J. Jack McArdle
- Experimental and Cognitive Psychology top 10%
- Management Science and Operations Research top 5%
- Statistics and Probability top 5%
- Computer Networks and Communications top 10%
- Cognitive Neuroscience
- Co-authors
- Roderick P. McDonaldRaymond B. CattellJohn L. HornFerenc JoleszRon KikinisKelvyn JonesMarilyn S. AlbertAvron Spiro
- Topics
- Cognitive Science and Mapping (2 papers)Mental Health Research Topics (2 papers)Functional Brain Connectivity Studies (1 paper)
- Cited by
- Neuropsychology and Physiological PsychologyExperimental and Cognitive PsychologyStatistics and Probability
- Journals
- The Journals of Gerontology Series BThe Quarterly Review of BiologyBehavior Research Methods
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
J. Jack McArdle
10 papers receiving 460 citations
Peers
Comparison fields: 5 of 98
- Experimental and Cognitive Psychology 149
- Management Science and Operations Research 120
- Statistics and Probability 90
- Computer Networks and Communications 69
- Cognitive Neuroscience 66
Countries citing papers authored by J. Jack McArdle
This map shows the geographic impact of J. Jack McArdle'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. Jack McArdle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Jack McArdle more than expected).
Fields of papers citing papers by J. Jack McArdle
This network shows the impact of papers produced by J. Jack McArdle. 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. Jack McArdle. The network helps show where J. Jack McArdle may publish in the future.
Co-authorship network of co-authors of J. Jack McArdle
This figure shows the co-authorship network connecting the top 25 collaborators of J. Jack McArdle. A scholar is included among the top collaborators of J. Jack McArdle 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. Jack McArdle. J. Jack McArdle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 97 | |
| 2 | 2 | |
| 3 | 54 | |
| 4 | 3 | |
| 5 | 10 | |
| 6 | 244 | |
| 7 | 3 | |
| 8 | When is invariance not invarient: A practical scientist's look at the ethereal concept of factor invariance. | 50 |
| 9 | 3 | |
| 10 | 45 |
About J. Jack McArdle
J. Jack McArdle is a scholar working on Experimental and Cognitive Psychology, Gender Studies and Management Science and Operations Research, having authored 10 papers that have together received 511 indexed citations. Recurring topics across this work include Cognitive Science and Mapping (2 papers), Mental Health Research Topics (2 papers) and Functional Brain Connectivity Studies (1 paper). The work is most often cited by research in Neuropsychology and Physiological Psychology (24 citations), Experimental and Cognitive Psychology (149 citations) and Statistics and Probability (90 citations). J. Jack McArdle has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Roderick P. McDonald, Raymond B. Cattell, John L. Horn, Ferenc Jolesz, Ron Kikinis, Kelvyn Jones, Marilyn S. Albert, Avron Spiro and Roger Seifert. Their work appears in journals such as The Journals of Gerontology Series B, The Quarterly Review of Biology and Behavior Research Methods.
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.