Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Clinical and epidemiological characteristics of 1420 European patients with mild‐to‐moderate coronavirus disease 2019
2020561 citationsJérôme R. Lechien, Carlos M. Chiesa‐Estomba et al.Journal of Internal Medicineprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Kathy Huet'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 Kathy Huet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathy Huet more than expected).
This network shows the impact of papers produced by Kathy Huet. 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 Kathy Huet. The network helps show where Kathy Huet may publish in the future.
Co-authorship network of co-authors of Kathy Huet
This figure shows the co-authorship network connecting the top 25 collaborators of Kathy Huet.
A scholar is included among the top collaborators of Kathy Huet 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 Kathy Huet. Kathy Huet is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lechien, Jérôme R., Carlos M. Chiesa‐Estomba, Sammy Place, et al.. (2020). Clinical and epidemiological characteristics of 1420 European patients with mild‐to‐moderate coronavirus disease 2019. Journal of Internal Medicine. 288(3). 335–344.561 indexed citations breakdown →
Huang, Yizhi, Véronique Delvaux, Junkai Li, et al.. (2018). Une etude de la prononciation du francais par des apprenants sinophones.. ORBi UMONS.1 indexed citations
Delvaux, Véronique, et al.. (2016). Dynamique phonétique et contrôle moteur dans la maladie de Parkinson: analyse du contrôle de la production des glides. ORBi UMONS.
13.
Delvaux, Véronique, et al.. (2015). Teaching listening in L2: A successful training method using the word-spotting task. ORBi UMONS.2 indexed citations
14.
Lechien, Jérôme R., Véronique Delvaux, Kathy Huet, et al.. (2014). [Transgender voice and communication treatment: Review of the literature].. PubMed. 135(2). 97–103.3 indexed citations
15.
Delvaux, Véronique, Kathy Huet, Myriam Piccaluga, & Bernard Harmegnies. (2014). Phonetic compliance: a proof-of-concept study. Frontiers in Psychology. 5. 1375–1375.6 indexed citations
16.
Huet, Kathy, et al.. (2012). Childs'stuttering and motherese. Enfance. 3. 259–274.1 indexed citations
Delvaux, Véronique & Kathy Huet. (2006). Perception de la nasalité en français de Belgique: catégorisation dirigée et catégorisation libre. ORBi UMONS. 137–176.1 indexed citations
19.
Harmegnies, Bernard, Véronique Delvaux, Kathy Huet, & Myriam Piccaluga. (2005). Oralité et cognition: pour une approche raisonnée de la pédagogie du traitement de la matière phonique. ORBi UMONS. 265–336.5 indexed citations
20.
Huet, Kathy & Bernard Harmegnies. (2000). Contribution à la quantification du degré d'organisation des systèmes vocaliques.. ORBi UMONS.3 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.