Todd M. Bailey

1.6k citations
17 papers · 934 · h-index 14

Impact in

Papers in

Todd M. Bailey

17 papers receiving 851 citations

Peers

Todd M. Bailey
Comparison fields: 5 of 72
  • Developmental and Educational Psychology 548
  • Experimental and Cognitive Psychology 404
  • Cognitive Neuroscience 371
  • Language and Linguistics 162
  • Linguistics and Language 68
Replace Paul D. Allopenna with:
Paul D. Allopenna United States
Bruno Nicenboim Germany
Melody Dye United States
Eef Ameel Belgium
Iris Berent United States
James S. Adelman United Kingdom
Diogo Almeida United States
Katherine S. White Canada
Louisa M. Slowiaczek United States
Richard Breheny United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Todd M. Bailey

Since Specialization
Citations

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

Fields of papers citing papers by Todd M. Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Todd M. Bailey. 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 Todd M. Bailey. The network helps show where Todd M. Bailey may publish in the future.

Co-authors

The 22 scholars most cited alongside Todd M. Bailey, 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 Todd M. Bailey Line = papers co-authored together Todd M. Bailey links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2001231
2 2002130
3 2011101
4 201373
5 200067
6 200564
7 200545
8 200043
9 201836
10 201136
11 200533
12 200922
13 200818
14 199918
15 201510
16 20055
17 19982

About Todd M. Bailey

Todd M. Bailey is a scholar working on Developmental and Educational Psychology, Experimental and Cognitive Psychology, Artificial Intelligence, Cognitive Neuroscience and Computer Networks and Communications, having authored 17 papers that have together received 934 indexed citations. Recurring topics across this work include Child and Animal Learning Development (7 papers), Neurobiology of Language and Bilingualism (5 papers), Phonetics and Phonology Research (4 papers), Reading and Literacy Development (4 papers), Language Development and Disorders (4 papers), Categorization, perception, and language (2 papers), Natural Language Processing Techniques (2 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Developmental and Educational Psychology (548 citations), Experimental and Cognitive Psychology (404 citations), Cognitive Neuroscience (371 citations), Language and Linguistics (162 citations) and Linguistics and Language (68 citations). Todd M. Bailey has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Ulrike Hahn, Emmanuel M. Pothos, Kim Plunkett, Lewis Bott, Daniel Grodner, John M. Tomlinson, John V. McDonnell, Darren J. Edwards, Amotz Perlman and Christopher W. Bartlett. Their work appears in journals such as Journal of Memory and Language, Journal of Experimental Psychology Learning Memory and Cognition, Cognition, Language and Speech and Memory & Cognition.

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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