Marion Grande

840 citations
38 papers · 630 indexed · h-index 15

Marion Grande

36 papers receiving 618 citations

Peers

Marion Grande
Comparison fields: 5 of 56
  • Developmental and Educational Psychology 407
  • Cognitive Neuroscience 495
  • Statistics and Probability 155
  • Psychiatry and Mental health 88
  • Experimental and Cognitive Psychology 71
Replace Mélanie Jucla with:
Mélanie Jucla France
Randi Starrfelt Denmark
Lisa S. Arduino Italy
Eileen M. Napoliello United States
Philipp Ludersdorfer Austria
Maximiliano A. Wilson Canada
Kate Mayall United Kingdom
Gonia Jarema Canada
Leilei Mei China
Helgard Kremin France
Marion Grande relative to Mélanie Jucla France Mélanie Jucla's profile →
Citations per field
00.5×3.5×
Mélanie Jucla · 1×
Citations per year

Countries citing papers authored by Marion Grande

Since Specialization
Citations

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

Fields of papers citing papers by Marion Grande

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20204
2 20151
3 201440
4 20144
5 201414
6 201313
7 201323
8 201310
9 201245
10 201226
11 201235
12 201227
13
Different levels of lexical processing - evidence from an fMRI study with normal subjects and aphasic patients
20110
14 20116
15 201122
16 201053
17 201021
18 200836
19 200422
20 20017

About Marion Grande

Marion Grande is a scholar working on Developmental and Educational Psychology, Statistics and Probability and Cognitive Neuroscience, having authored 38 papers that have together received 630 indexed citations. Recurring topics across this work include Reading and Literacy Development (24 papers), Neurobiology of Language and Bilingualism (24 papers), Cognitive and developmental aspects of mathematical skills (13 papers), Language Development and Disorders (8 papers), EEG and Brain-Computer Interfaces (4 papers), Phonetics and Phonology Research (3 papers), Attention Deficit Hyperactivity Disorder (2 papers) and Dementia and Cognitive Impairment Research (2 papers). The work is most often cited by research in Developmental and Educational Psychology (407 citations), Cognitive Neuroscience (495 citations) and Statistics and Probability (155 citations). Marion Grande has collaborated with scholars based in Germany, Poland and France. Frequent co-authors include Stefan Heim, Walter Huber, Katrin Amunts, Anna Grabowska, Klaus Willmes, Artur Marchewka, Franck Ramus, Irène Altarelli, Katarzyna Jednoróg and Ulrike Domahs. Their work appears in journals such as NeuroImage, Neuropsychologia and European Journal of Neuroscience.

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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