Sven Koitka
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
Papers in
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- Radiomics and Machine Learning in Medical Imaging 10
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- Advanced X-ray and CT Imaging 8
- Co-authors
- Christoph M. Friedrich (8 shared papers)Felix Nensa (22 shared papers)René Hosch (15 shared papers)Johannes Haubold (14 shared papers)Moon Kim (4 shared papers)Lale Umutlu (5 shared papers)Giulia Baldini (7 shared papers)Michael Forsting (4 shared papers)
- Journals
- Scientific Reports (4 papers)Investigative Radiology (2 papers)European Radiology (2 papers)Journal of Clinical Medicine (1 paper)The R Journal (1 paper)
- Partner nations
- GermanyUnited StatesTürkiye
In The Last Decade
Sven Koitka
27 papers receiving 309 citations
Peers
Comparison fields: 5 of 79
- Health Informatics 43
- Radiology, Nuclear Medicine and Imaging 124
- Computational Mathematics 2
- Developmental Biology 7
- Oral Surgery 22
Countries citing papers authored by Sven Koitka
This map shows the geographic impact of Sven Koitka'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 Sven Koitka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sven Koitka more than expected).
Fields of papers citing papers by Sven Koitka
This network shows the impact of papers produced by Sven Koitka. 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 Sven Koitka. The network helps show where Sven Koitka may publish in the future.
Co-authors
The 25 scholars most cited alongside Sven Koitka, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 30 | |
| 2 | 2020 | 29 | |
| 3 | Traditional Feature Engineering and Deep Learning Approaches at Medical Classification Task of ImageCLEF 2016. | 2016 | 23 |
| 4 | Word Embeddings and Linguistic Metadata at the CLEF 2018 Tasks for Early Detection of Depression and Anorexia. | 2018 | 22 |
| 5 | 2022 | 21 | |
| 6 | 2018 | 21 | |
| 7 | 2021 | 19 | |
| 8 | 2023 | 16 | |
| 9 | 2022 | 14 | |
| 10 | 2023 | 13 | |
| 11 | 2022 | 13 | |
| 12 | Linguistic Metadata Augmented Classifiers at the CLEF 2017 Task for Early Detection of Depression. | 2017 | 12 |
| 13 | Recognizing Bird Species in Audio Files Using Transfer Learning. | 2017 | 10 |
| 14 | 2023 | 10 | |
| 15 | 2022 | 9 | |
| 16 | 2024 | 8 | |
| 17 | 2024 | 7 | |
| 18 | 2023 | 6 | |
| 19 | 2020 | 6 | |
| 20 | 2023 | 5 |
About Sven Koitka
Sven Koitka is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Artificial Intelligence, Pulmonary and Respiratory Medicine and Surgery, having authored 28 papers that have together received 317 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (10 papers), Advanced X-ray and CT Imaging (8 papers), Artificial Intelligence in Healthcare and Education (3 papers), Machine Learning in Healthcare (3 papers), Nutrition and Health in Aging (2 papers), Body Composition Measurement Techniques (2 papers), Mental Health via Writing (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Health Informatics (43 citations), Radiology, Nuclear Medicine and Imaging (124 citations), Computational Mathematics (2 citations), Developmental Biology (7 citations) and Oral Surgery (22 citations). Sven Koitka has collaborated with scholars based in Germany, United States and Türkiye. Frequent co-authors include Christoph M. Friedrich, Felix Nensa, René Hosch, Johannes Haubold, Moon Kim, Lale Umutlu, Giulia Baldini, Michael Forsting, Jens Kleesiek and Asja Fischer. Their work appears in journals such as Scientific Reports, Investigative Radiology, European Radiology, Journal of Clinical Medicine and The R Journal.
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.