Oya Beyan
- Health Informatics top 1%
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- Electronic Health Records Systems 6
- Artificial Intelligence top 5%
- Semantic Web and Ontologies 10
- Privacy-Preserving Technologies in Data 9
- Machine Learning in Healthcare 6
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- Scientific Computing and Data Management 16
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- Biomedical Text Mining and Ontologies 13
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- Research Data Management Practices 13
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- Data Quality and Management 10
- Co-authors
- Stefan DeckerMd. Rezaul KarimMichael CochezDietrich Rebholz‐SchuhmannIvan G. CostaTill DöhmenAchille ZappaChristoph Lange
- Partner nations
- GermanyNetherlandsIreland
In The Last Decade
Oya Beyan
55 papers receiving 965 citations
Peers
Comparison fields: 5 of 141
- Health Informatics 117
- Health Information Management 85
- Artificial Intelligence 406
- Radiology, Nuclear Medicine and Imaging 227
- Information Systems and Management 63
Countries citing papers authored by Oya Beyan
This map shows the geographic impact of Oya Beyan'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 Oya Beyan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oya Beyan more than expected).
Fields of papers citing papers by Oya Beyan
This network shows the impact of papers produced by Oya Beyan. 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 Oya Beyan. The network helps show where Oya Beyan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Oya Beyan, 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 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 70 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 5 | |
| 12 | 2022 | 6 | |
| 13 | DeepCOVIDExplainer: Explainable COVID-19 Predictions Based on Chest X-ray Images | 2020 | 44 |
| 14 | 2020 | 96 | |
| 15 | 2019 | 15 | |
| 16 | 2019 | 99 | |
| 17 | 2019 | 1 | |
| 18 | Recurrent Deep Embedding Networks for Genotype Clustering and Ethnicity Prediction. | 2018 | 2 |
| 19 | 2018 | 5 | |
| 20 | An RDF Based Semantic Approach to Model Temporal Relations in Health Records. | 2016 | 0 |
About Oya Beyan
Oya Beyan is a scholar working on Health Informatics, Information Systems and Management, Health Information Management, Artificial Intelligence and Management Science and Operations Research, having authored 64 papers that have together received 999 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (16 papers), Biomedical Text Mining and Ontologies (13 papers), Research Data Management Practices (13 papers), Semantic Web and Ontologies (10 papers), Data Quality and Management (10 papers), Privacy-Preserving Technologies in Data (9 papers), Machine Learning in Healthcare (6 papers) and Electronic Health Records Systems (6 papers). The work is most often cited by research in Health Informatics (117 citations), Health Information Management (85 citations), Artificial Intelligence (406 citations), Radiology, Nuclear Medicine and Imaging (227 citations) and Information Systems and Management (63 citations). Oya Beyan has collaborated with scholars based in Germany, Netherlands and Ireland. Frequent co-authors include Stefan Decker, Md. Rezaul Karim, Michael Cochez, Dietrich Rebholz‐Schuhmann, Ivan G. Costa, Till Döhmen, Achille Zappa, Christoph Lange, Md Shajalal and Chowdhury Farhan Ahmed. Their work appears in journals such as Data Intelligence, IEEE Access, Briefings in Bioinformatics, Applied Sciences and Scientific Data.
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.