Andreas Kanavos
Impact in
- Computational Mathematics top 5%
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- Artificial Intelligence in Healthcare
Papers in
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- Advanced Text Analysis Techniques 12
- Sentiment Analysis and Opinion Mining 10
- Topic Modeling 9
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- Spam and Phishing Detection 13
- Co-authors
- Vassilis C. Gerogiannis (34 shared papers)Biswaranjan Acharya (29 shared papers)Christos Makris (18 shared papers)Phivos Mylonas (29 shared papers)Athanasios Tsakalidis (14 shared papers)Γεώργιος Δρακόπουλος (18 shared papers)Ioannis E. Livieris (7 shared papers)Spyros Sioutas (14 shared papers)
- Journals
- Electronics (4 papers)Evolving Systems (4 papers)Neural Computing and Applications (4 papers)Sustainability (2 papers)Big Data and Cognitive Computing (2 papers)
- Partner nations
- GreeceIndiaUnited Arab Emirates
In The Last Decade
Andreas Kanavos
123 papers receiving 1.3k citations
Andreas Kanavos's Hit Papers
Peers
Comparison fields: 5 of 137
- Computational Mathematics 26
- Health Information Management 97
- Artificial Intelligence 529
- Statistical and Nonlinear Physics 192
- Health Informatics 18
Countries citing papers authored by Andreas Kanavos
This map shows the geographic impact of Andreas Kanavos'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 Andreas Kanavos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Kanavos more than expected).
Fields of papers citing papers by Andreas Kanavos
This network shows the impact of papers produced by Andreas Kanavos. 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 Andreas Kanavos. The network helps show where Andreas Kanavos may publish in the future.
Co-authors
The 25 scholars most cited alongside Andreas Kanavos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Using Deep Learning Architectures for Detection and Classification of Diabetic Retinopathy Hit paper breakdown → | 2023 | 94 |
| 2 | 2022 | 75 | |
| 3 | 2023 | 55 | |
| 4 | 2017 | 53 | |
| 5 | 2017 | 40 | |
| 6 | 2021 | 40 | |
| 7 | 2019 | 38 | |
| 8 | 2022 | 38 | |
| 9 | 2018 | 35 | |
| 10 | 2022 | 34 | |
| 11 | 2014 | 33 | |
| 12 | 2018 | 25 | |
| 13 | 2021 | 24 | |
| 14 | 2019 | 24 | |
| 15 | 2018 | 21 | |
| 16 | 2014 | 21 | |
| 17 | 2017 | 20 | |
| 18 | 2023 | 18 | |
| 19 | 2018 | 18 | |
| 20 | 2019 | 15 |
About Andreas Kanavos
Andreas Kanavos is a scholar working on Artificial Intelligence, Information Systems, Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 135 papers that have together received 1.3k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (30 papers), Opinion Dynamics and Social Influence (18 papers), Spam and Phishing Detection (13 papers), Advanced Text Analysis Techniques (12 papers), Sentiment Analysis and Opinion Mining (10 papers), Topic Modeling (9 papers), Data Management and Algorithms (8 papers) and Misinformation and Its Impacts (7 papers). The work is most often cited by research in Computational Mathematics (26 citations), Health Information Management (97 citations), Artificial Intelligence (529 citations), Statistical and Nonlinear Physics (192 citations) and Health Informatics (18 citations). Andreas Kanavos has collaborated with scholars based in Greece, India and United Arab Emirates. Frequent co-authors include Vassilis C. Gerogiannis, Biswaranjan Acharya, Christos Makris, Phivos Mylonas, Athanasios Tsakalidis, Γεώργιος Δρακόπουλος, Ioannis E. Livieris, Spyros Sioutas, Panagiotis Pintelas and Vassilis Tampakas. Their work appears in journals such as Electronics, Evolving Systems, Neural Computing and Applications, Sustainability and Big Data and Cognitive Computing.
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.