Matthias Dietzel

3.7k total citations
108 papers, 2.5k citations indexed

About

Matthias Dietzel is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Matthias Dietzel has authored 108 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Radiology, Nuclear Medicine and Imaging, 30 papers in Pathology and Forensic Medicine and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Matthias Dietzel's work include MRI in cancer diagnosis (84 papers), Radiomics and Machine Learning in Medical Imaging (69 papers) and Advanced MRI Techniques and Applications (36 papers). Matthias Dietzel is often cited by papers focused on MRI in cancer diagnosis (84 papers), Radiomics and Machine Learning in Medical Imaging (69 papers) and Advanced MRI Techniques and Applications (36 papers). Matthias Dietzel collaborates with scholars based in Germany, Austria and United States. Matthias Dietzel's co-authors include Pascal Baltzer, Werner A. Kaiser, Mieczysław Gajda, Oumar Camara, Tibor Vág, Matthias Benndorf, H Burmeister, Paola Clauser, Clemens G. Kaiser and Ingo B. Runnebaum and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Matthias Dietzel

104 papers receiving 2.4k citations

Peers

Matthias Dietzel
Comparison fields: 5 of 92
  • Radiology, Nuclear Medicine and Imaging 2.1k
  • Pathology and Forensic Medicine 664
  • Cancer Research 283
  • Artificial Intelligence 259
  • Pulmonary and Respiratory Medicine 186
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Kyu Ran Cho South Korea
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Mami Iima Japan
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Citations per field, relative to Matthias Dietzel
Matthias Dietzel · 1×
Citations per year, relative to Matthias Dietzel
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Countries citing papers authored by Matthias Dietzel

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Dietzel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Dietzel

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Dietzel. A scholar is included among the top collaborators of Matthias Dietzel 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 Dietzel. Matthias Dietzel 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 8
4 2
5 2
6 11
7 0
8 6
9 56
10 10
11 2
12 17
13 23
14 2
15 3
16 10
17 35
18 18
19 32
20 110

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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