Aimée F. Luat

1.9k citations
65 papers · 1.1k indexed · h-index 20
Topics
Epilepsy research and treatment (19 papers)Neural dynamics and brain function (18 papers)Functional Brain Connectivity Studies (18 papers)

In The Last Decade

Aimée F. Luat

61 papers receiving 1.1k citations

Peers

Aimée F. Luat
Comparison fields: 5 of 76
  • Cognitive Neuroscience 456
  • Psychiatry and Mental health 451
  • Cellular and Molecular Neuroscience 202
  • Pediatrics, Perinatology and Child Health 199
  • Physiology 178
Replace Luca De Palma with:
Luca De Palma Italy
Robert D. Nass Germany
Lily C. Wong‐Kisiel United States
Dominique Dive Belgium
Cyrille H. Ferrier Netherlands
Masanori Takeoka United States
Gabriel Möddel Germany
Hansel M. Greiner United States
Virginie Lambrecq France
Margherita Santucci Italy
Aimée F. Luat relative to Luca De Palma Italy Luca De Palma's profile →
Citations per field
00.5×1.7×
Luca De Palma · 1×
Citations per year

Countries citing papers authored by Aimée F. Luat

Since Specialization
Citations

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

Fields of papers citing papers by Aimée F. Luat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aimée F. Luat. 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 Aimée F. Luat. The network helps show where Aimée F. Luat may publish in the future.

Co-authorship network of co-authors of Aimée F. Luat

This figure shows the co-authorship network connecting the top 25 collaborators of Aimée F. Luat. A scholar is included among the top collaborators of Aimée F. Luat 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 Aimée F. Luat. Aimée F. Luat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 2
4 0
5 0
6 4
7 0
8 6
9 18
10 13
11 7
12 24
13 32
14 1
15 17
16 12
17 34
18 7
19 31
20 11

About Aimée F. Luat

Aimée F. Luat is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Cellular and Molecular Neuroscience, having authored 65 papers that have together received 1.1k indexed citations. Recurring topics across this work include Epilepsy research and treatment (19 papers), Neural dynamics and brain function (18 papers) and Functional Brain Connectivity Studies (18 papers). The work is most often cited by research in Psychiatry and Mental health (451 citations), Cognitive Neuroscience (456 citations) and Cellular and Molecular Neuroscience (202 citations). Aimée F. Luat has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Harry T. Chugani, Eishi Asano, Sandeep Sood, Jeong‐Won Jeong, Csaba Juhász, Masaki Sonoda, Yasuo Nakai, Malek Makki, Robert Rothermel and Ajay Kumar. Their work appears in journals such as Nature Communications, NeuroImage and Brain.

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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