Daniel Roquet

658 citations
28 papers · 426 indexed · h-index 13

Impact in

Papers in

    • Functional Brain Connectivity Studies 14
    • Memory and Neural Mechanisms 9
    • Neurobiology of Language and Bilingualism 3
    • EEG and Brain-Computer Interfaces 3
    • Neural dynamics and brain function 3
    • Dementia and Cognitive Impairment Research 14

Daniel Roquet

24 papers receiving 421 citations

Peers

Daniel Roquet
Comparison fields: 5 of 61
  • Cognitive Neuroscience 263
  • Psychiatry and Mental health 195
  • Neurology 103
  • Physiology 85
  • Neurology 25
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Roquet

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Roquet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201751
2 201648
3 201646
4 202138
5 202033
6 201722
7 201921
8 202017
9 202217
10 202117
11 202016
12 202014
13 202013
14 201612
15 201612
16 20169
17 20189
18 20137
19 20116
20 20175

About Daniel Roquet

Daniel Roquet is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health, Biological Psychiatry, Behavioral Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 28 papers that have together received 426 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (14 papers), Functional Brain Connectivity Studies (14 papers), Memory and Neural Mechanisms (9 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Neurobiology of Language and Bilingualism (3 papers), EEG and Brain-Computer Interfaces (3 papers), Neural dynamics and brain function (3 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Cognitive Neuroscience (263 citations), Psychiatry and Mental health (195 citations), Neurology (103 citations), Physiology (85 citations) and Neurology (25 citations). Daniel Roquet has collaborated with scholars based in France, Australia and United Kingdom. Frequent co-authors include Frédéric Blanc, Muireann Irish, Olivier Piguet, John R. Hodges, Jean‐Paul Armspach, Jack Foucher, Rebekah M. Ahmed, Siddharth Ramanan, Anne Botzung and Vincent Noblet. Their work appears in journals such as Brain Communications, Cortex, Alzheimer s & Dementia, Alzheimer s Research & Therapy and Scientific Reports.

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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