Adriana Seelye
- Psychiatry and Mental health top 2%
- Cognitive Neuroscience top 10%
- Experimental and Cognitive Psychology top 5%
- Computer Vision and Pattern Recognition top 5%
- Demography top 5%
- Co-authors
- Jeffrey KayeKatherine WildFrank M. WebbeDiane HowiesonMaureen Schmitter‐EdgecombeDiane J. CookNora MattekHiroko H. Dodge
- Topics
- Dementia and Cognitive Impairment Research (14 papers)Health, Environment, Cognitive Aging (6 papers)Technology Use by Older Adults (5 papers)
- Cited by
- Psychiatry and Mental healthNeuropsychology and Physiological PsychologyGeriatrics and Gerontology
- Journals
- The GerontologistAlzheimer s & DementiaJournal of the International Neuropsychological Society
- Partner nations
- United States
In The Last Decade
Adriana Seelye
22 papers receiving 923 citations
Peers
Comparison fields: 5 of 109
- Psychiatry and Mental health 495
- Cognitive Neuroscience 209
- Experimental and Cognitive Psychology 172
- Computer Vision and Pattern Recognition 144
- Demography 138
Countries citing papers authored by Adriana Seelye
This map shows the geographic impact of Adriana Seelye'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 Adriana Seelye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adriana Seelye more than expected).
Fields of papers citing papers by Adriana Seelye
This network shows the impact of papers produced by Adriana Seelye. 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 Adriana Seelye. The network helps show where Adriana Seelye may publish in the future.
Co-authorship network of co-authors of Adriana Seelye
This figure shows the co-authorship network connecting the top 25 collaborators of Adriana Seelye. A scholar is included among the top collaborators of Adriana Seelye 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 Adriana Seelye. Adriana Seelye is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 42 | |
| 3 | 19 | |
| 4 | 30 | |
| 5 | 74 | |
| 6 | 62 | |
| 7 | 30 | |
| 8 | 64 | |
| 9 | 50 | |
| 10 | 62 | |
| 11 | 13 | |
| 12 | 4 | |
| 13 | 27 | |
| 14 | 25 | |
| 15 | 29 | |
| 16 | 14 | |
| 17 | Living well with MCI: Behavioral interventions for older adults with mild cognitive impairment | 2 |
| 18 | 16 | |
| 19 | 18 | |
| 20 | 316 |
About Adriana Seelye
Adriana Seelye is a scholar working on Psychiatry and Mental health, Geriatrics and Gerontology and Neuropsychology and Physiological Psychology, having authored 22 papers that have together received 953 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (14 papers), Health, Environment, Cognitive Aging (6 papers) and Technology Use by Older Adults (5 papers). The work is most often cited by research in Psychiatry and Mental health (495 citations), Neuropsychology and Physiological Psychology (30 citations) and Geriatrics and Gerontology (57 citations). Adriana Seelye has collaborated with scholars based in United States. Frequent co-authors include Jeffrey Kaye, Katherine Wild, Frank M. Webbe, Diane Howieson, Maureen Schmitter‐Edgecombe, Diane J. Cook, Nora Mattek, Hiroko H. Dodge, Barnan Das and Diane B. Howieson. Their work appears in journals such as The Gerontologist, Alzheimer s & Dementia and Journal of the International Neuropsychological Society.
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.