Céline Lanoë

565 citations
23 papers · 414 · h-index 12

Impact in

Papers in

Céline Lanoë

22 papers receiving 399 citations

Peers

Céline Lanoë
Comparison fields: 5 of 59
  • Statistics and Probability 174
  • Developmental and Educational Psychology 228
  • Cognitive Neuroscience 183
  • Experimental and Cognitive Psychology 103
  • Education 108
Replace Elena Salillas with:
Elena Salillas Italy
José Morais Belgium
Simona Viola Italy
Wutian Zhang China
Alena G. Esposito United States
Stijn De Rammelaere Belgium
Hannah E. Roome United Kingdom
Maciej Haman Poland
Silvia Pesenti Italy
Arnaud Badets France
Céline Lanoë relative to Elena Salillas Italy Elena Salillas's profile →
Citations per field
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Citations per year

Countries citing papers authored by Céline Lanoë

Since Specialization
Citations

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

Fields of papers citing papers by Céline Lanoë

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Céline Lanoë, 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 Céline Lanoë Line = papers co-authored together Céline Lanoë links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201186
2 201363
3 201152
4 201624
5 201522
6 201622
7 201221
8 201320
9 201319
10 201216
11 201015
12 201314
13 200910
14 20237
15 20176
16 20155
17 20134
18
How to best train children and adolescents for fMRI? Meta-analysis of the training methods in developmental neuroimaging
20132
19 20192
20 20151

About Céline Lanoë

Céline Lanoë is a scholar working on Developmental and Educational Psychology, Statistics and Probability, Cognitive Neuroscience, Experimental and Cognitive Psychology and Education, having authored 23 papers that have together received 414 indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (11 papers), Reading and Literacy Development (8 papers), Neuroscience, Education and Cognitive Function (7 papers), Child and Animal Learning Development (6 papers), Educational and Psychological Assessments (4 papers), Innovative Teaching and Learning Methods (3 papers), Mathematics Education and Teaching Techniques (3 papers) and Cognitive Abilities and Testing (3 papers). The work is most often cited by research in Statistics and Probability (174 citations), Developmental and Educational Psychology (228 citations), Cognitive Neuroscience (183 citations), Experimental and Cognitive Psychology (103 citations) and Education (108 citations). Céline Lanoë has collaborated with scholars based in France. Frequent co-authors include Amélie Lubin, Olivier Houdé, Sandrine Rossi, Arlette Pineau, Grégoire Borst, Julie Vidal, Nicolas Poirel, Gregory C Simon, Gaëlle Leroux and Marie‐Renée Turbelin. Their work appears in journals such as PLoS ONE, Experimental Psychology (formerly Zeitschrift für Experimentelle Psychologie), Cognitive Development, Neuropsychologia and Trends in Neuroscience and Education.

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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