Ann Wakeley

1.0k citations
14 papers · 730 · h-index 10

Impact in

Papers in

Ann Wakeley

14 papers receiving 671 citations

Peers

Ann Wakeley
Comparison fields: 5 of 63
  • Statistics and Probability 412
  • Developmental and Educational Psychology 298
  • Education 465
  • Neuropsychology and Physiological Psychology 9
  • Sensory Systems 19
Replace Kelly Burgoyne with:
Kelly Burgoyne United Kingdom
Marianne Frostig United States
Sarah Clayton United Kingdom
Elizabeth A. Cottone United States
Derek H. Berg Canada
Kathleen R. Biddle United States
Marieke Peeters Netherlands
Jerome Rosner United States
Wim H. J. van Bon Netherlands
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Ann Wakeley relative to Kelly Burgoyne United Kingdom Kelly Burgoyne's profile →
Citations per field
00.5×9.5×
Kelly Burgoyne · 1×
Citations per year

Countries citing papers authored by Ann Wakeley

Since Specialization
Citations

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

Fields of papers citing papers by Ann Wakeley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Ann Wakeley, 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 Ann Wakeley Line = papers co-authored together Ann Wakeley links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2004426
2 200860
3 199948
4 199946
5 199340
6 200038
7 198522
8
Mode of delivery in pregnancies complicated by preeclampsia with very low birth weight infants.
199515
9
Neonatal status: an objective scoring method for identifying infants at risk for poor outcome.
198910
10
Supporting Pre-Kindergarten Children's Readiness for School Mathematics.
19989
11 20007
12 19885
13 19883
14 19921

About Ann Wakeley

Ann Wakeley is a scholar working on Pulmonary and Respiratory Medicine, Education, Statistics and Probability, Developmental and Educational Psychology and Pediatrics, Perinatology and Child Health, having authored 14 papers that have together received 730 indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (5 papers), Cognitive and developmental aspects of mathematical skills (5 papers), Infant Development and Preterm Care (3 papers), Mathematics Education and Teaching Techniques (3 papers), Child and Animal Learning Development (3 papers), Early Childhood Education and Development (2 papers), Neonatal and fetal brain pathology (2 papers) and Birth, Development, and Health (1 paper). The work is most often cited by research in Statistics and Probability (412 citations), Developmental and Educational Psychology (298 citations), Education (465 citations), Neuropsychology and Physiological Psychology (9 citations) and Sensory Systems (19 citations). Ann Wakeley has collaborated with scholars based in United States. Frequent co-authors include Alice Klein, Prentice Starkey, Susan M. Rivera, Jonas Langer, Douglas H. Clements, Julie Sarama, William H. Tooley, A. Salamy, Mureen A Schlueter and Susan Sniderman. Their work appears in journals such as Early Human Development, Developmental Psychology, Child Development, The Journal of Pediatrics and Journal of Research on Educational Effectiveness.

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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