Sophie Paquerault

36 total papers · 677 total citations
23 papers, 372 citations indexed

About

Sophie Paquerault is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Sophie Paquerault has authored 23 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 13 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Oncology. Recurrent topics in Sophie Paquerault's work include AI in cancer detection (14 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Colorectal Cancer Screening and Detection (6 papers). Sophie Paquerault is often cited by papers focused on AI in cancer detection (14 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Colorectal Cancer Screening and Detection (6 papers). Sophie Paquerault collaborates with scholars based in United States, France and Thailand. Sophie Paquerault's co-authors include Nicholas Petrick, Heang‐Ping Chan, Berkman Sahiner, Mark A. Helvie, Lubomir M. Hadjiiski, F. W. Samuelson, Marilyn A. Roubidoux, Jun Wei, Chuan Zhou and Thomas L. Chenevert and has published in prestigious journals such as Radiology, Medical Physics and Academic Radiology.

In The Last Decade

Sophie Paquerault

22 papers receiving 350 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Sophie Paquerault	257	222	134	92	78	23	372
Weihao Xie	93 0.4×	111 0.5×	58 0.4×	113 1.2×	78 1.0×	24	394
Yuan‐Hsiang Chang	327 1.3×	157 0.7×	104 0.8×	128 1.4×	104 1.3×	41	437
Radhika Sivaramakrishna	185 0.7×	191 0.9×	87 0.6×	132 1.4×	46 0.6×	14	371
Saskia van Engeland	273 1.1×	178 0.8×	216 1.6×	95 1.0×	76 1.0×	11	403
Silvia Delsanto	72 0.3×	161 0.7×	232 1.7×	53 0.6×	136 1.7×	27	436
Jiazheng Shi	220 0.9×	199 0.9×	91 0.7×	233 2.5×	27 0.3×	31	431
Anup Sadhu	153 0.6×	209 0.9×	123 0.9×	127 1.4×	23 0.3×	40	403
Nicola Altini	166 0.6×	149 0.7×	50 0.4×	100 1.1×	37 0.5×	26	333
Nasrin Ahmadinejad	146 0.6×	212 1.0×	34 0.3×	67 0.7×	28 0.4×	47	361
Nick Weiss	175 0.7×	149 0.7×	45 0.3×	104 1.1×	48 0.6×	16	349

Countries citing papers authored by Sophie Paquerault

Since Specialization

Citations

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

Fields of papers citing papers by Sophie Paquerault

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sophie Paquerault

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

All Works

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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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