Jennifer A. Williams
- Psychiatry and Mental health top 10%
- Pediatrics, Perinatology and Child Health
- Epidemiology
- Health
- Cognitive Neuroscience
- Co-authors
- Colin P. DohertyAlyssa WeakleyMaureen Schmitter‐EdgecombeDiane J. CookPeter BedeEmese VerdesAhmad Reza HosseinpoorAlana Officer
- Topics
- Epilepsy research and treatment (6 papers)Infectious Encephalopathies and Encephalitis (4 papers)Dementia and Cognitive Impairment Research (3 papers)
- Journals
- American Journal of Public HealthJAMA NeurologyJournal of Clinical and Experimental Neuropsychology
- Partner nations
- United StatesIrelandUnited Kingdom
In The Last Decade
Jennifer A. Williams
16 papers receiving 316 citations
Peers
Comparison fields: 5 of 90
- Psychiatry and Mental health 118
- Pediatrics, Perinatology and Child Health 59
- Epidemiology 42
- Health 41
- Cognitive Neuroscience 35
Countries citing papers authored by Jennifer A. Williams
This map shows the geographic impact of Jennifer A. Williams'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 Jennifer A. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer A. Williams more than expected).
Fields of papers citing papers by Jennifer A. Williams
This network shows the impact of papers produced by Jennifer A. Williams. 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 Jennifer A. Williams. The network helps show where Jennifer A. Williams may publish in the future.
Co-authorship network of co-authors of Jennifer A. Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer A. Williams. A scholar is included among the top collaborators of Jennifer A. Williams 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 Jennifer A. Williams. Jennifer A. Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 5 | |
| 3 | 4 | |
| 4 | 8 | |
| 5 | 9 | |
| 6 | 7 | |
| 7 | 47 | |
| 8 | 4 | |
| 9 | 17 | |
| 10 | 46 | |
| 11 | 7 | |
| 12 | 7 | |
| 13 | 102 | |
| 14 | Machine Learning Techniques for Diagnostic Differentiation of Mild Cognitive Impairment and Dementia | 36 |
| 15 | THIS SPACE MUST BE KEPT BLANK) Machine Learning Techniques for Diagnostic Differentiation of Mild Cognitive Impairment and Dementia | 1 |
| 16 | 5 |
About Jennifer A. Williams
Jennifer A. Williams is a scholar working on Issues, ethics and legal aspects, Psychiatry and Mental health and Geriatrics and Gerontology, having authored 16 papers that have together received 329 indexed citations. Recurring topics across this work include Epilepsy research and treatment (6 papers), Infectious Encephalopathies and Encephalitis (4 papers) and Dementia and Cognitive Impairment Research (3 papers). The work is most often cited by research in Psychiatry and Mental health (118 citations), Health Information Management (28 citations) and Health (41 citations). Jennifer A. Williams has collaborated with scholars based in United States, Ireland and United Kingdom. Frequent co-authors include Colin P. Doherty, Alyssa Weakley, Maureen Schmitter‐Edgecombe, Diane J. Cook, Peter Bede, Emese Verdes, Ahmad Reza Hosseinpoor, Alana Officer, Aleksandra Posarac and Nenad Kostanjsek. Their work appears in journals such as American Journal of Public Health, JAMA Neurology and Journal of Clinical and Experimental Neuropsychology.
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.