Daniel T. Schmid

1.6k citations
24 papers · 1.2k · h-index 17

Impact in

    • Head and Neck Cancer Studies
    • Medical Imaging Techniques and Applications
    • Radiomics and Machine Learning in Medical Imaging
    • Advanced MRI Techniques and Applications
    • Radiopharmaceutical Chemistry and Applications
    • MRI in cancer diagnosis

Papers in

Daniel T. Schmid

24 papers receiving 1.1k citations

Peers

Daniel T. Schmid
Comparison fields: 5 of 72
  • Otorhinolaryngology 257
  • Radiology, Nuclear Medicine and Imaging 705
  • Pulmonary and Respiratory Medicine 442
  • Radiation 77
  • Oncology 188
Replace Satoshi Yamada with:
Satoshi Yamada Japan
Saiji Ohga Japan
W.F. Mourad United States
X. Liem France
Nancy Lee United States
Jeffrey W. Bailet United States
Musaddiq Awan United States
Luc Vakaet Belgium
Daisuke Miyawaki Japan
Hiroaki Onaya Japan
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Citations per field
00.5×3.6×
Satoshi Yamada · 1×
Citations per year

Countries citing papers authored by Daniel T. Schmid

Since Specialization
Citations

This map shows the geographic impact of Daniel T. 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 Daniel T. Schmid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Schmid more than expected).

Fields of papers citing papers by Daniel T. Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel T. 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 Daniel T. Schmid Line = papers co-authored together Daniel T. Schmid links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012191
2 2005186
3 2003100
4 200993
5 200490
6 201287
7 201170
8 200562
9 201047
10 201229
11 200226
12 201026
13 200923
14 200723
15 201521
16 200721
17 201020
18 200815
19 200815
20 201215

About Daniel T. Schmid

Daniel T. Schmid is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Pulmonary and Respiratory Medicine, Otorhinolaryngology and Biomedical Engineering, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (13 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Head and Neck Cancer Studies (6 papers), Salivary Gland Tumors Diagnosis and Treatment (4 papers), MRI in cancer diagnosis (4 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Lung Cancer Diagnosis and Treatment (3 papers) and Advanced X-ray and CT Imaging (2 papers). The work is most often cited by research in Otorhinolaryngology (257 citations), Radiology, Nuclear Medicine and Imaging (705 citations), Pulmonary and Respiratory Medicine (442 citations), Radiation (77 citations) and Oncology (188 citations). Daniel T. Schmid has collaborated with scholars based in Switzerland, Australia and Germany. Frequent co-authors include Gustav K. von Schulthess, Gerhard W. Goerres, Thomas F. Hany, Sandro J. Stoeckli, Irene A. Burger, Félix P. Kuhn, David W. Crook, P Huguenin, Stephan Schmid and Niklaus Schaefer. Their work appears in journals such as Radiology, European Journal of Nuclear Medicine and Molecular Imaging, European Radiology, Cancer Imaging and Technology in Cancer Research & Treatment.

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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