Bahia Guellaï

536 citations
19 papers · 330 indexed · h-index 11
Topics
Child and Animal Learning Development (9 papers)Face Recognition and Perception (8 papers)Multisensory perception and integration (8 papers)

In The Last Decade

Bahia Guellaï

17 papers receiving 327 citations

Peers

Bahia Guellaï
Comparison fields: 5 of 53
  • Cognitive Neuroscience 166
  • Developmental and Educational Psychology 166
  • Experimental and Cognitive Psychology 124
  • Social Psychology 51
  • Education 31
Replace Elena J. Tenenbaum with:
Elena J. Tenenbaum United States
Nicole Altvater‐Mackensen Germany
Regine Oberecker Germany
Nan Xu Rattanasone Australia
Dilara Deniz Can United States
Simone Falk Germany
Gail E. Walton United States
Claudia Männel Germany
Tuomas Teinonen Finland
Emily Hill United States
Bahia Guellaï relative to Elena J. Tenenbaum United States Elena J. Tenenbaum's profile →
Citations per field
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Elena J. Tenenbaum · 1×
Citations per year

Countries citing papers authored by Bahia Guellaï

Since Specialization
Citations

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

Fields of papers citing papers by Bahia Guellaï

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bahia Guellaï

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 0
3 2
4 2
5 2
6 10
7 7
8 23
9 30
10 11
11 21
12 11
13 43
14 21
15 8
16 22
17 41
18 27
19 49

About Bahia Guellaï

Bahia Guellaï is a scholar working on Developmental and Educational Psychology, Developmental Biology and Experimental and Cognitive Psychology, having authored 19 papers that have together received 330 indexed citations. Recurring topics across this work include Child and Animal Learning Development (9 papers), Face Recognition and Perception (8 papers) and Multisensory perception and integration (8 papers). The work is most often cited by research in Developmental and Educational Psychology (166 citations), Developmental Biology (22 citations) and Experimental and Cognitive Psychology (124 citations). Bahia Guellaï has collaborated with scholars based in France, Australia and United Kingdom. Frequent co-authors include Arlette Stréri, Núria Esteve‐Gibert, Christine Kitamura, Adrien Chopin, Jeesun Kim, Stéphanie Barbu, Jean‐Pierre Chevrot, Alban Lemasson, Aurélie Nardy and Jacques Juhel. Their work appears in journals such as PLoS ONE, Scientific Reports and Journal of Cognitive 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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