Stephan G. Erberich

1.5k total citations
23 papers, 1.1k citations indexed

About

Stephan G. Erberich is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Stephan G. Erberich has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 10 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Artificial Intelligence. Recurrent topics in Stephan G. Erberich's work include Advanced MRI Techniques and Applications (9 papers), Functional Brain Connectivity Studies (7 papers) and Neural Networks and Applications (5 papers). Stephan G. Erberich is often cited by papers focused on Advanced MRI Techniques and Applications (9 papers), Functional Brain Connectivity Studies (7 papers) and Neural Networks and Applications (5 papers). Stephan G. Erberich collaborates with scholars based in Germany and United States. Stephan G. Erberich's co-authors include Timo Krings, Klaus Willmes, A. Thron, Thomas Dietrich, Henning Saß, Sabine C. Herpertz, Marvin D. Nelson, Philippe Friedlich, István Seri and Roland Sparing and has published in prestigious journals such as NeuroImage, Biological Psychiatry and Radiology.

In The Last Decade

Stephan G. Erberich

21 papers receiving 1.1k citations

Peers

Stephan G. Erberich
Comparison fields: 5 of 84
  • Cognitive Neuroscience 466
  • Clinical Psychology 344
  • Psychiatry and Mental health 212
  • Radiology, Nuclear Medicine and Imaging 174
  • Pediatrics, Perinatology and Child Health 151
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Citations per field, relative to Stephan G. Erberich
Stephan G. Erberich · 1×
Citations per year, relative to Stephan G. Erberich
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Countries citing papers authored by Stephan G. Erberich

Since Specialization
Citations

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

Fields of papers citing papers by Stephan G. Erberich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephan G. Erberich. 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 Stephan G. Erberich. The network helps show where Stephan G. Erberich may publish in the future.

Co-authorship network of co-authors of Stephan G. Erberich

This figure shows the co-authorship network connecting the top 25 collaborators of Stephan G. Erberich. A scholar is included among the top collaborators of Stephan G. Erberich 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 Stephan G. Erberich. Stephan G. Erberich 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 4
2 2
3 3
4
Globus MEDICUS - federation of DICOM medical imaging devices into healthcare Grids.
39
5 1
6 77
7 50
8 59
9 4
10 1
11 176
12 374
13 2
14 0
15 213
16 50
17
MR blood oxygenation level-dependent signal differences in parenchymal and large draining vessels: implications for functional MR imaging.
41
18 1
19 1
20 2

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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