Ramona Woitek

3.6k citations
88 papers · 2.0k indexed · h-index 26
Topics
Radiomics and Machine Learning in Medical Imaging (26 papers)MRI in cancer diagnosis (25 papers)AI in cancer detection (16 papers)

In The Last Decade

Ramona Woitek

83 papers receiving 1.9k citations

Peers

Ramona Woitek
Comparison fields: 5 of 121
  • Radiology, Nuclear Medicine and Imaging 1.1k
  • Artificial Intelligence 276
  • Pulmonary and Respiratory Medicine 248
  • Biomedical Engineering 230
  • Pathology and Forensic Medicine 203
Replace Felix Nensa with:
Felix Nensa Germany
Manisha Palta United States
David Landau United Kingdom
So Lyung Jung South Korea
Virendra Kumar India
Floris H. P. van Velden Netherlands
Pierre Decazes France
Valerio Nardone Italy
Arnoldo Piccardo Italy
Kenji Hirata Japan
Ramona Woitek relative to Felix Nensa Germany Felix Nensa's profile →
Citations per field
00.5×2.7×
Felix Nensa · 1×
Citations per year

Countries citing papers authored by Ramona Woitek

Since Specialization
Citations

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

Fields of papers citing papers by Ramona Woitek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramona Woitek

This figure shows the co-authorship network connecting the top 25 collaborators of Ramona Woitek. A scholar is included among the top collaborators of Ramona Woitek 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 Ramona Woitek. Ramona Woitek 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 0
2 1
3 5
4 1
5 6
6 14
7 2
8 2
9 3
10 3
11 11
12 12
13 13
14 10
15 5
16 9
17 41
18 2
19 21
20 3

About Ramona Woitek

Ramona Woitek is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Pathology and Forensic Medicine, having authored 88 papers that have together received 2.0k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (26 papers), MRI in cancer diagnosis (25 papers) and AI in cancer detection (16 papers). The work is most often cited by research in Health Informatics (77 citations), Radiology, Nuclear Medicine and Imaging (1.1k citations) and Geriatrics and Gerontology (88 citations). Ramona Woitek has collaborated with scholars based in Austria, United Kingdom and Italy. Frequent co-authors include Panagiotis Kapetas, Pascal Baltzer, Katja Pinker, Thomas H. Helbich, Daniela Prayer, Julia Furtner, Paola Clauser, Ulrika Asenbaum, Ferdia A. Gallagher and Veronika Schöpf. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and Scientific Reports.

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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