Christine Largeron

1.0k total citations
33 papers, 294 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 294 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), Information Retrieval and Search Behavior (5 papers) and Data Management and Algorithms (5 papers). Christine Largeron is often cited by papers focused on Complex Network Analysis Techniques (7 papers), Information Retrieval and Search Behavior (5 papers) and Data Management and Algorithms (5 papers). Christine Largeron collaborates with scholars based in France, Canada and United States. Christine Largeron's co-authors include Mathias Géry, Osmar R. Zaı̈ane, Stéphane Bonnevay, Sabrina Gaito, Alessandra Sala, Véronique Églin, Martin Atzmueller, Rushed Kanawati, Roberto Interdonato 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 280 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Christine Largeron France 10 140 87 81 60 37 33 294
Tara Safavi United States 8 226 1.6× 84 1.0× 89 1.1× 49 0.8× 53 1.4× 20 318
Sherine Rady Egypt 10 193 1.4× 53 0.6× 30 0.4× 131 2.2× 47 1.3× 56 364
Nian Liu China 7 316 2.3× 69 0.8× 97 1.2× 147 2.5× 31 0.8× 9 372
Sanasam Ranbir Singh India 10 223 1.6× 34 0.4× 84 1.0× 66 1.1× 36 1.0× 61 326
Sandro Cavallari Singapore 6 387 2.8× 84 1.0× 199 2.5× 63 1.1× 48 1.3× 8 500
Mohit Kumar India 3 138 1.0× 28 0.3× 112 1.4× 80 1.3× 36 1.0× 5 228
Yanhong Wu Hong Kong 8 102 0.7× 156 1.8× 72 0.9× 21 0.3× 17 0.5× 10 243
Disha Makhija United States 2 162 1.2× 25 0.3× 126 1.6× 90 1.5× 42 1.1× 2 251
Yuntao Jia United States 8 117 0.8× 153 1.8× 144 1.8× 71 1.2× 43 1.2× 14 352
Vincent Labatut France 12 85 0.6× 35 0.4× 143 1.8× 34 0.6× 29 0.8× 34 278

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

20 of 20 papers shown
1.
Largeron, Christine, et al.. (2024). SENSE-LM : A Synergy between a Language Model and Sensorimotor Representations for Auditory and Olfactory Information Extraction. SPIRE - Sciences Po Institutional REpository. 1695–1711. 1 indexed citations
2.
Trabelsi, Amine, et al.. (2024). Uncovering Flat and Hierarchical Topics by Community Discovery on Word Co-occurrence Network. Data Science and Engineering. 9(1). 41–61. 4 indexed citations
4.
Labatut, Vincent, et al.. (2023). FOPPA: an open database of French public procurement award notices from 2010–2020. Scientific Data. 10(1). 303–303. 4 indexed citations
5.
Jeudy, Baptiste, et al.. (2023). Suspicious: a Resilient Semi-Supervised Framework for Graph Fraud Detection. SPIRE - Sciences Po Institutional REpository. 212–220.
6.
Largeron, Christine, et al.. (2023). Fast local community discovery relying on the strength of links. Social Network Analysis and Mining. 13(1). 3 indexed citations
7.
Largeron, Christine, et al.. (2021). Enhanced Word Embedding Variations for the Detection of Substance Abuse and Mental Health Issues on Social Media Writings. IEEE Access. 9. 130449–130471. 14 indexed citations
8.
Géry, Mathias, et al.. (2016). Personalized information retrieval models integrating the user's profile. HAL (Le Centre pour la Communication Scientifique Directe). 1–9. 4 indexed citations
9.
Largeron, Christine, et al.. (2015). Generating Attributed Networks with Communities. PLoS ONE. 10(4). e0122777–e0122777. 33 indexed citations
10.
Largeron, Christine, et al.. (2014). UJM at CLEF in Author Verification based on optimized classification trees. HAL (Le Centre pour la Communication Scientifique Directe). 5 indexed citations
11.
Largeron, Christine, et al.. (2014). UJM at CLEF in Author Identification Notebook for PAN at CLEF 2014.. CLEF (Working Notes). 1042–1048. 7 indexed citations
12.
Géry, Mathias, et al.. (2014). Integrating user's profile in the query model for Social Information Retrieval. 1–2. 4 indexed citations
13.
Géry, Mathias, et al.. (2014). Using proximity and tag weights for focused retrieval in structured documents. Knowledge and Information Systems. 44(1). 51–76. 2 indexed citations
14.
Wang, Peng, Véronique Églin, Christophe García, et al.. (2014). A Coarse-to-Fine Word Spotting Approach for Historical Handwritten Documents Based on Graph Embedding and Graph Edit Distance. 3074–3079. 16 indexed citations
15.
Géry, Mathias, et al.. (2013). Modèle de Recherche d'Information Sociale Centré Utilisateur. HAL (Le Centre pour la Communication Scientifique Directe). 275–286. 1 indexed citations
16.
Largeron, Christine, et al.. (2013). ToTeM: une méthode de détection de communautés adaptées aux réseaux d'information. HAL (Le Centre pour la Communication Scientifique Directe). 305–310. 1 indexed citations
17.
Largeron, Christine, et al.. (2010). Focused Retrieval and Evaluation. Lecture notes in computer science. 8 indexed citations
18.
Largeron, Christine, et al.. (2009). Discovering unexpected documents in corpora. Knowledge-Based Systems. 22(6). 421–429. 15 indexed citations
19.
Géry, Mathias, Christine Largeron, & Franck Thollard. (2008). Integrating Structure in the Probabilistic Model for Information Retrieval. HAL (Le Centre pour la Communication Scientifique Directe). 763–769. 2 indexed citations
20.
Largeron, Christine, et al.. (2008). La veille scientifique territoriale : mesurer les coopérations entre acteurs et territoires. Revue d’Économie Régionale & Urbaine. octobre(3). 447–466. 1 indexed citations

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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