Urspeter Knecht

19 papers and 303 indexed citations i.

About

Urspeter Knecht is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Neurology. According to data from OpenAlex, Urspeter Knecht has authored 19 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Genetics and 5 papers in Neurology. Recurrent topics in Urspeter Knecht’s work include Glioma Diagnosis and Treatment (14 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Brain Tumor Detection and Classification (5 papers). Urspeter Knecht is often cited by papers focused on Glioma Diagnosis and Treatment (14 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Brain Tumor Detection and Classification (5 papers). Urspeter Knecht collaborates with scholars based in Switzerland, Czechia and Austria. Urspeter Knecht's co-authors include Roland Wiest, Mauricio Reyes, Raphael Meier, Johannes Slotboom, Philippe Schucht, Stefan Bauer, Ekkehard Hewer, Richard McKinley, Yannick Suter and Evelyn Herrmann and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of neurosurgery.

In The Last Decade

Co-authorship network of co-authors of Urspeter Knecht i

Fields of papers citing papers by Urspeter Knecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Urspeter Knecht. 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 Urspeter Knecht. The network helps show where Urspeter Knecht may publish in the future.

Countries citing papers authored by Urspeter Knecht

Since Specialization
Citations

This map shows the geographic impact of Urspeter Knecht'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 Urspeter Knecht with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Urspeter Knecht more than expected).

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.

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