Christine Largeron

169 total papers · 1.0k total citations
33 papers, 293 citations indexed

About

Christine Largeron is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Christine Largeron has authored 33 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 10 papers in Information Systems and 7 papers in Computer Networks and Communications. Recurrent topics in Christine Largeron's work include Complex Network Analysis Techniques (7 papers), Advanced Graph Neural Networks (5 papers) and Information Retrieval and Search Behavior (5 papers). Christine Largeron is often cited by papers focused on Complex Network Analysis Techniques (7 papers), Advanced Graph Neural Networks (5 papers) and Information Retrieval and Search Behavior (5 papers). Christine Largeron collaborates with scholars based in France, Canada and Spain. Christine Largeron's co-authors include Mathias Géry, Osmar R. Zaı̈ane, Stéphane Bonnevay, Martin Atzmueller, Sabrina Gaito, Rushed Kanawati, Véronique Églin, Roberto Interdonato, Alessandra Sala and Christophe García and has published in prestigious journals such as PLoS ONE, IEEE Access and Pattern Recognition.

In The Last Decade

Christine Largeron

28 papers receiving 279 citations

Author Peers

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

Author						Papers	Cites
Christine Largeron	140	87	81	60	37	33	293
Hadi Zare	188 1.3×	67 0.8×	109 1.3×	57 0.9×	36 1.0×	28	306
Yao Li	117 0.8×	57 0.7×	70 0.9×	48 0.8×	55 1.5×	39	287
Tara Safavi	224 1.6×	84 1.0×	88 1.1×	48 0.8×	53 1.4×	20	314
Ana Paula Appel	108 0.8×	94 1.1×	71 0.9×	59 1.0×	48 1.3×	26	272
Sherine Rady	192 1.4×	52 0.6×	30 0.4×	129 2.1×	46 1.2×	56	358
Vincent Labatut	90 0.6×	40 0.5×	166 2.0×	42 0.7×	36 1.0×	35	307
Sanasam Ranbir Singh	220 1.6×	33 0.4×	83 1.0×	66 1.1×	36 1.0×	59	323
Xinyue Liu	126 0.9×	83 1.0×	72 0.9×	89 1.5×	37 1.0×	27	297
Shaikh Arifuzzaman	106 0.8×	97 1.1×	134 1.7×	29 0.5×	87 2.4×	25	283
Yuxin Dong	146 1.0×	69 0.8×	60 0.7×	100 1.7×	58 1.6×	48	322

Countries citing papers authored by Christine Largeron

Since Specialization

Citations

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

Fields of papers citing papers by Christine Largeron

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christine Largeron

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