Alyssa Weakley

26 papers receiving 640 citations

Peers

Alyssa Weakley
Comparison fields: 5 of 86
  • Neuropsychology and Physiological Psychology 44
  • Psychiatry and Mental health 361
  • Geriatrics and Gerontology 39
  • Health Information Management 41
  • Cognitive Neuroscience 171
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Carolyn M. Parsey United States
Alexandra König France
Ellen Woo United States
Ioannis Tarnanas Greece
Sonia Valladares‐Rodríguez Spain
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Victoria Cristancho‐Lacroix France
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Citations per year

Countries citing papers authored by Alyssa Weakley

Since Specialization
Citations

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

Fields of papers citing papers by Alyssa Weakley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Alyssa Weakley, 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 Alyssa Weakley Line = papers co-authored together Alyssa Weakley links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018111
2 201286
3 201866
4 201864
5 201352
6 201546
7 201439
8
Machine Learning Techniques for Diagnostic Differentiation of Mild Cognitive Impairment and Dementia
201336
9 202135
10 201927
11 201918
12 202016
13 201813
14 202212
15 20238
16 20167
17 20173
18 20163
19 20182
20 20242

About Alyssa Weakley

Alyssa Weakley is a scholar working on Psychiatry and Mental health, Demography, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition and Geriatrics and Gerontology, having authored 29 papers that have together received 652 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (22 papers), Technology Use by Older Adults (8 papers), Cognitive Functions and Memory (5 papers), Context-Aware Activity Recognition Systems (4 papers), Neurobiology of Language and Bilingualism (3 papers), Frailty in Older Adults (3 papers), Aging and Gerontology Research (3 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (44 citations), Psychiatry and Mental health (361 citations), Geriatrics and Gerontology (39 citations), Health Information Management (41 citations) and Cognitive Neuroscience (171 citations). Alyssa Weakley has collaborated with scholars based in United States, Spain and France. Frequent co-authors include Maureen Schmitter‐Edgecombe, Diane J. Cook, Courtney McAlister, Ane Alberdi, Jennifer A. Williams, Sarah Tomaszewski Farias, Asier Aztiria, Maitane Barrenechea, Danielle Harvey and Adrian Basarab. Their work appears in journals such as Archives of Clinical Neuropsychology, Alzheimer s & Dementia, Neuropsychology, Alzheimer Disease & Associated Disorders and International Psychogeriatrics.

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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