Naida L. Graham
- Cognitive Neuroscience top 1%
- Developmental and Educational Psychology top 1%
- Psychiatry and Mental health top 2%
- Physiology top 10%
- Experimental and Cognitive Psychology top 5%
- Co-authors
- Karalyn PattersonJohn R. HodgesElizabeth RochonKate DawsonCarol LéonardMatthew A. Lambon RalphKathleen FraserJohn S. Bak
- Topics
- Neurobiology of Language and Bilingualism (35 papers)Language Development and Disorders (13 papers)Text Readability and Simplification (11 papers)
- Journals
- PLoS ONEBrainNeuropsychologia
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Naida L. Graham
42 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 94
- Cognitive Neuroscience 1.6k
- Developmental and Educational Psychology 792
- Psychiatry and Mental health 736
- Physiology 240
- Experimental and Cognitive Psychology 222
Countries citing papers authored by Naida L. Graham
This map shows the geographic impact of Naida L. Graham'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 Naida L. Graham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naida L. Graham more than expected).
Fields of papers citing papers by Naida L. Graham
This network shows the impact of papers produced by Naida L. Graham. 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 Naida L. Graham. The network helps show where Naida L. Graham may publish in the future.
Co-authorship network of co-authors of Naida L. Graham
This figure shows the co-authorship network connecting the top 25 collaborators of Naida L. Graham. A scholar is included among the top collaborators of Naida L. Graham 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 Naida L. Graham. Naida L. Graham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 11 | |
| 5 | 32 | |
| 6 | 12 | |
| 7 | 80 | |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 22 | |
| 11 | 163 | |
| 12 | 59 | |
| 13 | 63 | |
| 14 | 93 | |
| 15 | 176 | |
| 16 | 25 | |
| 17 | 28 | |
| 18 | 133 | |
| 19 | 328 | |
| 20 | Spoken language comprehension : an experimental approach to disordered and normal processing | 81 |
About Naida L. Graham
Naida L. Graham is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Anatomy, having authored 42 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (35 papers), Language Development and Disorders (13 papers) and Text Readability and Simplification (11 papers). The work is most often cited by research in Cognitive Neuroscience (1.6k citations), Developmental and Educational Psychology (792 citations) and Psychiatry and Mental health (736 citations). Naida L. Graham has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Karalyn Patterson, John R. Hodges, John R. Hodges, Elizabeth Rochon, Kate Dawson, Carol Léonard, Matthew A. Lambon Ralph, Kathleen Fraser, John R. Hodges and John S. Bak. Their work appears in journals such as PLoS ONE, Brain and Neuropsychologia.
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.