Magali Barbier

50 total papers · 523 total citations
33 papers, 328 citations indexed

About

Magali Barbier is a scholar working on Artificial Intelligence, Molecular Biology and Computer Networks and Communications. According to data from OpenAlex, Magali Barbier has authored 33 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Molecular Biology and 6 papers in Computer Networks and Communications. Recurrent topics in Magali Barbier's work include AI-based Problem Solving and Planning (10 papers), Robotic Path Planning Algorithms (6 papers) and Acute Myeloid Leukemia Research (5 papers). Magali Barbier is often cited by papers focused on AI-based Problem Solving and Planning (10 papers), Robotic Path Planning Algorithms (6 papers) and Acute Myeloid Leukemia Research (5 papers). Magali Barbier collaborates with scholars based in France, United States and Austria. Magali Barbier's co-authors include Xavier Ronot, Jean Boutonnât, Ahcène Boumendjel, Anne‐Marie Mariotte, Charles Lesire, Katharine A. Muirhead, D Seigneurin, M Mousseau, Thibault Gateau and Catherine Chabot and has published in prestigious journals such as Brain, Journal of Medicinal Chemistry and BMC Cancer.

In The Last Decade

Magali Barbier

27 papers receiving 315 citations

Author Peers

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

Author						Papers	Cites
Magali Barbier	120	63	52	47	39	33	328
Xiao Xiong	203 1.7×	40 0.6×	33 0.6×	70 1.5×	16 0.4×	22	338
Mingyue Li	87 0.7×	28 0.4×	63 1.2×	10 0.2×	14 0.4×	51	346
M. Rajasekhar Reddy	207 1.7×	56 0.9×	39 0.8×	20 0.4×	13 0.3×	16	365
Ying Yin	128 1.1×	19 0.3×	50 1.0×	10 0.2×	13 0.3×	33	348
Yuhui Zhang	109 0.9×	21 0.3×	17 0.3×	20 0.4×	18 0.5×	26	298
Jian Ding	108 0.9×	47 0.7×	46 0.9×	13 0.3×	39 1.0×	39	314
Marwah Suliman Maashi	109 0.9×	26 0.4×	45 0.9×	20 0.4×	21 0.5×	20	346
Qizheng Sun	152 1.3×	38 0.6×	31 0.6×	102 2.2×	8 0.2×	12	363
Robert Johnson	40 0.3×	27 0.4×	30 0.6×	46 1.0×	17 0.4×	16	315
Honghan Zhang	53 0.4×	48 0.8×	27 0.5×	12 0.3×	7 0.2×	40	291

Countries citing papers authored by Magali Barbier

Since Specialization

Citations

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

Fields of papers citing papers by Magali Barbier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Magali Barbier

This figure shows the co-authorship network connecting the top 25 collaborators of Magali Barbier. A scholar is included among the top collaborators of Magali Barbier 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 Magali Barbier. Magali Barbier 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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