Dionisis Cavouras

688 total citations
37 papers, 500 citations indexed

About

Dionisis Cavouras is a scholar working on Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health and Artificial Intelligence. According to data from OpenAlex, Dionisis Cavouras has authored 37 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pulmonary and Respiratory Medicine, 9 papers in Pediatrics, Perinatology and Child Health and 9 papers in Artificial Intelligence. Recurrent topics in Dionisis Cavouras's work include AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Pediatric Urology and Nephrology Studies (5 papers). Dionisis Cavouras is often cited by papers focused on AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Pediatric Urology and Nephrology Studies (5 papers). Dionisis Cavouras collaborates with scholars based in Greece, United States and United Kingdom. Dionisis Cavouras's co-authors include Panos Prassopoulos, N. Gourtsoyiannis, Dimitris Glotsos, Panagiota Ravazoula, George Nikiforidis, Ioannis Kalatzis, Jussi Tohka, Michael Mavroforakis, Harris Georgiou and Sergios Theodoridis and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Urology and American Journal of Roentgenology.

In The Last Decade

Dionisis Cavouras

35 papers receiving 484 citations

Peers

Dionisis Cavouras
Comparison fields: 5 of 96
  • Pediatrics, Perinatology and Child Health 127
  • Pulmonary and Respiratory Medicine 117
  • Surgery 95
  • Radiology, Nuclear Medicine and Imaging 94
  • Artificial Intelligence 86
Replace Pavlos Vassilakos with:
Pavlos Vassilakos Greece
Jason Au Canada
Marie E. Edwards United States
Jay Acharya United States
Guorong Lv China
Andreas Rieger Germany
Toru Fujita Japan
Xiaowei Liu China
Jerzy Rudnicki Poland
Pavlos Vassilakos Greece View profile →
Citations per field, relative to Dionisis Cavouras
Dionisis Cavouras · 1×
Citations per year, relative to Dionisis Cavouras
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Countries citing papers authored by Dionisis Cavouras

Since Specialization
Citations

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

Fields of papers citing papers by Dionisis Cavouras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dionisis Cavouras

This figure shows the co-authorship network connecting the top 25 collaborators of Dionisis Cavouras. A scholar is included among the top collaborators of Dionisis Cavouras 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 Dionisis Cavouras. Dionisis Cavouras 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
# Work Indexed citations
1 0
2 0
3 7
4 3
5 6
6 5
7
Computer-based image analysis system designed to differentiate between low-grade and high-grade laryngeal cancer cases.
5
8 15
9 16
10 37
11 5
12 11
13 9
14 13
15 15
16 7
17 9
18 4
19 106
20 41

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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