Matthias J. Ehrhardt

1.5k total citations
46 papers, 719 citations indexed

About

Matthias J. Ehrhardt is a scholar working on Radiology, Nuclear Medicine and Imaging, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Matthias J. Ehrhardt has authored 46 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiology, Nuclear Medicine and Imaging, 21 papers in Computational Mechanics and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Matthias J. Ehrhardt's work include Medical Imaging Techniques and Applications (22 papers), Sparse and Compressive Sensing Techniques (19 papers) and Advanced MRI Techniques and Applications (13 papers). Matthias J. Ehrhardt is often cited by papers focused on Medical Imaging Techniques and Applications (22 papers), Sparse and Compressive Sensing Techniques (19 papers) and Advanced MRI Techniques and Applications (13 papers). Matthias J. Ehrhardt collaborates with scholars based in United Kingdom, Germany and Australia. Matthias J. Ehrhardt's co-authors include Simon Arridge, Carola‐Bibiane Schönlieb, Marta M. Betcke, Kris Thielemans, David Atkinson, Brian F. Hutton, Sébastien Ourselin, Paweł Markiewicz, Luis Pizarro and Antonin Chambolle and has published in prestigious journals such as Advanced Energy Materials, IEEE Transactions on Image Processing and Magnetic Resonance in Medicine.

In The Last Decade

Matthias J. Ehrhardt

40 papers receiving 689 citations

Peers

Matthias J. Ehrhardt
Comparison fields: 5 of 71
  • Radiology, Nuclear Medicine and Imaging 429
  • Computational Mechanics 184
  • Biomedical Engineering 173
  • Computer Vision and Pattern Recognition 132
  • Radiation 89
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Citations per field, relative to Matthias J. Ehrhardt
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Citations per year, relative to Matthias J. Ehrhardt
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Countries citing papers authored by Matthias J. Ehrhardt

Since Specialization
Citations

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

Fields of papers citing papers by Matthias J. Ehrhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthias J. Ehrhardt. 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 Matthias J. Ehrhardt. The network helps show where Matthias J. Ehrhardt may publish in the future.

Co-authorship network of co-authors of Matthias J. Ehrhardt

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias J. Ehrhardt. A scholar is included among the top collaborators of Matthias J. Ehrhardt 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 Matthias J. Ehrhardt. Matthias J. Ehrhardt 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 0
2 1
3 0
4 0
5 0
6 0
7 5
8 16
9 34
10 2
11 16
12 11
13 13
14 9
15 2
16 13
17 8
18 26
19 32
20 17

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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