Simon Andreas Keek

1.1k citations
16 papers · 794 · 1 hit paper · h-index 12

Impact in

Papers in

Simon Andreas Keek

16 papers receiving 781 citations

Simon Andreas Keek's Hit Papers

Radiomics: from qualitative to quantitative imaging 2020 · 273 citations
2730+2+4Years since publication50100150200250

Peers

Simon Andreas Keek
Comparison fields: 5 of 69
  • Health Informatics 79
  • Radiology, Nuclear Medicine and Imaging 491
  • Otorhinolaryngology 23
  • Health Information Management 32
  • Artificial Intelligence 94
Replace Fadila Zerka with:
Fadila Zerka Netherlands
Stephan Ellmann Germany
Lianzhen Zhong China
Xenia J. Fave United States
Mario Jreige Switzerland
Bingxi He China
Iñigo Bermejo Netherlands
Pamela Causa Andrieu United States
Sae‐Ryung Kang South Korea
Simon Andreas Keek relative to Fadila Zerka Netherlands Fadila Zerka's profile →
Citations per field
00.5×2×2.9×
Fadila Zerka · 1×
Citations per year

Countries citing papers authored by Simon Andreas Keek

Since Specialization
Citations

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

Fields of papers citing papers by Simon Andreas Keek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon Andreas Keek. 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 Simon Andreas Keek. The network helps show where Simon Andreas Keek may publish in the future.

Co-authors

The 25 scholars most cited alongside Simon Andreas Keek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Simon Andreas Keek Line = papers co-authored together Simon Andreas Keek links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
Radiomics: from qualitative to quantitative imaging
Hit paper breakdown →
2020273
2 2019110
3 2022107
4 201862
5 202051
6 201947
7 202039
8 202024
9 202121
10 202120
11 202014
12 202212
13 20229
14 20243
15 20221
16 20241

About Simon Andreas Keek

Simon Andreas Keek is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics, Computer Vision and Pattern Recognition, Otorhinolaryngology and Radiation, having authored 16 papers that have together received 794 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (11 papers), Medical Image Segmentation Techniques (2 papers), Advanced Radiotherapy Techniques (1 paper), Artificial Intelligence in Healthcare and Education (1 paper), Head and Neck Cancer Studies (1 paper), Cell death mechanisms and regulation (1 paper) and AI in cancer detection (1 paper). The work is most often cited by research in Health Informatics (79 citations), Radiology, Nuclear Medicine and Imaging (491 citations), Otorhinolaryngology (23 citations), Health Information Management (32 citations) and Artificial Intelligence (94 citations). Simon Andreas Keek has collaborated with scholars based in Netherlands, Germany and Italy. Frequent co-authors include Henry C. Woodruff, Philippe Lambin, Abdalla Ibrahim, Sebastian Sanduleanu, Turkey Refaee, Ralph T. H. Leijenaar, Janita E. van Timmeren, Sergey P. Primakov, Arthur Jochems and Renée W. Y. Granzier. Their work appears in journals such as British Journal of Radiology, Cancers, Scientific Reports, Nature Communications and Therapeutic Advances in Medical Oncology.

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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