Aurélia Bugaïska

1.8k citations
43 papers · 1.2k indexed · h-index 19
Topics
Memory Processes and Influences (17 papers)Memory and Neural Mechanisms (12 papers)Child and Animal Learning Development (12 papers)
Partner nations
FranceCanadaAustralia

In The Last Decade

Aurélia Bugaïska

40 papers receiving 1.2k citations

Peers

Aurélia Bugaïska
Comparison fields: 5 of 111
  • Cognitive Neuroscience 678
  • Developmental and Educational Psychology 382
  • Experimental and Cognitive Psychology 285
  • Artificial Intelligence 244
  • Social Psychology 198
Replace Benjamin Rahm with:
Benjamin Rahm Germany
Mathias S. Fleck United States
Tyler L. Harrison United States
Fabrice B. R. Parmentier Spain
Richard J. Allen United Kingdom
Nicolas Langer Switzerland
Lloyd Peterson United States
Raymond J. Shaw United States
Jessica Robin Canada
M. Kathryn Bleckley United States
Aurélia Bugaïska relative to Benjamin Rahm Germany Benjamin Rahm's profile →
Citations per field
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Citations per year

Countries citing papers authored by Aurélia Bugaïska

Since Specialization
Citations

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

Fields of papers citing papers by Aurélia Bugaïska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aurélia Bugaïska

This figure shows the co-authorship network connecting the top 25 collaborators of Aurélia Bugaïska. A scholar is included among the top collaborators of Aurélia Bugaïska 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 Aurélia Bugaïska. Aurélia Bugaïska 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 0
2 1
3 0
4 3
5 12
6 44
7 11
8 13
9 14
10 2
11 24
12 9
13 13
14
Aging, Neuropsychology, and Cognition: A Journal on Normal and Dysfunctional
1
15 12
16 75
17 38
18 19
19 70
20 82

About Aurélia Bugaïska

Aurélia Bugaïska is a scholar working on Neuropsychology and Physiological Psychology, Developmental and Educational Psychology and Cognitive Neuroscience, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include Memory Processes and Influences (17 papers), Memory and Neural Mechanisms (12 papers) and Child and Animal Learning Development (12 papers). The work is most often cited by research in Cognitive Neuroscience (678 citations), Developmental and Educational Psychology (382 citations) and Neuropsychology and Physiological Psychology (34 citations). Aurélia Bugaïska has collaborated with scholars based in France, Canada and Australia. Frequent co-authors include Patrick Bonin, Martial Mermillod, Alain Méot, Margaux Gelin, David Clarys, Laura Ferreri, Emmanuel Bigand, Géraldine Tapia, Sandrine Kalenzaga and Jean‐Julien Aucouturier. Their work appears in journals such as Frontiers in Microbiology, Frontiers in Psychology and Memory & Cognition.

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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