Kostas Marias

6.5k citations
265 papers · 3.6k indexed · 2 hit papers · h-index 29
Topics
Radiomics and Machine Learning in Medical Imaging (59 papers)MRI in cancer diagnosis (42 papers)AI in cancer detection (33 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports

In The Last Decade

Kostas Marias

244 papers receiving 3.5k citations

Hit Papers

Review of Eye Tracking Metrics Involved in Emotional and ...20212026202220242021202150100150

Peers

Kostas Marias
Comparison fields: 5 of 182
  • Radiology, Nuclear Medicine and Imaging 1.1k
  • Artificial Intelligence 633
  • Experimental and Cognitive Psychology 552
  • Computer Vision and Pattern Recognition 489
  • Biomedical Engineering 421
Replace Begonya García-Zapirain with:
Begonya García-Zapirain Spain
Manolis Tsiknakis Greece
Jeffrey E. Olgin United States
Jinman Kim Australia
Jessilyn Dunn United States
Feng Shi China
Konstantina S. Nikita Greece
Afshin Shoeibi Iran
Edward J. Ciaccio United States
Euan A. Ashley United States
Kostas Marias relative to Begonya García-Zapirain Spain Begonya García-Zapirain's profile →
Citations per field
00.5×1.5×2.3×
Begonya García-Zapirain · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 1
5 0
6 4
7 4
8 7
9 2
10 1
11 15
12 10
13 8
14 18
15 28
16 8
17 11
18 66
19
Big Data in Support of the Digital Cancer Patient.
2
20 17

About Kostas Marias

Kostas Marias is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Modeling and Simulation, having authored 265 papers that have together received 3.6k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (59 papers), MRI in cancer diagnosis (42 papers) and AI in cancer detection (33 papers). The work is most often cited by research in Health Informatics (130 citations), Radiology, Nuclear Medicine and Imaging (1.1k citations) and Health Information Management (216 citations). Kostas Marias has collaborated with scholars based in Greece, United Kingdom and Italy. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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