David Grayson

119 papers receiving 5.8k citations

David Grayson's Hit Papers

Is More Ever Too Much? The Number of Indicators per Factor in Confirmatory Factor Analysis 1998 · 1.0k citations
1.0k0+12+25Years since publication2505007501000

Peers

David Grayson
Comparison fields: 5 of 187
  • Neuropsychology and Physiological Psychology 146
  • Psychiatry and Mental health 1.1k
  • Experimental and Cognitive Psychology 830
  • Clinical Psychology 1.2k
  • Applied Psychology 270
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Countries citing papers authored by David Grayson

Since Specialization
Citations

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

Fields of papers citing papers by David Grayson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Is More Ever Too Much? The Number of Indicators per Factor in Confirmatory Factor Analysis
Hit paper breakdown →
19981031
2
Detecting anxiety and depression in general medical settings.
Hit paper breakdown →
1988987
3
Latent variable models of multitrait-multimethod data.
1995302
4 1985298
5
Goodness of fit in structural equation models
2005279
6 2004228
7 1987155
8 1998142
9 2000138
10 1988111
11 2000109
12 200096
13 200386
14 199685
15 199483
16 199079
17 198678
18 198771
19 199471
20 199667

About David Grayson

David Grayson is a scholar working on Psychiatry and Mental health, Clinical Psychology, General Health Professions, Health and Economics and Econometrics, having authored 127 papers that have together received 6.2k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (19 papers), Health disparities and outcomes (11 papers), Posttraumatic Stress Disorder Research (11 papers), Psychometric Methodologies and Testing (8 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers), Chronic Disease Management Strategies (6 papers), Migration, Health and Trauma (6 papers) and Mental Health Research Topics (5 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (146 citations), Psychiatry and Mental health (1.1k citations), Experimental and Cognitive Psychology (830 citations), Clinical Psychology (1.2k citations) and Applied Psychology (270 citations). David Grayson has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Herbert W. Marsh, Kit‐Tai Hau, Paul Duncan‐Jones, K. Bridges, David Goldberg, John Balla, G. Anthony Broe, Helen Creasey, Louise M. Waite and Hayley Bennett. Their work appears in journals such as International Journal of Geriatric Psychiatry, Australian & New Zealand Journal of Psychiatry, Australasian Journal on Ageing, Psychological Medicine and Australian and New Zealand Journal of Public Health.

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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