion. Investigative Radiology. 52(12). 747–757. 5 indexed citations

18.

Barabasch, Alexandra, Nils A. Kraemer, Alexander Ciritsis, et al.. (2015). Diagnostic Accuracy of Diffusion-Weighted Magnetic Resonance Imaging Versus Positron Emission Tomography/Computed Tomography for Early Response Assessment of Liver Metastases to Y90-Radioembolization. Investigative Radiology. 50(6). 409–415. 28 indexed citations

19.

Otto, Jens, Daniel A. Busch, Christian Klink, et al.. (2014). In vivo MRI visualization of parastomal mesh in a porcine model. Hernia. 18(5). 663–670. 4 indexed citations

20.

Ciritsis, Alexander, Nienke L. Hansen, Alexandra Barabasch, et al.. (2014). Time-Dependent Changes of Magnetic Resonance Imaging–Visible Mesh Implants in Patients. Investigative Radiology. 49(7). 439–444. 23 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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