Margaret Tait

12 total papers · 545 total citations
10 papers, 434 citations indexed

About

Margaret Tait is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Developmental Biology. According to data from OpenAlex, Margaret Tait has authored 10 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 8 papers in Developmental and Educational Psychology and 1 paper in Developmental Biology. Recurrent topics in Margaret Tait's work include Hearing Loss and Rehabilitation (8 papers), Hearing Impairment and Communication (8 papers) and Language Development and Disorders (3 papers). Margaret Tait is often cited by papers focused on Hearing Loss and Rehabilitation (8 papers), Hearing Impairment and Communication (8 papers) and Language Development and Disorders (3 papers). Margaret Tait collaborates with scholars based in United Kingdom, United States and Australia. Margaret Tait's co-authors include Thomas P. Nikolopoulos, Gerard M. O’Donoghue, M.E. Lutman, Sue Archbold, S.M. Archbold, Mark E. Lutman, Ken Robinson, Sue Gregory, Johan H. M. Frijns and Emmanuel A. M. Mylanus and has published in prestigious journals such as Ear and Hearing, Otology & Neurotology and International Journal of Pediatric Otorhinolaryngology.

In The Last Decade

Margaret Tait

10 papers receiving 388 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Margaret Tait 380 284 122 74 59 10 434
S.M. Archbold 389 1.0× 241 0.8× 151 1.2× 103 1.4× 48 0.8× 11 493
Anneke Vermeulen 400 1.1× 262 0.9× 179 1.5× 117 1.6× 52 0.9× 18 466
Adrienne Vieu 360 0.9× 227 0.8× 168 1.4× 113 1.5× 50 0.8× 15 408
Tinne Boons 377 1.0× 353 1.2× 152 1.2× 85 1.1× 29 0.5× 7 492
Janet Green 374 1.0× 233 0.8× 197 1.6× 109 1.5× 45 0.8× 15 467
Dimity Dornan 365 1.0× 249 0.9× 163 1.3× 79 1.1× 39 0.7× 16 490
Lauren Burns 363 1.0× 201 0.7× 198 1.6× 98 1.3× 41 0.7× 17 474
Vicky Zhang 386 1.0× 231 0.8× 229 1.9× 83 1.1× 28 0.5× 19 493
L. F. A. Martin 382 1.0× 231 0.8× 152 1.2× 65 0.9× 66 1.1× 21 469
Laura Street 342 0.9× 257 0.9× 173 1.4× 62 0.8× 22 0.4× 7 417

Countries citing papers authored by Margaret Tait

Since Specialization
Citations

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

Fields of papers citing papers by Margaret Tait

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margaret Tait

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

All Works

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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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