Ιoannis M. Dokas
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- Occupational Health and Safety Research 17
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- Risk and Safety Analysis 18
- Social Psychology top 10%
- Human-Automation Interaction and Safety 8
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- Air Quality and Health Impacts 4
- Climate Change and Health Impacts 4
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- Service-Oriented Architecture and Web Services 4
- Web Applications and Data Management 3
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- Global Health Care Issues 3
- Co-authors
- Ioannis KostavelisAngeliki ZacharakiΑντώνιος ΓαστεράτοςMaria Mikela ChatzimichailidouJohn FeehanSyed ImranD.A. KarrasAnastasia Κ. Paschalidou
- Cited by
- Radiological and Ultrasound TechnologyStatistics, Probability and UncertaintyMedical Laboratory Technology
- Partner nations
- GreeceIrelandUnited Kingdom
In The Last Decade
Ιoannis M. Dokas
49 papers receiving 612 citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Radiological and Ultrasound Technology 139
- Statistics, Probability and Uncertainty 124
- Medical Laboratory Technology 25
- Safety, Risk, Reliability and Quality 59
- Social Psychology 112
Countries citing papers authored by Ιoannis M. Dokas
This map shows the geographic impact of Ιoannis M. Dokas'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 Ιoannis M. Dokas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ιoannis M. Dokas more than expected).
Fields of papers citing papers by Ιoannis M. Dokas
This network shows the impact of papers produced by Ιoannis M. Dokas. 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 Ιoannis M. Dokas. The network helps show where Ιoannis M. Dokas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ιoannis M. Dokas, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 15 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 6 | |
| 13 | 2022 | 18 | |
| 14 | 2022 | 2 | |
| 15 | 2021 | 10 | |
| 16 | A Measure of Systems Self-Awareness. | 2015 | 1 |
| 17 | 2008 | 2 | |
| 18 | 2007 | 21 | |
| 19 | Fuzzy Fault Tree Representation and Maintenance based on Frames and Constraint Technologies: A Case Study | 2007 | 1 |
| 20 | Developing Web Sites For Web Based Expert Systems: A Web Engineering Approach. | 2005 | 22 |
About Ιoannis M. Dokas
Ιoannis M. Dokas is a scholar working on Radiological and Ultrasound Technology, Statistics, Probability and Uncertainty and Software, having authored 50 papers that have together received 641 indexed citations. Recurring topics across this work include Risk and Safety Analysis (18 papers), Occupational Health and Safety Research (17 papers), Human-Automation Interaction and Safety (8 papers), Air Quality and Health Impacts (4 papers), Climate Change and Health Impacts (4 papers), Service-Oriented Architecture and Web Services (4 papers), Web Applications and Data Management (3 papers) and Global Health Care Issues (3 papers). The work is most often cited by research in Radiological and Ultrasound Technology (139 citations), Statistics, Probability and Uncertainty (124 citations) and Medical Laboratory Technology (25 citations). Ιoannis M. Dokas has collaborated with scholars based in Greece, Ireland and United Kingdom. Frequent co-authors include Ioannis Kostavelis, Angeliki Zacharaki, Αντώνιος Γαστεράτος, Maria Mikela Chatzimichailidou, John Feehan, Syed Imran, D.A. Karras, Anastasia Κ. Paschalidou, Neville A. Stanton and S. Karma.
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.