Kimberley Whitehead

1.0k total citations
33 papers, 683 citations indexed

About

Kimberley Whitehead is a scholar working on Pediatrics, Perinatology and Child Health, Cognitive Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Kimberley Whitehead has authored 33 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pediatrics, Perinatology and Child Health, 15 papers in Cognitive Neuroscience and 11 papers in Psychiatry and Mental health. Recurrent topics in Kimberley Whitehead's work include Infant Development and Preterm Care (9 papers), EEG and Brain-Computer Interfaces (9 papers) and Neonatal and fetal brain pathology (8 papers). Kimberley Whitehead is often cited by papers focused on Infant Development and Preterm Care (9 papers), EEG and Brain-Computer Interfaces (9 papers) and Neonatal and fetal brain pathology (8 papers). Kimberley Whitehead collaborates with scholars based in United Kingdom, Canada and United States. Kimberley Whitehead's co-authors include Lorenzo Fabrizi, Markus Reuber, Judith Meek, Maria Pureza Laudiano‐Dray, Rosalind Kandler, Laura Jones, Ronit Pressler, Madeleine Verriotis, Melinda Fitzgerald and Jon Stone and has published in prestigious journals such as The Lancet, PLoS ONE and NeuroImage.

In The Last Decade

Kimberley Whitehead

32 papers receiving 674 citations

Peers

Kimberley Whitehead
Comparison fields: 5 of 69
  • Pediatrics, Perinatology and Child Health 319
  • Psychiatry and Mental health 267
  • Cognitive Neuroscience 183
  • Philosophy 135
  • Pharmacy 85
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Christina Rosenberger Germany
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G Ratzoni Israel
Marianna Frascarelli Italy
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Citations per field, relative to Kimberley Whitehead
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Citations per year, relative to Kimberley Whitehead
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Countries citing papers authored by Kimberley Whitehead

Since Specialization
Citations

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

Fields of papers citing papers by Kimberley Whitehead

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kimberley Whitehead

This figure shows the co-authorship network connecting the top 25 collaborators of Kimberley Whitehead. A scholar is included among the top collaborators of Kimberley Whitehead 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 Kimberley Whitehead. Kimberley Whitehead is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 3
3 29
4 6
5 9
6 5
7 7
8 31
9 21
10 23
11 57
12 17
13 4
14 53
15 54
16 16
17 7
18 27
19 71
20 37

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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