J. A. Keats

963 citations
45 papers · 705 indexed · h-index 15
Topics
Advanced Statistical Methods and Models (4 papers)Youth Development and Social Support (4 papers)Statistical Methods and Bayesian Inference (3 papers)

In The Last Decade

J. A. Keats

42 papers receiving 590 citations

Peers

J. A. Keats
Comparison fields: 5 of 122
  • Statistics and Probability 114
  • Sociology and Political Science 114
  • Education 109
  • Management Science and Operations Research 102
  • Clinical Psychology 86
Replace Vern W. Urry with:
Vern W. Urry United Kingdom
Ross E. Traub Canada
Mary L. Tenopyr United States
John C. Callender United States
Robert J. Wherry United States
William A. Mehrens United States
Siu L. Chow Canada
Elizabeth P. Hagen United States
T. Anne Cleary United States
David G. Weeks United States
J. A. Keats relative to Vern W. Urry United Kingdom Vern W. Urry's profile →
Citations per field
00.5×4.5×
Vern W. Urry · 1×
Citations per year

Countries citing papers authored by J. A. Keats

Since Specialization
Citations

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

Fields of papers citing papers by J. A. Keats

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. A. Keats. 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 J. A. Keats. The network helps show where J. A. Keats may publish in the future.

Co-authorship network of co-authors of J. A. Keats

This figure shows the co-authorship network connecting the top 25 collaborators of J. A. Keats. A scholar is included among the top collaborators of J. A. Keats 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 J. A. Keats. J. A. Keats 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 14
2 2
3 62
4 32
5
Mathematical and theoretical systems
35
6
Cognitive development : research based on a neo-Piagetian approach
23
7 16
8 25
9
A selection from John Keats
1
10 13
11
An introduction to quantitative psychology
19
12
Letters of John Keats : a new selection
5
13
Letters of John Keats : a selection
25
14 1
15 12
16 1
17 2
18 2
19 4
20 1

About J. A. Keats

J. A. Keats is a scholar working on Applied Psychology, Statistics and Probability and Safety Research, having authored 45 papers that have together received 705 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (4 papers), Youth Development and Social Support (4 papers) and Statistical Methods and Bayesian Inference (3 papers). The work is most often cited by research in Statistics and Probability (114 citations), Applied Psychology (64 citations) and General Decision Sciences (17 citations). J. A. Keats has collaborated with scholars based in Australia, United States and Malaysia. Frequent co-authors include Frederic M. Lord, Daphne M. Keats, Michael D. Hunter, Rosemary A. Webster, Norman Cliff, Barbara J. Bank, Bruce J. Biddle, Robert Gittings, Ragnar Hauge and Don Anderson. Their work appears in journals such as Journal of Personality and Social Psychology, Psychometrika and Sociology of Education.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026