Kostas Marias

6.5k total citations · 2 hit papers
265 papers, 3.6k citations indexed

About

Kostas Marias is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Kostas Marias has authored 265 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Radiology, Nuclear Medicine and Imaging, 48 papers in Computer Vision and Pattern Recognition and 47 papers in Artificial Intelligence. Recurrent topics in Kostas Marias's work include Radiomics and Machine Learning in Medical Imaging (59 papers), MRI in cancer diagnosis (42 papers) and AI in cancer detection (33 papers). Kostas Marias is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (59 papers), MRI in cancer diagnosis (42 papers) and AI in cancer detection (33 papers). Kostas Marias collaborates with scholars based in Greece, United Kingdom and Italy. Kostas Marias's co-authors include Manolis Tsiknakis, Giorgos Giannakakis, Georgios C. Manikis, Panagiotis G. Simos, Apostolos H. Karantanas, Lefteris Koumakis, Matthew Pediaditis, Vangelis Sakkalis, Dimitris Manousos and Haridimos Kondylakis and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Kostas Marias

244 papers receiving 3.5k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Review of Eye Tracking Metrics Involved in Emotional and Cognitive Processes

2021 196 citations Nikolaos S. Tachos, Kostas Marias et al. profile →
Deep learning for diabetic retinopathy detection and classification based on fundus images: A review

2021 176 citations Nikos Tsiknakis, Georgios C. Manikis et al. Computers in Biology and Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kostas Marias Greece	29	1.1k	633	552	489	421	265	3.6k
Begonya García-Zapirain Spain	41	1.0k 0.9×	1.9k 3.0×	238 0.4×	794 1.6×	1.1k 2.5×	250	6.7k
Michael A. Riegler Norway	30	1.0k 0.9×	1.4k 2.1×	292 0.5×	1.4k 2.9×	263 0.6×	233	4.4k
Lin Shi China	39	1.2k 1.1×	407 0.6×	108 0.2×	655 1.3×	807 1.9×	361	6.3k
Dimitrios I. Fotiadis Greece	32	560 0.5×	747 1.2×	292 0.5×	325 0.7×	742 1.8×	269	4.2k
Manolis Tsiknakis Greece	30	229 0.2×	683 1.1×	826 1.5×	654 1.3×	617 1.5×	240	4.0k
Anna Goldenberg Canada	32	431 0.4×	1.1k 1.7×	124 0.2×	195 0.4×	168 0.4×	128	5.9k
M. Stella Atkins Canada	28	646 0.6×	536 0.8×	332 0.6×	1.1k 2.2×	406 1.0×	135	3.3k
Ivo D. Dinov United States	46	1.8k 1.6×	589 0.9×	202 0.4×	902 1.8×	269 0.6×	197	7.2k
Prabal Datta Barua Australia	33	723 0.7×	1.1k 1.7×	350 0.6×	457 0.9×	407 1.0×	167	3.9k
Francisco del Pozo Spain	36	382 0.4×	271 0.4×	262 0.5×	467 1.0×	323 0.8×	164	4.8k

Countries citing papers authored by Kostas Marias

Since Specialization

Citations

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

Fields of papers citing papers by Kostas Marias

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kostas Marias

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

Ioannidis, Georgios, et al.. (2025). Radiomics vs. Deep Learning in Autism Classification Using Brain MRI: A Systematic Review. Applied Sciences. 15(19). 10551–10551.

Pezoulas, Vasileios C., Eugenia Mylona, Nikolaos S. Tachos, et al.. (2025). Simplatab: An Automated Machine Learning Framework for Radiomics-Based Bi-Parametric MRI Detection of Clinically Significant Prostate Cancer. Bioengineering. 12(3). 242–242. 1 indexed citations

Marias, Kostas, et al.. (2025). Rethinking Privacy in Medical Imaging AI: From Metadata and Pixel-Level Identification Risks to Federated Learning and Synthetic Data Challenges. Radiology Artificial Intelligence. 8(1). e250273–e250273.

