Liam D. Kaufman

699 citations
13 papers · 478 indexed · h-index 7
Topics
Dementia and Cognitive Impairment Research (7 papers)Neurobiology of Language and Bilingualism (4 papers)Language Development and Disorders (3 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEJournal of Alzheimer s Disease

In The Last Decade

Liam D. Kaufman

13 papers receiving 473 citations

Peers

Liam D. Kaufman
Comparison fields: 5 of 87
  • Cognitive Neuroscience 215
  • Psychiatry and Mental health 143
  • Physiology 65
  • Social Psychology 62
  • Experimental and Cognitive Psychology 53
Replace Sonia Di Tella with:
Sonia Di Tella Italy
Maria Salomé Pinho Portugal
Tsz‐lok Lee Hong Kong
Pietro Davide Trimarchi Italy
Paola Verde Italy
Eugenie Roudaia Canada
Donna Spooner Australia
Jérémy Besnard France
Jack Nissan United Kingdom
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Citations per field
00.5×3.5×
Sonia Di Tella · 1×
Citations per year

Countries citing papers authored by Liam D. Kaufman

Since Specialization
Citations

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

Fields of papers citing papers by Liam D. Kaufman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liam D. Kaufman. 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 Liam D. Kaufman. The network helps show where Liam D. Kaufman may publish in the future.

Co-authorship network of co-authors of Liam D. Kaufman

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 5
2 39
3 54
4 1
5 89
6 1
7 4
8 1
9 67
10 77
11 74
12 64
13 2

About Liam D. Kaufman

Liam D. Kaufman is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Developmental and Educational Psychology, having authored 13 papers that have together received 478 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (7 papers), Neurobiology of Language and Bilingualism (4 papers) and Language Development and Disorders (3 papers). The work is most often cited by research in Cognitive Neuroscience (215 citations), Psychiatry and Mental health (143 citations) and Human-Computer Interaction (49 citations). Liam D. Kaufman has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Sandra E. Black, Jay Pratt, Brian Levine, Jessica Robin, William Simpson, Maria Yancheva, Jody C. Culham, Simona Monaco, Anthony Singhal and John Harrison. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Alzheimer s Disease.

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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