Aleksandra Werner
Impact in
-
- Artificial Intelligence in Healthcare
- Artificial Intelligence top 10%
- Imbalanced Data Classification Techniques
- Machine Learning and Data Classification
- Anomaly Detection Techniques and Applications
- Text and Document Classification Technologies
Papers in
-
- Imbalanced Data Classification Techniques 3
- Machine Learning in Healthcare 2
- Anomaly Detection Techniques and Applications 2
-
- Bone health and osteoporosis research 6
- Co-authors
- Małgorzata Bach (14 shared papers)Wojciech Pluskiewicz (7 shared papers)Joanna Żywiec (3 shared papers)M. Anke (1 shared paper)A. Hennig (1 shared paper)Daniel Clarke (1 shared paper)Stefan Kraan (1 shared paper)David Beck (1 shared paper)
In The Last Decade
Aleksandra Werner
22 papers receiving 298 citations
Peers
Comparison fields: 5 of 118
- Health Information Management 29
- Artificial Intelligence 112
- Orthopedics and Sports Medicine 23
- Health Informatics 3
- Oceanography 15
Countries citing papers authored by Aleksandra Werner
This map shows the geographic impact of Aleksandra Werner'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 Aleksandra Werner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aleksandra Werner more than expected).
Fields of papers citing papers by Aleksandra Werner
This network shows the impact of papers produced by Aleksandra Werner. 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 Aleksandra Werner. The network helps show where Aleksandra Werner may publish in the future.
Co-authors
The 25 scholars most cited alongside Aleksandra Werner, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 103 | |
| 2 | 2019 | 62 | |
| 3 | Experimental pyelonephritis. IX. The bacteriological course and morphological consequences of staphylococcal pyelonephritis in the rat, with consideration of the specificity of the pathological changes observed. | 1961 | 25 |
| 4 | 1960 | 22 | |
| 5 | Strategic Review and the Feasibility of Seaweed Aquaculture in Ireland | 2004 | 21 |
| 6 | 1960 | 17 | |
| 7 | 2023 | 15 | |
| 8 | 2017 | 12 | |
| 9 | 2023 | 7 | |
| 10 | 2021 | 5 | |
| 11 | 2021 | 5 | |
| 12 | 1961 | 5 | |
| 13 | 2021 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2023 | 2 | |
| 20 | No associations between rs2030712 and rs7456421 single nucleotide polymorphisms of HIPK2 gene and prevalence of chronic kidney disease. Results of a family-based study. | 2013 | 1 |
About Aleksandra Werner
Aleksandra Werner is a scholar working on Artificial Intelligence, Orthopedics and Sports Medicine, Health Information Management, Agronomy and Crop Science and Radiology, Nuclear Medicine and Imaging, having authored 24 papers that have together received 321 indexed citations. Recurring topics across this work include Bone health and osteoporosis research (6 papers), Artificial Intelligence in Healthcare (3 papers), Imbalanced Data Classification Techniques (3 papers), Machine Learning in Healthcare (2 papers), Anomaly Detection Techniques and Applications (2 papers), Ruminant Nutrition and Digestive Physiology (2 papers), COVID-19 diagnosis using AI (2 papers) and Forensic Anthropology and Bioarchaeology Studies (1 paper). The work is most often cited by research in Health Information Management (29 citations), Artificial Intelligence (112 citations), Orthopedics and Sports Medicine (23 citations), Health Informatics (3 citations) and Oceanography (15 citations). Aleksandra Werner has collaborated with scholars based in Poland and Germany. Frequent co-authors include Małgorzata Bach, Wojciech Pluskiewicz, Joanna Żywiec, M. Anke, A. Hennig, Daniel Clarke, Stefan Kraan, David Beck, Lawrence R. Freedman and Bogna Drozdzowska. Their work appears in journals such as Biomedicines, Archives of Osteoporosis, Scientific Reports, Applied Sciences and Functional Ecology.
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.