Rupert Schmid

577 citations
15 papers · 475 · h-index 8

Impact in

    • Medical Imaging Techniques and Applications
    • MRI in cancer diagnosis
    • Radiomics and Machine Learning in Medical Imaging
    • Advanced MRI Techniques and Applications
  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

Rupert Schmid

15 papers receiving 459 citations

Peers

Rupert Schmid
Comparison fields: 5 of 47
  • Radiology, Nuclear Medicine and Imaging 212
  • Hepatology 69
  • Otorhinolaryngology 14
  • Pulmonary and Respiratory Medicine 98
  • Oncology 63
Replace J. H. Risse with:
J. H. Risse Germany
Conrad E. Nagle United States
Reiji Ochiai Japan
Ken Herrmann Germany
Marcello Rodari Italy
Nielson Tse United States
Malou A. Vermoolen Netherlands
A. Sabaté-Llobera Spain
P. Klever Germany
Georg Bier Germany
Rupert Schmid relative to J. H. Risse Germany J. H. Risse's profile →
Citations per field
00.5×3.5×
J. H. Risse · 1×
Citations per year

Countries citing papers authored by Rupert Schmid

Since Specialization
Citations

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

Fields of papers citing papers by Rupert Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rupert Schmid, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rupert Schmid Line = papers co-authored together Rupert Schmid links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2006170
2 2005131
3 200577
4 200530
5 200318
6 200310
7 20068
8 20047
9 20016
10 20035
11 20024
12 20023
13 20023
14 20042
15 20071

About Rupert Schmid

Rupert Schmid is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Nephrology, Oncology and Hepatology, having authored 15 papers that have together received 475 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (3 papers), Cardiac Imaging and Diagnostics (2 papers), Parathyroid Disorders and Treatments (2 papers), Advanced MRI Techniques and Applications (2 papers), Medical Imaging and Pathology Studies (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (212 citations), Hepatology (69 citations), Otorhinolaryngology (14 citations), Pulmonary and Respiratory Medicine (98 citations) and Oncology (63 citations). Rupert Schmid has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Reinhold Tiling, Gerwin P. Schmidt, Andrea Baur‐Melnyk, Stefan O. Schoenberg, Maximilian F. Reiser, Christoph R. Becker, Robert Stahl, Michael Schmidt, Peter Herzog and Thomas Helmberger. Their work appears in journals such as Investigative Radiology, Cancer Biotherapy and Radiopharmaceuticals, Nuclear Medicine Communications, Journal of Nuclear Cardiology and European Journal of Nuclear Medicine and Molecular Imaging.

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.

Explore authors with similar magnitude of impact