Daniel Hausmann

About

Daniel Hausmann is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Daniel Hausmann has authored 49 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Radiology, Nuclear Medicine and Imaging, 21 papers in Pulmonary and Respiratory Medicine and 8 papers in Surgery. Recurrent topics in Daniel Hausmann’s work include MRI in cancer diagnosis (18 papers), Prostate Cancer Diagnosis and Treatment (14 papers) and Radiomics and Machine Learning in Medical Imaging (13 papers). Daniel Hausmann is often cited by papers focused on MRI in cancer diagnosis (18 papers), Prostate Cancer Diagnosis and Treatment (14 papers) and Radiomics and Machine Learning in Medical Imaging (13 papers). Daniel Hausmann collaborates with scholars based in Germany, Switzerland and United States. Daniel Hausmann's co-authors include Stefan O. Schoenberg, Ulrike Attenberger, Philipp Riffel, Dietmar Dinter, John N. Morelli, Johannes Budjan, Jost von Hardenberg, Niklas Westhoff, Nils Rathmann and Manuel Ritter and has published in prestigious journals such as Journal of Vascular Surgery, Leukemia and European Journal of Nuclear Medicine and Molecular Imaging.

In The Last Decade

Co-authorship network of co-authors of Daniel Hausmann i

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Fields of papers citing papers by Daniel Hausmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Hausmann

Since Specialization

Citations

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