Nina Attridge

1.4k total citations · 1 hit paper
32 papers, 1.0k citations indexed

About

Nina Attridge is a scholar working on Education, Statistics and Probability and Cognitive Neuroscience. According to data from OpenAlex, Nina Attridge has authored 32 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Education, 13 papers in Statistics and Probability and 9 papers in Cognitive Neuroscience. Recurrent topics in Nina Attridge's work include Mathematics Education and Teaching Techniques (14 papers), Cognitive and developmental aspects of mathematical skills (12 papers) and Musculoskeletal pain and rehabilitation (7 papers). Nina Attridge is often cited by papers focused on Mathematics Education and Teaching Techniques (14 papers), Cognitive and developmental aspects of mathematical skills (12 papers) and Musculoskeletal pain and rehabilitation (7 papers). Nina Attridge collaborates with scholars based in United Kingdom, Belgium and United States. Nina Attridge's co-authors include Matthew Inglis, Camilla Gilmore, Sophie Batchelor, Lucy Cragg, Samantha Johnson, Sarah Clayton, Victoria Simms, Neil Marlow, Edmund Keogh and Christopher Eccleston and has published in prestigious journals such as PLoS ONE, Pain and Psychonomic Bulletin & Review.

In The Last Decade

Nina Attridge

30 papers receiving 985 citations

Hit Papers

Individual Differences in Inhibitory Control, Not Non-Ver... 2013 2026 2017 2021 2013 100 200 300

Peers

Nina Attridge
Comparison fields: 5 of 91
  • Statistics and Probability 686
  • Education 581
  • Developmental and Educational Psychology 359
  • Cognitive Neuroscience 225
  • Experimental and Cognitive Psychology 121
Replace Tanya M. Evans with:
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Tanya M. Evans United States View profile →
Citations per field, relative to Nina Attridge
Nina Attridge · 1×
Citations per year, relative to Nina Attridge
Nina Attridge · 1×

Countries citing papers authored by Nina Attridge

Since Specialization
Citations

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

Fields of papers citing papers by Nina Attridge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Attridge

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Attridge. A scholar is included among the top collaborators of Nina Attridge 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 Nina Attridge. Nina Attridge 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 1
3 4
4 30
5 4
6 4
7 1
8 5
9 4
10 10
11 18
12
Exploring attentional biases to body expressions of pain in men and women
1
13
DOES STUDYING LOGIC IMPROVE LOGICAL REASONING
3
14 8
15 48
16 51
17 13
18 45
19
Individual Differences in Inhibitory Control, Not Non-Verbal Number Acuity, Correlate with Mathematics Achievement breakdown →
343
20 175

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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