Philippe Paquier

3.3k citations
83 papers · 2.3k indexed · h-index 24

Philippe Paquier

73 papers receiving 2.2k citations

Peers

Philippe Paquier
Comparison fields: 5 of 116
  • Neurology 677
  • Cognitive Neuroscience 884
  • Sensory Systems 196
  • Pediatrics, Perinatology and Child Health 551
  • Genetics 265
Replace Daria Riva with:
Daria Riva Italy
Sara Bulgheroni Italy
Beate Schoch Germany
Henry A. Buchtel United States
Hyo Jung De Smet Belgium
Susan M. Bowyer United States
Nicole R. Zürcher United States
Axel Riecker Germany
Leonard F. Koziol United States
Armando Tartaro Italy
Philippe Paquier relative to Daria Riva Italy Daria Riva's profile →
Citations per field
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Daria Riva · 1×
Citations per year

Countries citing papers authored by Philippe Paquier

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Paquier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Philippe Paquier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Philippe Paquier Line = papers co-authored together Philippe Paquier links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20241
5 20234
6 202011
7 201924
8 200968
9 200814
10 200872
11 200740
12 200753
13 200774
14 2005133
15
The syndrome of acquired epileptic childhood aphasia: a review
19980
16
Birth and growth of the standard doctrine on the clinical picture of acquired childhood aphasia: a historical neurolinguistic perspective
19970
17 19949
18
The clinical value of the Line Orientation Test and the Facial Recognition Test in children with acquired unilateral cerebral lesions
19921
19 1992119
20
Un cas d'alexie verbale sans alexie littérale
19811

About Philippe Paquier

Philippe Paquier is a scholar working on Neurology, Cognitive Neuroscience and Developmental and Educational Psychology, having authored 83 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (35 papers), Vestibular and auditory disorders (19 papers), Language Development and Disorders (15 papers), Epilepsy research and treatment (13 papers), Reading and Literacy Development (12 papers), Hearing, Cochlea, Tinnitus, Genetics (9 papers), Childhood Cancer Survivors' Quality of Life (6 papers) and Hemispheric Asymmetry in Neuroscience (6 papers). The work is most often cited by research in Neurology (677 citations), Cognitive Neuroscience (884 citations) and Sensory Systems (196 citations). Philippe Paquier has collaborated with scholars based in Belgium, Netherlands and United States. Frequent co-authors include Peter Mariën, Hyo Jung De Smet, Peter Paul De Deyn, Hanne Baillieux, Coriene E. Catsman‐Berrevoets, Hugo R Van Dongen, Femke K. Aarsen, Jo Verhoeven, Maarten H. Lequin and Patrick Van Bogaert. Their work appears in journals such as Journal of Clinical Oncology, Neurology and Cancer.

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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