Joseph Moutiris
Impact in
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- Artificial Intelligence in Healthcare
- Artificial Intelligence top 10%
- Imbalanced Data Classification Techniques
- Machine Learning in Healthcare
Papers in
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- Cardiovascular Disease and Adiposity 2
- Cardiac Health and Mental Health 2
- Cardiovascular Function and Risk Factors 2
- Cardiovascular Health and Disease Prevention 1
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- Artificial Intelligence in Healthcare 3
- Co-authors
- Constantinos S. Pattichis (4 shared papers)Vicky Karkou (1 shared paper)Panayiotis D. Megaloikonomos (1 shared paper)George M. Palatianos (1 shared paper)Eleni Antypa (1 shared paper)Dimitrios Nikas (1 shared paper)
- Journals
- European Journal of Preventive Cardiology (3 papers)Edge Hill University Research Information Repository (Edge Hill University) (1 paper)Zenodo (CERN European Organization for Nuclear Research) (2 papers)PubMed (2 papers)IEEE Transactions on Information Technology in Biomedicine (1 paper)
In The Last Decade
Joseph Moutiris
9 papers receiving 177 citations
Peers
Comparison fields: 5 of 52
- Health Information Management 146
- Artificial Intelligence 115
- Medical Laboratory Technology 5
- Information Systems 57
- Cardiology and Cardiovascular Medicine 45
Countries citing papers authored by Joseph Moutiris
This map shows the geographic impact of Joseph Moutiris'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 Joseph Moutiris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph Moutiris more than expected).
Fields of papers citing papers by Joseph Moutiris
This network shows the impact of papers produced by Joseph Moutiris. 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 Joseph Moutiris. The network helps show where Joseph Moutiris may publish in the future.
Co-authors
The 6 scholars most cited alongside Joseph Moutiris, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 141 | |
| 2 | 2009 | 28 | |
| 3 | 2008 | 22 | |
| 4 | 2022 | 4 | |
| 5 | 2009 | 3 | |
| 6 | Carotid angioplasty in asymptomatic patients undergoing CABG surgery. | 2010 | 3 |
| 7 | 2017 | 2 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 1 |
About Joseph Moutiris
Joseph Moutiris is a scholar working on Cardiology and Cardiovascular Medicine, Health Information Management, Information Systems, Artificial Intelligence and Social Psychology, having authored 9 papers that have together received 205 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (3 papers), Data Mining Algorithms and Applications (3 papers), Imbalanced Data Classification Techniques (3 papers), Cardiovascular Disease and Adiposity (2 papers), Cardiac Health and Mental Health (2 papers), Cardiovascular Function and Risk Factors (2 papers), Diversity and Impact of Dance (1 paper) and Cardiovascular Health and Disease Prevention (1 paper). The work is most often cited by research in Health Information Management (146 citations), Artificial Intelligence (115 citations), Medical Laboratory Technology (5 citations), Information Systems (57 citations) and Cardiology and Cardiovascular Medicine (45 citations). Joseph Moutiris has collaborated with scholars based in Cyprus and Greece. Frequent co-authors include Constantinos S. Pattichis, Vicky Karkou, Panayiotis D. Megaloikonomos, George M. Palatianos, Eleni Antypa and Dimitrios Nikas. Their work appears in journals such as European Journal of Preventive Cardiology, Edge Hill University Research Information Repository (Edge Hill University), Zenodo (CERN European Organization for Nuclear Research), PubMed and IEEE Transactions on Information Technology in Biomedicine.
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.