Laura Aymerich-Franch
- Social Psychology top 5%
- Human-Computer Interaction top 1%
- Cognitive Neuroscience top 10%
- Artificial Intelligence
- Applied Psychology top 5%
- Co-authors
- Gowrishankar GaneshAbderrahmane KheddarDamien PetitJeremy N. BailensonRosalind W. PicardSooyeon JeongSharifa AlghowinemCynthia Breazeal
- Topics
- Virtual Reality Applications and Impacts (13 papers)Social Robot Interaction and HRI (9 papers)Action Observation and Synchronization (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaFrontiers in Human NeuroscienceNew Media & Society
- Partner nations
- SpainUnited StatesJapan
In The Last Decade
Laura Aymerich-Franch
34 papers receiving 551 citations
Peers
Comparison fields: 5 of 87
- Social Psychology 285
- Human-Computer Interaction 251
- Cognitive Neuroscience 164
- Artificial Intelligence 88
- Applied Psychology 85
Countries citing papers authored by Laura Aymerich-Franch
This map shows the geographic impact of Laura Aymerich-Franch'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 Laura Aymerich-Franch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Aymerich-Franch more than expected).
Fields of papers citing papers by Laura Aymerich-Franch
This network shows the impact of papers produced by Laura Aymerich-Franch. 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 Laura Aymerich-Franch. The network helps show where Laura Aymerich-Franch may publish in the future.
Co-authorship network of co-authors of Laura Aymerich-Franch
This figure shows the co-authorship network connecting the top 25 collaborators of Laura Aymerich-Franch. A scholar is included among the top collaborators of Laura Aymerich-Franch 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 Laura Aymerich-Franch. Laura Aymerich-Franch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 46 | |
| 3 | 8 | |
| 4 | 4 | |
| 5 | 48 | |
| 6 | 14 | |
| 7 | 19 | |
| 8 | 4 | |
| 9 | 22 | |
| 10 | 25 | |
| 11 | 30 | |
| 12 | 5 | |
| 13 | 2 | |
| 14 | 30 | |
| 15 | 1 | |
| 16 | 73 | |
| 17 | VIRTUAL REALITY AS A TOOL FOR THE STUDY OF PSYCHOLOGICAL AND SOCIAL PHENOMENA | 1 |
| 18 | 29 | |
| 19 | 7 | |
| 20 | Nous formats de publicitat interactiva en televisió: una proposta per a la seva anàlisi i classificació | 1 |
About Laura Aymerich-Franch
Laura Aymerich-Franch is a scholar working on Human-Computer Interaction, Applied Psychology and Social Psychology, having authored 36 papers that have together received 570 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (13 papers), Social Robot Interaction and HRI (9 papers) and Action Observation and Synchronization (8 papers). The work is most often cited by research in Human-Computer Interaction (251 citations), Applied Psychology (85 citations) and Social Psychology (285 citations). Laura Aymerich-Franch has collaborated with scholars based in Spain, United States and Japan. Frequent co-authors include Gowrishankar Ganesh, Abderrahmane Kheddar, Damien Petit, Jeremy N. Bailenson, Rosalind W. Picard, Sooyeon Jeong, Sharifa Alghowinem, Cynthia Breazeal, Hae Won Park and Àgata Lapedriza. Their work appears in journals such as SHILAP Revista de lepidopterología, Frontiers in Human Neuroscience and New Media & Society.
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.