Georgios Kalarakis

447 total citations
13 papers, 111 citations indexed

About

Georgios Kalarakis is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Georgios Kalarakis has authored 13 papers receiving a total of 111 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Pulmonary and Respiratory Medicine and 4 papers in Biomedical Engineering. Recurrent topics in Georgios Kalarakis's work include MRI in cancer diagnosis (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Renal cell carcinoma treatment (4 papers). Georgios Kalarakis is often cited by papers focused on MRI in cancer diagnosis (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Renal cell carcinoma treatment (4 papers). Georgios Kalarakis collaborates with scholars based in Greece, Sweden and United Kingdom. Georgios Kalarakis's co-authors include Adam Hatzidakis, Vasileios Rafailidis, Panos Prassopoulos, Antonios Tzortzakakis, Apostolos H. Karantanas, Michail E. Klontzas, Kostas Perisinakis, Thomas Papathomas, Aristotelis Kechagias and Kiril Trpkov and has published in prestigious journals such as Scientific Reports, European Radiology and Cancers.

In The Last Decade

Georgios Kalarakis

11 papers receiving 110 citations

Peers

Georgios Kalarakis
Junhong Duan China
Mengsu Zeng China
Jules J.G. Slangen Netherlands
Huafei Zhao China
Emmanuel Salinas-Miranda Canada
David Nadebaum Australia
J. Lonjon France
Silvia Rosellini France
Diğdem Kuru Öz Türkiye
Danielle Power United Kingdom
Junhong Duan China
Georgios Kalarakis
Citations per year, relative to Georgios Kalarakis Georgios Kalarakis (= 1×) peers Junhong Duan

Countries citing papers authored by Georgios Kalarakis

Since Specialization
Citations

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

Fields of papers citing papers by Georgios Kalarakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georgios Kalarakis

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

All Works

13 of 13 papers shown
1.
Kalarakis, Georgios, et al.. (2025). CT perfusion and MRI: A combined approach for hepatocellular carcinoma diagnosis and follow-up after locoregional treatment. European Journal of Radiology. 183. 111928–111928.
2.
Ψαλτοπούλου, Θεοδώρα, Georgios Kalarakis, Panagiotis Theodossiadis, et al.. (2025). Risk Factors and Cumulative Incidence of Cystoid Macular Edema After Simple Cataract Surgery: A Systematic Review and Meta-Analysis. Cureus. 17(5). e84212–e84212.
3.
4.
Klontzas, Michail E., Motonari Ri, Georgios Kalarakis, et al.. (2024). Prediction of Anastomotic Leakage in Esophageal Cancer Surgery: A Multimodal Machine Learning Model Integrating Imaging and Clinical Data. Academic Radiology. 31(12). 4878–4885. 4 indexed citations
5.
Cavallo, Armando Ugo, Arnaldo Stanzione, Andrea Ponsiglione, et al.. (2024). Prostate cancer MRI methodological radiomics score: a EuSoMII radiomics auditing group initiative. European Radiology. 35(3). 1157–1165. 3 indexed citations
6.
Klontzas, Michail E., Georgios Kalarakis, Kiril Trpkov, et al.. (2023). Machine Learning Integrating 99mTc Sestamibi SPECT/CT and Radiomics Data Achieves Optimal Characterization of Renal Oncocytic Tumors. Cancers. 15(14). 3553–3553. 9 indexed citations
7.
Klontzas, Michail E., et al.. (2023). Radiomics Analysis for Multiple Myeloma: A Systematic Review with Radiomics Quality Scoring. Diagnostics. 13(12). 2021–2021. 5 indexed citations
8.
Klontzas, Michail E., Georgios Kalarakis, Kiril Trpkov, et al.. (2023). A pilot radiometabolomics integration study for the characterization of renal oncocytic neoplasia. Scientific Reports. 13(1). 12594–12594. 10 indexed citations
9.
10.
Rafailidis, Vasileios, et al.. (2022). Current Imaging Diagnosis of Hepatocellular Carcinoma. Cancers. 14(16). 3997–3997. 47 indexed citations
11.
Kalarakis, Georgios, et al.. (2020). CT liver perfusion in patients with hepatocellular carcinoma: can we modify acquisition protocol to reduce patient exposure?. European Radiology. 31(3). 1410–1419. 5 indexed citations
12.
Kalarakis, Georgios, et al.. (2020). Combining contrast-enhanced ultrasound, CT perfusion and 99mTc-Sestamibi SPECT/CT to guide diagnosis in a case of solid renal tumour. BJR|case reports. 7(1). 20200115–20200115. 1 indexed citations
13.
Hatzidakis, Adam, Kostas Perisinakis, Georgios Kalarakis, et al.. (2018). Perfusion-CT analysis for assessment of hepatocellular carcinoma lesions: diagnostic value of different perfusion maps. Acta Radiologica. 60(5). 561–568. 12 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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