Aïcha BenTaieb

1.2k citations
11 papers · 495 indexed · h-index 8
Topics
AI in cancer detection (6 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)Medical Imaging Techniques and Applications (2 papers)

In The Last Decade

Aïcha BenTaieb

11 papers receiving 480 citations

Peers

Aïcha BenTaieb
Comparison fields: 5 of 68
  • Artificial Intelligence 331
  • Oncology 198
  • Computer Vision and Pattern Recognition 168
  • Radiology, Nuclear Medicine and Imaging 161
  • Epidemiology 65
Replace Ebrahim Nasr-Esfahani with:
Ebrahim Nasr-Esfahani Iran
Jinman Kim Australia
Susanne Melchers Germany
Mostafa Jahanifar United Kingdom
Quirine F. Manson Netherlands
Yushan Zheng China
Nazia Hameed United Kingdom
Marcory van Dijk Netherlands
Monjoy Saha India
John‐Melle Bokhorst Netherlands
Aïcha BenTaieb relative to Ebrahim Nasr-Esfahani Iran Ebrahim Nasr-Esfahani's profile →
Citations per field
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Ebrahim Nasr-Esfahani · 1×
Citations per year

Countries citing papers authored by Aïcha BenTaieb

Since Specialization
Citations

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

Fields of papers citing papers by Aïcha BenTaieb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aïcha BenTaieb

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 3
2 5
3 7
4 21
5 9
6 17
7 47
8 146
9 11
10 208
11 21

About Aïcha BenTaieb

Aïcha BenTaieb is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cancer Research, having authored 11 papers that have together received 495 indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Artificial Intelligence (331 citations), Biophysics (53 citations) and Computer Vision and Pattern Recognition (168 citations). Aïcha BenTaieb has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Ghassan Hamarneh, Jeremy Kawahara, Hector Li-Chang, David Huntsman, Aly A. Khan, Denise Lau, Tim Rand, David G. Huntsman, Zahra Mirikharaji and Ameen A. Salahudeen. Their work appears in journals such as Nature Communications, American Journal Of Pathology and IEEE Transactions on Medical Imaging.

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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