Karin Dembrower

1.2k citations
16 papers · 763 indexed · h-index 10
Topics
AI in cancer detection (14 papers)Radiomics and Machine Learning in Medical Imaging (8 papers)Global Cancer Incidence and Screening (8 papers)
Partner nations
SwedenGermanySpain

In The Last Decade

Karin Dembrower

16 papers receiving 737 citations

Peers

Karin Dembrower
Comparison fields: 5 of 64
  • Artificial Intelligence 596
  • Radiology, Nuclear Medicine and Imaging 520
  • Health Informatics 276
  • Oncology 187
  • Pulmonary and Respiratory Medicine 166
Replace Arash Mohtashamian with:
Arash Mohtashamian United States
Hanna Sartor Sweden
Andrew Zhang United States
Anna-Maria Larsson Sweden
Ray C. Mayo United States
Aurelia Bustos Spain
Sebastian Ziegelmayer Germany
Peter Truszkowski United States
Manuela Vecsler United States
John Maddison United Kingdom
Karin Dembrower relative to Arash Mohtashamian United States Arash Mohtashamian's profile →
Citations per field
00.5×10×15×19×
Arash Mohtashamian · 1×
Citations per year

Countries citing papers authored by Karin Dembrower

Since Specialization
Citations

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

Fields of papers citing papers by Karin Dembrower

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karin Dembrower

This figure shows the co-authorship network connecting the top 25 collaborators of Karin Dembrower. A scholar is included among the top collaborators of Karin Dembrower 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 Karin Dembrower. Karin Dembrower is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 5
2 10
3 13
4 154
5 1
6 4
7 8
8 18
9 2
10 180
11 1
12 176
13 27
14 48
15 107
16 9

About Karin Dembrower

Karin Dembrower is a scholar working on Health Informatics, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 763 indexed citations. Recurring topics across this work include AI in cancer detection (14 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Global Cancer Incidence and Screening (8 papers). The work is most often cited by research in Health Informatics (276 citations), Radiology, Nuclear Medicine and Imaging (520 citations) and Artificial Intelligence (596 citations). Karin Dembrower has collaborated with scholars based in Sweden, Germany and Spain. Frequent co-authors include Fredrik Strand, Martin Eklund, Peter Lindholm, Kevin Smith, Yue Liu, Erik Wåhlin, Alessio Crippa, Eugenia Colón, Theodoros Foukakis and Edward Azavedo. Their work appears in journals such as Radiology, Breast Cancer Research and Treatment and BMJ Open.

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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