Fons van der Sommen

3.2k citations
130 papers · 1.6k indexed · 1 hit paper · h-index 19
Topics
Esophageal Cancer Research and Treatment (50 papers)Colorectal Cancer Screening and Detection (47 papers)Radiomics and Machine Learning in Medical Imaging (34 papers)
Journals
SHILAP Revista de lepidopterologíaGastroenterologyGut

In The Last Decade

Fons van der Sommen

111 papers receiving 1.6k citations

Hit Papers

Deep-Learning System Detects Neoplasia in Patients With B...2019202620212023201950100150200

Peers

Fons van der Sommen
Comparison fields: 5 of 93
  • Pulmonary and Respiratory Medicine 859
  • Surgery 806
  • Oncology 633
  • Radiology, Nuclear Medicine and Imaging 534
  • Artificial Intelligence 220
Replace Keigo Matsuo with:
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Kazuharu Aoyama Japan
Xiaogang Liu China
Yusuke Horiuchi Japan
Masashi Misawa Japan
Maria Vakalopoulou France
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Farzad Khalvati Canada
Fons van der Sommen relative to Keigo Matsuo Japan Keigo Matsuo's profile →
Citations per field
00.5×4.6×
Keigo Matsuo · 1×
Citations per year

Countries citing papers authored by Fons van der Sommen

Since Specialization
Citations

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

Fields of papers citing papers by Fons van der Sommen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fons van der Sommen. 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 Fons van der Sommen. The network helps show where Fons van der Sommen may publish in the future.

Co-authorship network of co-authors of Fons van der Sommen

This figure shows the co-authorship network connecting the top 25 collaborators of Fons van der Sommen. A scholar is included among the top collaborators of Fons van der Sommen 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 Fons van der Sommen. Fons van der Sommen 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 2
2 0
3 0
4 1
5 0
6 0
7 2
8 1
9 2
10 0
11 0
12 1
13 2
14 9
15 3
16 28
17 50
18 49
19 86
20 92

About Fons van der Sommen

Fons van der Sommen is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Health Informatics, having authored 130 papers that have together received 1.6k indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (50 papers), Colorectal Cancer Screening and Detection (47 papers) and Radiomics and Machine Learning in Medical Imaging (34 papers). The work is most often cited by research in Health Informatics (85 citations), Pulmonary and Respiratory Medicine (859 citations) and Gastroenterology (134 citations). Fons van der Sommen has collaborated with scholars based in Netherlands, Germany and Belgium. Frequent co-authors include Erik J. Schoon, Peter H. N. de With, Wouter L. Curvers, Jacques Bergman, Svitlana Zinger, Maarten R. Struyvenberg, Joost van der Putten, Sveta Zinger, Raf Bisschops and Peter H. de With. Their work appears in journals such as SHILAP Revista de lepidopterología, Gastroenterology and Gut.

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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