Leonard L. LaPointe

72 papers receiving 1.3k citations

Peers

Leonard L. LaPointe
Comparison fields: 5 of 107
  • Cognitive Neuroscience 855
  • Developmental and Educational Psychology 444
  • Experimental and Cognitive Psychology 284
  • Physiology 187
  • Psychiatry and Mental health 162
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Countries citing papers authored by Leonard L. LaPointe

Since Specialization
Citations

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

Fields of papers citing papers by Leonard L. LaPointe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leonard L. LaPointe. 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 Leonard L. LaPointe. The network helps show where Leonard L. LaPointe may publish in the future.

Co-authorship network of co-authors of Leonard L. LaPointe

This figure shows the co-authorship network connecting the top 25 collaborators of Leonard L. LaPointe. A scholar is included among the top collaborators of Leonard L. LaPointe 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 Leonard L. LaPointe. Leonard L. LaPointe 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
#WorkIndexed citations
1 2
2 1
3 21
4 57
5 3
6 41
7 14
8
Using motor learning guided theory and augmentative and alternative communication to improve speech production in profound apraxia: a case example
15
9 1
10 3
11
Dynamic assessment of articulation during lingual fatigue in myasthenia gravis
8
12 14
13 22
14 1
15 110
16 31
17
Aphasia: A Clinical Approach
90
18
Determining Rate of Change and Predicting Performance Levels in Aphasia Therapy
1
19
Evaluation of Learning Potential of a Severe Aphasic Adult Through Analysis of Five Performance Variables Using Novel Pictorial Stimuli
3
20
Multiple Baseline Designs
6

About Leonard L. LaPointe

Leonard L. LaPointe is a scholar working on Cognitive Neuroscience, Neuropsychology and Physiological Psychology and Developmental and Educational Psychology, having authored 78 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (29 papers), Cerebral Palsy and Movement Disorders (6 papers) and Voice and Speech Disorders (6 papers). The work is most often cited by research in Cognitive Neuroscience (855 citations), Developmental and Educational Psychology (444 citations) and Experimental and Cognitive Psychology (284 citations). Leonard L. LaPointe has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Robert T. Wertz, John C. Rosenbek, Julie A. G. Stierwalt, Bruce E. Murdoch, Richard C. Katz, Stanley R. Parkinson, Stephen D. Goldinger, Carlin F. Hageman, Helen J. Chenery and Fiona M. Lewis. Their work appears in journals such as Journal of Dental Research, American Heart Journal and Archives of Physical Medicine and Rehabilitation.

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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