Michael Weber

18.5k total citations · 2 hit papers
503 papers, 12.7k citations indexed

About

Michael Weber is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Michael Weber has authored 503 papers receiving a total of 12.7k indexed citations (citations by other indexed papers that have themselves been cited), including 161 papers in Radiology, Nuclear Medicine and Imaging, 113 papers in Surgery and 106 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Michael Weber's work include Radiomics and Machine Learning in Medical Imaging (49 papers), MRI in cancer diagnosis (47 papers) and Medical Imaging Techniques and Applications (39 papers). Michael Weber is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (49 papers), MRI in cancer diagnosis (47 papers) and Medical Imaging Techniques and Applications (39 papers). Michael Weber collaborates with scholars based in Austria, Germany and United States. Michael Weber's co-authors include Siegfried Trattnig, Daniela Prayer, Thomas H. Helbich, Gregor Kasprian, Katja Pinker, Christian Herold, Peter Brügger, Cornelia Schaefer‐Prokop, Mathias Prokop and Wolfgang Bogner and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Michael Weber

484 papers receiving 12.4k citations

Hit Papers

Illustrated Pollen Terminology 2016 2026 2019 2022 2018 2016 100 200 300

Peers

Michael Weber
Comparison fields: 5 of 206
  • Radiology, Nuclear Medicine and Imaging 4.7k
  • Surgery 2.5k
  • Pulmonary and Respiratory Medicine 1.9k
  • Pathology and Forensic Medicine 1.6k
  • Biomedical Engineering 1.4k
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Citations per field, relative to Michael Weber
Michael Weber · 1×
Citations per year, relative to Michael Weber
Michael Weber · 1×

Countries citing papers authored by Michael Weber

Since Specialization
Citations

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

Fields of papers citing papers by Michael Weber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Weber

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Weber. A scholar is included among the top collaborators of Michael Weber 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 Michael Weber. Michael Weber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 0
4 0
5 1
6 1
7 6
8 13
9 3
10 3
11 3
12 5
13 5
14 16
15 8
16 20
17 6
18 66
19 81
20 71

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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