Georgios Kapsas

575 citations
7 papers · 141 indexed · h-index 4
Topics
Radiomics and Machine Learning in Medical Imaging (3 papers)Glioma Diagnosis and Treatment (2 papers)Myasthenia Gravis and Thymoma (1 paper)
Journals
SHILAP Revista de lepidopterologíaIEEE Transactions on Medical ImagingNeuro-Oncology
Partner nations
GreeceNetherlandsItaly

In The Last Decade

Georgios Kapsas

6 papers receiving 139 citations

Peers

Georgios Kapsas
Comparison fields: 5 of 35
  • Radiology, Nuclear Medicine and Imaging 107
  • Genetics 74
  • Neurology 49
  • Pulmonary and Respiratory Medicine 26
  • Biomedical Engineering 17
Replace Domenique M. J. Müller with:
Domenique M. J. Müller Netherlands
Chandan Ganesh Bangalore Yogananda United States
Matthew Grech‐Sollars United Kingdom
Jason Cheng United States
Ahmed E. Fetit United Kingdom
Frank Yu United States
Eugene Vaios United States
Reza Farjam United States
Roxana Améli France
Nicole Porz Switzerland
Georgios Kapsas relative to Domenique M. J. Müller Netherlands Domenique M. J. Müller's profile →
Citations per field
00.5×1.5×2.4×
Domenique M. J. Müller · 1×
Citations per year

Countries citing papers authored by Georgios Kapsas

Since Specialization
Citations

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

Fields of papers citing papers by Georgios Kapsas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georgios Kapsas

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 4
2 100
3 24
4 2
5 10
6 0
7 1

About Georgios Kapsas

Georgios Kapsas is a scholar working on Genetics, Modeling and Simulation and Radiology, Nuclear Medicine and Imaging, having authored 7 papers that have together received 141 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Glioma Diagnosis and Treatment (2 papers) and Myasthenia Gravis and Thymoma (1 paper). The work is most often cited by research in Genetics (74 citations), Health Informatics (9 citations) and Neurology (49 citations). Georgios Kapsas has collaborated with scholars based in Greece, Netherlands and Italy. Frequent co-authors include Fatih Incekara, Sebastian R. van der Voort, Renske Gahrmann, Maarten M.J. Wijnenga, Arnaud J.P.E. Vincent, Martin J. van den Bent, Hendrikus J. Dubbink, Joost W. Schouten, Stefan Klein and Pim J. French. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Medical Imaging and Neuro-Oncology.

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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