Daniel T. Schmid

1.6k citations
24 papers · 1.3k · h-index 18

Impact in

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

Papers in

Daniel T. Schmid

24 papers receiving 1.2k citations

Peers

Daniel T. Schmid
Comparison fields: 5 of 69
  • Otorhinolaryngology 269
  • Radiology, Nuclear Medicine and Imaging 556
  • Pulmonary and Respiratory Medicine 358
  • Oncology 158
  • Radiation 49
Replace Sheila Rege with:
Sheila Rege United States
Ryuichi Nishimura Japan
Hao Peng China
Laura Lavinia Travaini Italy
W.F. Mourad United States
Leonard J. Shukovsky United States
Luc Vakaet Belgium
Olga Hamming‐Vrieze Netherlands
Stephan K. Haerle Switzerland
Rie Nakahara Japan
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Citations per field
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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 2012201
2 2005195
3 2003110
4 2009105
5 2004100
6 201295
7 201170
8 200569
9 201053
10 201230
11 200229
12 200926
13 201026
14 200725
15 201022
16 200721
17 201521
18 200817
19 200816
20 201216

About Daniel T. Schmid

Daniel T. Schmid is a scholar working on Radiology, Nuclear Medicine and Imaging, Otorhinolaryngology, Pulmonary and Respiratory Medicine, Biomedical Engineering and Surgery, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (7 papers), Head and Neck Cancer Studies (5 papers), MRI in cancer diagnosis (3 papers), Advanced X-ray and CT Imaging (2 papers), Prostate Cancer Diagnosis and Treatment (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Advanced Radiotherapy Techniques (1 paper). The work is most often cited by research in Otorhinolaryngology (269 citations), Radiology, Nuclear Medicine and Imaging (556 citations), Pulmonary and Respiratory Medicine (358 citations), Oncology (158 citations) and Radiation (49 citations). Daniel T. Schmid has collaborated with scholars based in Switzerland, Germany and Australia. Frequent co-authors include Gustav K. von Schulthess, Gerhard W. Goerres, Thomas F. Hany, Sandro J. Stoeckli, Irene A. Burger, Stephan Schmid, P Huguenin, Félix P. Kuhn, David W. Crook and Niklaus Schaefer. Their work appears in journals such as Radiology, European Journal of Nuclear Medicine and Molecular Imaging, European Radiology, Molecular Imaging and Biology and Journal of Nuclear Medicine.

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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