E. Schmitz
Impact in
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- Brain Tumor Detection and Classification
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- Glioma Diagnosis and Treatment
Papers in
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- Machine Learning in Bioinformatics 1
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- Brain Tumor Detection and Classification 1
E. Schmitz
3 papers receiving 8 citations
Peers
Comparison fields: 5 of 13
- Neurology 3
- Genetics 3
- Radiology, Nuclear Medicine and Imaging 3
- Computer Vision and Pattern Recognition 2
- Water Science and Technology 1
Countries citing papers authored by E. Schmitz
This map shows the geographic impact of E. Schmitz'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 E. Schmitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Schmitz more than expected).
Fields of papers citing papers by E. Schmitz
This network shows the impact of papers produced by E. Schmitz. 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 E. Schmitz. The network helps show where E. Schmitz may publish in the future.
Co-authors
The 7 scholars most cited alongside E. Schmitz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
About E. Schmitz
E. Schmitz is a scholar working on Molecular Biology, Neurology, Environmental Engineering, Water Science and Technology and Biomedical Engineering, having authored 3 papers that have together received 8 indexed citations. Recurring topics across this work include Optical Polarization and Ellipsometry (1 paper), Machine Learning in Bioinformatics (1 paper), Brain Tumor Detection and Classification (1 paper), Machine Learning in Materials Science (1 paper), Urban Stormwater Management Solutions (1 paper) and Hydrology and Watershed Management Studies (1 paper). The work is most often cited by research in Neurology (3 citations), Genetics (3 citations), Radiology, Nuclear Medicine and Imaging (3 citations), Computer Vision and Pattern Recognition (2 citations) and Water Science and Technology (1 citation). E. Schmitz has collaborated with scholars based in United States and Germany. Frequent co-authors include W. Merzkirch, Jing Wang, Yunhui Guo, Tom Jacobs, Ginny Moore, Robert Pitt and Richard Field. Their work appears in journals such as Rheologica Acta and Biomedical Physics & Engineering Express.
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.