Jacqueline Boumendil

458 citations
3 papers · 290 indexed · h-index 3
Topics
Radiomics and Machine Learning in Medical Imaging (1 paper)Cervical Cancer and HPV Research (1 paper)Breast Lesions and Carcinomas (1 paper)
Journals
Human PathologyDigital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B))DIAL (Catholic University of Leuven)
Partner nations
SwitzerlandFrance

In The Last Decade

Jacqueline Boumendil

3 papers receiving 281 citations

Peers

Jacqueline Boumendil
Comparison fields: 5 of 90
  • Materials Chemistry 71
  • Biomedical Engineering 57
  • Electrical and Electronic Engineering 41
  • Radiology, Nuclear Medicine and Imaging 35
  • Pathology and Forensic Medicine 33
Replace M. Ladisa with:
M. Ladisa Italy
A.L.C. Conceição Brazil
Shan Ding China
Niccolò Peruzzi Sweden
Kihyun Park South Korea
Frank Kahmann Germany
K. Nishijima Japan
Seon Kwan Juhng South Korea
Lasse Kling Germany
Daniele Perl‐Treves Israel
Jacqueline Boumendil relative to M. Ladisa Italy M. Ladisa's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jacqueline Boumendil

Since Specialization
Citations

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

Fields of papers citing papers by Jacqueline Boumendil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacqueline Boumendil

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

All Works

3 of 3 papers shown
#WorkIndexed citations
1 92
2 89
3 109

About Jacqueline Boumendil

Jacqueline Boumendil is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 3 papers that have together received 290 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (1 paper), Cervical Cancer and HPV Research (1 paper) and Breast Lesions and Carcinomas (1 paper). The work is most often cited by research in Structural Biology (16 citations), Metals and Alloys (10 citations) and Biophysics (16 citations). Jacqueline Boumendil has collaborated with scholars based in Switzerland and France. Frequent co-authors include G. Ehret, D. Laub, Jeanne Ayache, Luc Beaunier, M. Boudeulle, Lucien Frappart, D. Raudrant, J Féroldi and Alain Brémond. Their work appears in journals such as Human Pathology, Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) and DIAL (Catholic University of Leuven).

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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