Sylvia Schmidt

581 citations
15 papers · 457 · h-index 7

Impact in

Papers in

Sylvia Schmidt

15 papers receiving 435 citations

Peers

Sylvia Schmidt
Comparison fields: 5 of 56
  • Radiation 96
  • Radiology, Nuclear Medicine and Imaging 185
  • Pulmonary and Respiratory Medicine 145
  • Otorhinolaryngology 16
  • Statistics and Probability 32
Replace Amit Jethanandani with:
Amit Jethanandani United States
Pin Li United States
Edoardo Bottoni Italy
Charlie H. Goldsmith Canada
Christos Melidis Belgium
Peijin Han United States
T Matsumoto Japan
David Skarsgard Canada
Michelle Leech Ireland
David Minarik Sweden
Sylvia Schmidt relative to Amit Jethanandani United States Amit Jethanandani's profile →
Citations per field
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Amit Jethanandani · 1×
Citations per year

Countries citing papers authored by Sylvia Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Sylvia Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1999283
2
Somatostatin receptor scintigraphy in small-cell lung cancer: results of a multicenter study.
199871
3 201632
4 200717
5 20189
6 20148
7 20157
8 20146
9 20165
10 20115
11 20024
12
Das parabolische Anderson-Modell mit Be- und Entschleunigung
20104
13
[Diagnostic value of somatostatin receptor scintigraphy with indium-111 pentetreotide in small-cell bronchial carcinoma].
19983
14 20222
15 20191

About Sylvia Schmidt

Sylvia Schmidt is a scholar working on Statistics and Probability, Pulmonary and Respiratory Medicine, Computational Theory and Mathematics, Psychiatry and Mental health and Numerical Analysis, having authored 15 papers that have together received 457 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (5 papers), Advanced Causal Inference Techniques (2 papers), Dementia and Cognitive Impairment Research (2 papers), Statistical Methods and Bayesian Inference (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Stochastic processes and financial applications (1 paper) and Lung Cancer Research Studies (1 paper). The work is most often cited by research in Radiation (96 citations), Radiology, Nuclear Medicine and Imaging (185 citations), Pulmonary and Respiratory Medicine (145 citations), Otorhinolaryngology (16 citations) and Statistics and Probability (32 citations). Sylvia Schmidt has collaborated with scholars based in Germany. Frequent co-authors include D. Ukena, Gerhard W. Sybrecht, Carsten Nieder, B Motaref, D. Hellwig, Norbert Licht, Marcus Niewald, Carl M. Kirsch, Karin Walter and Ursula Nestle. Their work appears in journals such as Statistics in Medicine, Aging & Mental Health, Nuklearmedizin - NuclearMedicine, Biometrical Journal and Neurocritical Care.

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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