Françoise J. Siepel

901 citations
39 papers · 621 indexed · h-index 15
Topics
Soft Robotics and Applications (13 papers)Ultrasound Imaging and Elastography (11 papers)Advanced Radiotherapy Techniques (7 papers)
Partner nations
NetherlandsRussiaItaly

In The Last Decade

Françoise J. Siepel

36 papers receiving 612 citations

Peers

Françoise J. Siepel
Comparison fields: 5 of 84
  • Biomedical Engineering 273
  • Neurology 151
  • Radiology, Nuclear Medicine and Imaging 134
  • Surgery 109
  • Psychiatry and Mental health 85
Replace Vairavan Narayanan with:
Vairavan Narayanan Malaysia
Hajime Sakamoto Japan
Lichi Zhang China
Silvain Bériault Canada
Jonathan Tang United States
Shyamal Patel United States
Tainsong Chen Taiwan
Matthias Wilms Canada
Lotta M. Ellingsen United States
John Drace United States
Françoise J. Siepel relative to Vairavan Narayanan Malaysia Vairavan Narayanan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Françoise J. Siepel

Since Specialization
Citations

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

Fields of papers citing papers by Françoise J. Siepel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Françoise J. Siepel. 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 Françoise J. Siepel. The network helps show where Françoise J. Siepel may publish in the future.

Co-authorship network of co-authors of Françoise J. Siepel

This figure shows the co-authorship network connecting the top 25 collaborators of Françoise J. Siepel. A scholar is included among the top collaborators of Françoise J. Siepel 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 Françoise J. Siepel. Françoise J. Siepel 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 3
3 4
4 0
5 2
6 8
7 5
8 35
9 7
10 42
11 1
12 3
13 8
14 4
15 20
16 26
17 67
18 40
19 3
20 76

About Françoise J. Siepel

Françoise J. Siepel is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 39 papers that have together received 621 indexed citations. Recurring topics across this work include Soft Robotics and Applications (13 papers), Ultrasound Imaging and Elastography (11 papers) and Advanced Radiotherapy Techniques (7 papers). The work is most often cited by research in Neurology (151 citations), Radiation (72 citations) and Biomedical Engineering (273 citations). Françoise J. Siepel has collaborated with scholars based in Netherlands, Russia and Italy. Frequent co-authors include Stefano Stramigioli, Vincent Groenhuis, Jeroen Veltman, Dag Aarsland, Jan Booij, Clive Ballard, Arvid Rongve, Renate Grüner, Kolbjørn Brønnick and Bogdan Maris. Their work appears in journals such as IEEE Transactions on Medical Imaging, Movement Disorders and Medical Physics.

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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