Dag Wormanns

2.9k citations
77 papers · 2.3k indexed · h-index 26
Topics
Lung Cancer Diagnosis and Treatment (57 papers)Radiomics and Machine Learning in Medical Imaging (34 papers)Medical Imaging Techniques and Applications (32 papers)

In The Last Decade

Dag Wormanns

72 papers receiving 2.2k citations

Peers

Dag Wormanns
Comparison fields: 5 of 91
  • Pulmonary and Respiratory Medicine 1.6k
  • Radiology, Nuclear Medicine and Imaging 1.6k
  • Biomedical Engineering 255
  • Oncology 170
  • Surgery 142
Replace Stefan Diederich with:
Stefan Diederich Germany
Yun‐Chung Cheung Taiwan
Walter De Wever Belgium
Hyun Ju Lee South Korea
Koichi Kawanaka Japan
Klaus Bacher Belgium
Silvia D. Chang Canada
Valeria Panebianco Italy
Kazuyoshi Suga Japan
Dag Wormanns relative to Stefan Diederich Germany Stefan Diederich's profile →
Citations per field
00.5×1.5×
Stefan Diederich · 1×
Citations per year

Countries citing papers authored by Dag Wormanns

Since Specialization
Citations

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

Fields of papers citing papers by Dag Wormanns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dag Wormanns

This figure shows the co-authorship network connecting the top 25 collaborators of Dag Wormanns. A scholar is included among the top collaborators of Dag Wormanns 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 Dag Wormanns. Dag Wormanns 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 6
2 1
3 73
4 4
5 29
6 233
7 37
8 1
9 27
10 9
11 39
12 52
13 11
14 13
15 11
16 1
17 3
18 22
19 52
20 60

About Dag Wormanns

Dag Wormanns is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Critical Care and Intensive Care Medicine, having authored 77 papers that have together received 2.3k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (57 papers), Radiomics and Machine Learning in Medical Imaging (34 papers) and Medical Imaging Techniques and Applications (32 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.6k citations), Pulmonary and Respiratory Medicine (1.6k citations) and Radiation (106 citations). Dag Wormanns has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Stefan Diederich, Walter Heindel, Horst Lenzen, Michael Thomas, M Semik, Florian Beyer, N. Roos, Jan‐Martin Kuhnigk, Lars Bornemann and Volker Dicken. Their work appears in journals such as Journal of Clinical Oncology, Cancer and Radiology.

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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