Andreas Schindele
- Biophysics top 5%
- Radiology, Nuclear Medicine and Imaging
- Biomedical Engineering
- Ophthalmology
- Molecular Biology
- Co-authors
- Hans Georg BreunigKarsten KönigAna BatistaAlfio Borzı̀Tobias HägerBerthold SeitzMartin KaatzMichael Zieger
- Topics
- Radiomics and Machine Learning in Medical Imaging (2 papers)Advanced Numerical Methods in Computational Mathematics (2 papers)Spectroscopy Techniques in Biomedical and Chemical Research (2 papers)
- Journals
- Scientific ReportsIEEE Transactions on Medical ImagingInvestigative Ophthalmology & Visual Science
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Andreas Schindele
11 papers receiving 124 citations
Peers
Comparison fields: 5 of 58
- Biophysics 53
- Radiology, Nuclear Medicine and Imaging 49
- Biomedical Engineering 44
- Ophthalmology 21
- Molecular Biology 15
Countries citing papers authored by Andreas Schindele
This map shows the geographic impact of Andreas Schindele'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 Andreas Schindele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Schindele more than expected).
Fields of papers citing papers by Andreas Schindele
This network shows the impact of papers produced by Andreas Schindele. 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 Andreas Schindele. The network helps show where Andreas Schindele may publish in the future.
Co-authorship network of co-authors of Andreas Schindele
This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Schindele. A scholar is included among the top collaborators of Andreas Schindele based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andreas Schindele. Andreas Schindele is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 35 | |
| 6 | 28 | |
| 7 | 3 | |
| 8 | 25 | |
| 9 | 7 | |
| 10 | 1 | |
| 11 | 11 | |
| 12 | 8 |
About Andreas Schindele
Andreas Schindele is a scholar working on Biophysics, Radiology, Nuclear Medicine and Imaging and Otorhinolaryngology, having authored 12 papers that have together received 129 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (2 papers), Advanced Numerical Methods in Computational Mathematics (2 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (2 papers). The work is most often cited by research in Biophysics (53 citations), Ophthalmology (21 citations) and Radiology, Nuclear Medicine and Imaging (49 citations). Andreas Schindele has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Hans Georg Breunig, Karsten König, Ana Batista, Alfio Borzı̀, Tobias Häger, Berthold Seitz, Martin Kaatz, Michael Zieger, Miguel Morgado and Jürgen E. Schneider. Their work appears in journals such as Scientific Reports, IEEE Transactions on Medical Imaging and Investigative Ophthalmology & Visual Science.
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.