Elizabeth Will

31 papers receiving 587 citations

Peers

Elizabeth Will
Comparison fields: 5 of 62
  • Cognitive Neuroscience 291
  • Developmental and Educational Psychology 134
  • Psychiatry and Mental health 147
  • Clinical Psychology 171
  • Public Health, Environmental and Occupational Health 232
Replace Marie Moore Channell with:
Marie Moore Channell United States
Katie Cebula United Kingdom
Ina van Berckelaer‐Onnes Netherlands
Erica Richmond United States
Stefano Lassi Italy
J. Rojahn United States
Dirk Kraijer Netherlands
G. La Malfa Italy
Daniene Neal United States
Caroline I. Magyar United States
Elizabeth Will relative to Marie Moore Channell United States Marie Moore Channell's profile →
Citations per field
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Marie Moore Channell · 1×
Citations per year

Countries citing papers authored by Elizabeth Will

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth Will

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Elizabeth Will, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Elizabeth Will Line = papers co-authored together Elizabeth Will links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201494
2 201368
3 201650
4 201547
5 201444
6 201739
7 201930
8 201829
9 202027
10 201923
11 202118
12 201916
13 201916
14 201913
15 202112
16 201611
17 201410
18 202010
19 20189
20 20209

About Elizabeth Will

Elizabeth Will is a scholar working on Cognitive Neuroscience, Genetics, Developmental and Educational Psychology, Clinical Psychology and Education, having authored 35 papers that have together received 599 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (24 papers), Genetics and Neurodevelopmental Disorders (17 papers), Child Development and Digital Technology (7 papers), Down syndrome and intellectual disability research (6 papers), Family and Disability Support Research (6 papers), Infant Development and Preterm Care (5 papers), Language Development and Disorders (4 papers) and Attention Deficit Hyperactivity Disorder (3 papers). The work is most often cited by research in Cognitive Neuroscience (291 citations), Developmental and Educational Psychology (134 citations), Psychiatry and Mental health (147 citations), Clinical Psychology (171 citations) and Public Health, Environmental and Occupational Health (232 citations). Elizabeth Will has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Deborah J. Fidler, Lisa A. Daunhauer, Jane E. Roberts, Nancy Lee, Laura J. Hahn, Susan Hepburn, Emily K. Schworer, Abigail L. Hogan, Samuel D. McQuillin and Sarah A. Bilsky. Their work appears in journals such as Journal of Neurodevelopmental Disorders, Journal of Intellectual Disability Research, American Journal on Intellectual and Developmental Disabilities, Research in Developmental Disabilities and Journal of Autism and Developmental Disorders.

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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