Athanasios Kiourtis
Impact in
- Health Information Management top 0.5%
- Artificial Intelligence in Healthcare
- Electronic Health Records Systems
- Health Informatics top 5%
Papers in
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- IoT and Edge/Fog Computing 17
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- Machine Learning in Healthcare 8
- Co-authors
- Dimosthenis Kyriazis (77 shared papers)Argyro Mavrogiorgou (68 shared papers)Andreas Menychtas (6 shared papers)Κonstantinos Perakis (3 shared papers)Marios Touloupou (5 shared papers)George Manias (11 shared papers)Evgenia Kapassa (4 shared papers)Ilias Maglogiannis (6 shared papers)
In The Last Decade
Athanasios Kiourtis
78 papers receiving 807 citations
Peers
Comparison fields: 5 of 115
- Health Information Management 179
- Health Informatics 46
- Computer Networks and Communications 225
- Information Systems 172
- Management Science and Operations Research 91
Countries citing papers authored by Athanasios Kiourtis
This map shows the geographic impact of Athanasios Kiourtis'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 Athanasios Kiourtis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Athanasios Kiourtis more than expected).
Fields of papers citing papers by Athanasios Kiourtis
This network shows the impact of papers produced by Athanasios Kiourtis. 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 Athanasios Kiourtis. The network helps show where Athanasios Kiourtis may publish in the future.
Co-authors
The 25 scholars most cited alongside Athanasios Kiourtis, 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 70 | |
| 2 | 2019 | 54 | |
| 3 | 2019 | 42 | |
| 4 | 2019 | 38 | |
| 5 | 2023 | 37 | |
| 6 | 2024 | 36 | |
| 7 | 2022 | 33 | |
| 8 | 2019 | 32 | |
| 9 | 2021 | 30 | |
| 10 | 2019 | 25 | |
| 11 | 2022 | 22 | |
| 12 | 2020 | 21 | |
| 13 | 2018 | 20 | |
| 14 | 2022 | 18 | |
| 15 | 2019 | 17 | |
| 16 | 2021 | 16 | |
| 17 | 2018 | 14 | |
| 18 | 2022 | 14 | |
| 19 | 2022 | 13 | |
| 20 | 2017 | 13 |
About Athanasios Kiourtis
Athanasios Kiourtis is a scholar working on Computer Networks and Communications, Artificial Intelligence, Health Information Management, Information Systems and Computer Vision and Pattern Recognition, having authored 80 papers that have together received 831 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (17 papers), Data Quality and Management (12 papers), Artificial Intelligence in Healthcare (11 papers), Context-Aware Activity Recognition Systems (11 papers), Cloud Computing and Resource Management (10 papers), Wireless Body Area Networks (8 papers), Electronic Health Records Systems (8 papers) and Machine Learning in Healthcare (8 papers). The work is most often cited by research in Health Information Management (179 citations), Health Informatics (46 citations), Computer Networks and Communications (225 citations), Information Systems (172 citations) and Management Science and Operations Research (91 citations). Athanasios Kiourtis has collaborated with scholars based in Greece, Italy and Spain. Frequent co-authors include Dimosthenis Kyriazis, Argyro Mavrogiorgou, Andreas Menychtas, Κonstantinos Perakis, Marios Touloupou, George Manias, Evgenia Kapassa, Ilias Maglogiannis, Sokratis Nifakos and Konstantinos Voulgaris. Their work appears in journals such as Emerging Science Journal, Sensors, Journal of Biomedical Informatics, International Journal of Medical Informatics and Applied Sciences.
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.