Michelle de Haan
- Cognitive Neuroscience top 0.2%
- Experimental and Cognitive Psychology top 0.5%
- Developmental and Educational Psychology top 0.5%
- Social Psychology top 1%
- Clinical Psychology top 1%
- Co-authors
- Charles A. NelsonMark H. JohnsonOlivier PascalisHanife HalitJay BelskyMegan R. GunnarKathryn ToutFaraneh Vargha‐Khadem
- Topics
- Face Recognition and Perception (25 papers)Neonatal and fetal brain pathology (22 papers)Infant Development and Preterm Care (19 papers)
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyDevelopmental and Educational Psychology
- Journals
- SciencePLoS ONENeuroImage
- Partner nations
- United KingdomUnited StatesIreland
In The Last Decade
Michelle de Haan
119 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Cognitive Neuroscience 4.4k
- Experimental and Cognitive Psychology 1.7k
- Developmental and Educational Psychology 1.6k
- Social Psychology 1.1k
- Clinical Psychology 1.1k
Countries citing papers authored by Michelle de Haan
This map shows the geographic impact of Michelle de Haan'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 Michelle de Haan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle de Haan more than expected).
Fields of papers citing papers by Michelle de Haan
This network shows the impact of papers produced by Michelle de Haan. 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 Michelle de Haan. The network helps show where Michelle de Haan may publish in the future.
Co-authorship network of co-authors of Michelle de Haan
This figure shows the co-authorship network connecting the top 25 collaborators of Michelle de Haan. A scholar is included among the top collaborators of Michelle de Haan 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 Michelle de Haan. Michelle de Haan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 10 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 16 | |
| 7 | 21 | |
| 8 | 34 | |
| 9 | 17 | |
| 10 | 3 | |
| 11 | 8 | |
| 12 | 17 | |
| 13 | 5 | |
| 14 | Parenting and children's brain development: the end of the beginning | 18 |
| 15 | 1 | |
| 16 | Neuroscience and Cognitive Development: Experience and the developing brain | 1 |
| 17 | 69 | |
| 18 | 152 | |
| 19 | 59 | |
| 20 | 196 |
About Michelle de Haan
Michelle de Haan is a scholar working on Cognitive Neuroscience, Pediatrics, Perinatology and Child Health and Developmental and Educational Psychology, having authored 125 papers that have together received 7.2k indexed citations. Recurring topics across this work include Face Recognition and Perception (25 papers), Neonatal and fetal brain pathology (22 papers) and Infant Development and Preterm Care (19 papers). The work is most often cited by research in Cognitive Neuroscience (4.4k citations), Experimental and Cognitive Psychology (1.7k citations) and Developmental and Educational Psychology (1.6k citations). Michelle de Haan has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Charles A. Nelson, Mark H. Johnson, Olivier Pascalis, Hanife Halit, Jay Belsky, Megan R. Gunnar, Kathryn Tout, Faraneh Vargha‐Khadem, Gergely Csibra and Mortimer Mishkin. Their work appears in journals such as Science, PLoS ONE and NeuroImage.
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.