Gladys Barragan‐Jason
- Cognitive Neuroscience top 10%
- Health, Toxicology and Mutagenesis top 10%
- Social Psychology top 10%
- Management, Monitoring, Policy and Law top 5%
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Emmanuel J. BarbeauMichel LoreauMaxime CauchoixMichael C. SingerCamille ParmesanClaire de MazancourtT. SerreGabriel Besson
- Topics
- Face Recognition and Perception (6 papers)Visual Attention and Saliency Detection (6 papers)Environmental Education and Sustainability (4 papers)
- Cited by
- Cognitive NeuroscienceHealth, Toxicology and MutagenesisManagement, Monitoring, Policy and Law
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
Gladys Barragan‐Jason
20 papers receiving 527 citations
Peers
Comparison fields: 5 of 81
- Cognitive Neuroscience 241
- Health, Toxicology and Mutagenesis 141
- Social Psychology 128
- Management, Monitoring, Policy and Law 94
- Experimental and Cognitive Psychology 82
Countries citing papers authored by Gladys Barragan‐Jason
This map shows the geographic impact of Gladys Barragan‐Jason'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 Gladys Barragan‐Jason with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gladys Barragan‐Jason more than expected).
Fields of papers citing papers by Gladys Barragan‐Jason
This network shows the impact of papers produced by Gladys Barragan‐Jason. 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 Gladys Barragan‐Jason. The network helps show where Gladys Barragan‐Jason may publish in the future.
Co-authorship network of co-authors of Gladys Barragan‐Jason
This figure shows the co-authorship network connecting the top 25 collaborators of Gladys Barragan‐Jason. A scholar is included among the top collaborators of Gladys Barragan‐Jason 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 Gladys Barragan‐Jason. Gladys Barragan‐Jason is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 21 | |
| 4 | 93 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 122 | |
| 9 | 6 | |
| 10 | 22 | |
| 11 | 10 | |
| 12 | 3 | |
| 13 | 39 | |
| 14 | 46 | |
| 15 | 9 | |
| 16 | 84 | |
| 17 | 2 | |
| 18 | 11 | |
| 19 | 26 | |
| 20 | 29 |
About Gladys Barragan‐Jason
Gladys Barragan‐Jason is a scholar working on Cognitive Neuroscience, Developmental Biology and Management, Monitoring, Policy and Law, having authored 20 papers that have together received 538 indexed citations. Recurring topics across this work include Face Recognition and Perception (6 papers), Visual Attention and Saliency Detection (6 papers) and Environmental Education and Sustainability (4 papers). The work is most often cited by research in Cognitive Neuroscience (241 citations), Health, Toxicology and Mutagenesis (141 citations) and Management, Monitoring, Policy and Law (94 citations). Gladys Barragan‐Jason has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Emmanuel J. Barbeau, Michel Loreau, Maxime Cauchoix, Michael C. Singer, Camille Parmesan, Claire de Mazancourt, T. Serre, Gabriel Besson, Mathieu Ceccaldi and Alexis S. Chaine. Their work appears in journals such as Journal of Neuroscience, Proceedings of the Royal Society B Biological Sciences and 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.