Eleni Georgiadou

823 citations
23 papers · 313 indexed · h-index 12
Topics
Pancreatic function and diabetes (10 papers)Metabolism, Diabetes, and Cancer (5 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)

In The Last Decade

Eleni Georgiadou

21 papers receiving 308 citations

Peers

Eleni Georgiadou
Comparison fields: 5 of 79
  • Surgery 129
  • Molecular Biology 110
  • Endocrinology, Diabetes and Metabolism 48
  • Physiology 46
  • Genetics 40
Replace Viera Habalová with:
Viera Habalová Slovakia
J. Gregory Maresh United States
Haibo Tang China
Takasumi Shimomoto Japan
F. Archambeaud France
Zhijian Yang China
Jialiang Hui China
Anne Kunath Germany
Christelle Cousin France
Eleni Georgiadou relative to Viera Habalová Slovakia Viera Habalová's profile →
Citations per field
00.5×5.3×
Viera Habalová · 1×
Citations per year

Countries citing papers authored by Eleni Georgiadou

Since Specialization
Citations

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

Fields of papers citing papers by Eleni Georgiadou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eleni Georgiadou

This figure shows the co-authorship network connecting the top 25 collaborators of Eleni Georgiadou. A scholar is included among the top collaborators of Eleni Georgiadou 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 Eleni Georgiadou. Eleni Georgiadou 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 6
2 1
3 0
4 1
5 2
6 11
7 0
8 12
9 19
10 11
11 14
12 22
13 56
14 16
15 14
16 6
17 14
18 35
19 1
20 36

About Eleni Georgiadou

Eleni Georgiadou is a scholar working on Health Informatics, Process Chemistry and Technology and Endocrinology, Diabetes and Metabolism, having authored 23 papers that have together received 313 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (10 papers), Metabolism, Diabetes, and Cancer (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Health Informatics (9 citations), Reproductive Medicine (31 citations) and Surgery (129 citations). Eleni Georgiadou has collaborated with scholars based in United Kingdom, Greece and Singapore. Frequent co-authors include Guy A. Rutter, Aida Martínez-Sánchez, Timothy J. Pullen, Niki Katsiki, Apostolos Hatzitolios, Nikolaos Stogiannos, Constantini Samara, Athanasios Besis, Christina Malamateniou and Livia López–Noriega. Their work appears in journals such as Nature Communications, The Science of The Total Environment and Diabetes.

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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