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Updated: Jun 5, 2026
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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
Mapping the AI life sciences landscape in Greece: a bibliometric comparison with global patterns
Eleni Adamidi1,2, Serafeim Chatzopoulos3, Alexandros C Dimopoulos4,5
1Athena Research Center, IMSI, Aigialias 19 & Chalepa, Marousi, Athens, 15125, Greece. eleni.adamidi@athenarc.gr.
Scientific Reports
|June 3, 2026
Summary
Greece excels in artificial intelligence (AI) methodology and algorithm development within life sciences. However, the country shows less focus on patient-centered research compared to global trends.
Area of Science:
- Life Sciences
- Artificial Intelligence
- Bibliometrics
Background:
- Artificial intelligence (AI) adoption in life sciences varies globally.
- Mapping AI's role in Greece's life science sector is crucial for understanding national research trends.
Purpose of the Study:
- To analyze the landscape of AI in life sciences research within Greece.
- To identify thematic strengths and weaknesses in Greek AI life science publications.
Main Methods:
- A bibliometric analysis of 916,824 AI-related life science papers from OpenAlex and PubMed.
- Publications were tagged with Medical Subject Headings (MeSH) for comparative analysis.
- Greek-affiliated publications were compared against the global corpus.
Main Results:
- Greek research is disproportionately focused on AI methodology and algorithm development.
- Global research is dominated by disease-focused, organism-centered, and clinical applications.
- Greece demonstrates strengths in machine learning techniques and analytical tools but is under-represented in translational research.
Conclusions:
- Greece has a distinct profile in AI life sciences, excelling in foundational methods.
- There is an opportunity to enhance translational and patient-centered AI research in Greece.
- This study provides a comprehensive overview of AI activity in Greek life sciences.