Karabetsos, Dimitris, et al.. (2024). The current status of noninvasive intracranial pressure monitoring: A literature review. Clinical Neurology and Neurosurgery. 239. 108209–108209. 4 indexed citations

Tsiknakis, Nikos, Georgios C. Manikis, Kang Wang, et al.. (2024). Unveiling the Power of Model-Agnostic Multiscale Analysis for Enhancing Artificial Intelligence Models in Breast Cancer Histopathology Images. IEEE Journal of Biomedical and Health Informatics. 28(9). 5312–5322. 3 indexed citations

Ioannidis, Georgios, et al.. (2023). Investigating the value of radiomics stemming from DSC quantitative biomarkers in IDH mutation prediction in gliomas. Frontiers in Neurology. 14. 1249452–1249452. 2 indexed citations

Nikiforaki, Katerina & Kostas Marias. (2023). MRI Methods to Visualize and Quantify Adipose Tissue in Health and Disease. Biomedicines. 11(12). 3179–3179. 2 indexed citations

Pentari, Anastasia, George Tzagkarakis, Kostas Marias, & Panagiotis Tsakalides. (2022). Graph denoising of impulsive EEG signals and the effect of their graph representation. Biomedical Signal Processing and Control. 78. 103886–103886. 2 indexed citations

Kontopodis, Nikolaos, Michail E. Klontzas, Konstantinos Tzirakis, et al.. (2022). Prediction of abdominal aortic aneurysm growth by artificial intelligence taking into account clinical, biologic, morphologic, and biomechanical variables. Vascular. 31(3). 409–416. 18 indexed citations

10.

Κούρου, Κωνσταντίνα, Georgios C. Manikis, Paula Poikonen‐Saksela, et al.. (2021). A machine learning-based pipeline for modeling medical, socio-demographic, lifestyle and self-reported psychological traits as predictors of mental health outcomes after breast cancer diagnosis: An initial effort to define resilience effects. Computers in Biology and Medicine. 131. 104266–104266. 30 indexed citations

11.

Manikis, Georgios C., Katerina Nikiforaki, Eleni Lagoudaki, et al.. (2021). Differentiating low from high-grade soft tissue sarcomas using post-processed imaging parameters derived from multiple DWI models. European Journal of Radiology. 138. 109660–109660. 8 indexed citations

12.

Klontzas, Michail E., Georgios Z. Papadakis, Kostas Marias, & Apostolos H. Karantanas. (2020). Musculoskeletal trauma imaging in the era of novel molecular methods and artificial intelligence. Injury. 51(12). 2748–2756. 8 indexed citations

13.

Kondylakis, Haridimos, Dhundy Bastola, Dimitrios G. Katehakis, et al.. (2020). Status and Recommendations of Technological and Data-Driven Innovations in Cancer Care: Focus Group Study. Journal of Medical Internet Research. 22(12). e22034–e22034. 12 indexed citations

14.

Papadaki, Efrosini, et al.. (2019). Optimising T2 relaxation measurements on MS patients utilising a multi-component tissue mimicking phantom and different fitting algorithms in T2 calculations. 4(2). 3 indexed citations

15.

Manikis, Georgios C., Katerina Nikiforaki, Eleni Lagoudaki, et al.. (2019). T2-based MRI radiomic features for discriminating tumour grading in soft tissues sarcomas. 4(3). 2 indexed citations

16.

Kondylakis, Haridimos, Lefteris Koumakis, Manolis Tsiknakis, Kostas Marias, & Stephan Kiefer. (2016). Big Data in Support of the Digital Cancer Patient.. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 2016. 2 indexed citations

17.

Kondylakis, Haridimos, Lefteris Koumakis, Stefan Rüping, et al.. (2014). PMIR: A Personal Medical Information Recommender.. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1193. 3 indexed citations

18.

Manikis, Georgios C., Vangelis Sakkalis, Xenophon Zabulis, et al.. (2011). An image analysis framework for the early assessment of hypertensive retinopathy signs. 1–6. 35 indexed citations

19.

Marias, Kostas, et al.. (2010). Modelling the Growth of a Malignant Brain Tumour.. ERCIM news/ERCIM news online edition. 2010.

20.

Marias, Kostas, et al.. (2010). Diffusive modelling of glioma evolution: a review. Journal of Biomedical Science and Engineering. 3(5). 501–508. 17 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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