Thomas Tolxdorff

85 papers receiving 637 citations

Peers

Thomas Tolxdorff
Comparison fields: 5 of 116
  • Radiology, Nuclear Medicine and Imaging 314
  • Computer Vision and Pattern Recognition 131
  • Biomedical Engineering 115
  • Artificial Intelligence 96
  • Computer Networks and Communications 79
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Countries citing papers authored by Thomas Tolxdorff

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Tolxdorff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Tolxdorff

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Tolxdorff. A scholar is included among the top collaborators of Thomas Tolxdorff 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 Thomas Tolxdorff. Thomas Tolxdorff 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
#WorkIndexed citations
1
Information Extraction from German Patient Records via Hybrid Parsing and Relation Extraction Strategies
5
2
Automatic Liver Segmentation in Contrast-enhanced MRI.
3
3 4
4
Bildverarbeitung fr die Medizin 2008: Algorithmen - Systeme - Anwendungen (Informatik aktuell)
2
5 15
6 2
7 2
8 5
9 6
10 8
11 45
12
Characterization of Stroke Lesions Using a Histogram-Based Data Analysis Including Diffusion- and Perfusion-Weighted Imaging.
1
13 36
14 4
15 35
16 0
17 5
18 6
19 6
20 3

About Thomas Tolxdorff

Thomas Tolxdorff is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Information Management and Computer Vision and Pattern Recognition, having authored 87 papers that have together received 675 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (14 papers), Medical Imaging Techniques and Applications (12 papers) and Medical Image Segmentation Techniques (12 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (314 citations), Information Systems and Management (53 citations) and Computer Vision and Pattern Recognition (131 citations). Thomas Tolxdorff has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Johannes Bernarding, Heinz Handels, K. Gersonde, Dagmar Krefting, Jürgen Braun, Thomas M. Deserno, Hans‐Peter Meinzer, B. Ströbel, Mathias Hoehn‐Berlage and Gunther Schadow. Their work appears in journals such as Annals of the New York Academy of Sciences, Magnetic Resonance in Medicine and BioMed Research International.

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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