Alexander Hafner
Impact in
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- Privacy-Preserving Technologies in Data
- AI in cancer detection
Papers in
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- Privacy-Preserving Technologies in Data 3
- Internet Traffic Analysis and Secure E-voting 2
- Machine Learning in Healthcare 2
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- COVID-19 diagnosis using AI 3
- Co-authors
- Manfred Reichert (4 shared papers)Marc Zimmermann (1 shared paper)Hans D. Schotten (1 shared paper)Daniel Fraunholz (1 shared paper)Christopher Kloth (2 shared papers)Meinrad Beer (2 shared papers)Monika Sester (1 shared paper)Mark Vollrath (1 shared paper)
- Journals
- Scientific Reports (2 papers)IEEE Access (1 paper)International Journal of Machine Learning and Cybernetics (1 paper)PubMed (1 paper)Proceedings of the Human Factors and Ergonomics Society Annual Meeting (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
Alexander Hafner
10 papers receiving 74 citations
Peers
Comparison fields: 5 of 46
- Health Informatics 4
- Artificial Intelligence 29
- Automotive Engineering 10
- Oral Surgery 5
- Radiology, Nuclear Medicine and Imaging 16
Countries citing papers authored by Alexander Hafner
This map shows the geographic impact of Alexander Hafner'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 Alexander Hafner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Hafner more than expected).
Fields of papers citing papers by Alexander Hafner
This network shows the impact of papers produced by Alexander Hafner. 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 Alexander Hafner. The network helps show where Alexander Hafner may publish in the future.
Co-authors
The 9 scholars most cited alongside Alexander Hafner, 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 | 2023 | 12 | |
| 2 | 2017 | 12 | |
| 3 | 2024 | 10 | |
| 4 | 2023 | 10 | |
| 5 | 2024 | 8 | |
| 6 | 2018 | 8 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 4 | |
| 9 | 2019 | 3 | |
| 10 | 2019 | 2 | |
| 11 | Air data sensing for space shuttle | 1971 | 0 |
About Alexander Hafner
Alexander Hafner is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Control and Systems Engineering, Health Informatics and Management Science and Operations Research, having authored 11 papers that have together received 76 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (3 papers), COVID-19 diagnosis using AI (3 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Machine Learning in Healthcare (2 papers), Traffic Prediction and Management Techniques (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Simulation Techniques and Applications (2 papers) and Traffic control and management (2 papers). The work is most often cited by research in Health Informatics (4 citations), Artificial Intelligence (29 citations), Automotive Engineering (10 citations), Oral Surgery (5 citations) and Radiology, Nuclear Medicine and Imaging (16 citations). Alexander Hafner has collaborated with scholars based in Germany and United States. Frequent co-authors include Manfred Reichert, Marc Zimmermann, Hans D. Schotten, Daniel Fraunholz, Christopher Kloth, Meinrad Beer, Monika Sester, Mark Vollrath and Hao Cheng. Their work appears in journals such as Scientific Reports, IEEE Access, International Journal of Machine Learning and Cybernetics, PubMed and Proceedings of the Human Factors and Ergonomics Society Annual Meeting.
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.