Stephen McKay

79 papers receiving 1.2k citations

Peers

Stephen McKay
Comparison fields: 5 of 136
  • Finance 268
  • Public Administration 70
  • Accounting 211
  • Business and International Management 28
  • Gender Studies 121
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Citations per year

Countries citing papers authored by Stephen McKay

Since Specialization
Citations

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

Fields of papers citing papers by Stephen McKay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007178
2 2013127
3 200497
4 201168
5
Attitudes to inheritance in Britain
200564
6
The Economic Problems of Disabled People
199358
7
The ambitions and challenges of SROI.
201056
8 201444
9
Empirical Derivation of Neuropsychological Scales for the Lateralization of Brain Damage Using the Luria Nebraska Neuropsychology Test Battery.
197934
10 200534
11
Developing Deprivation Questions for the Family Resources Survey
200433
12 198427
13 201326
14
Empirical Derivation of Experimental Scales for Localizing Brain Lesions Using the Luria-Nebraska Neuropsychological Battery.
197925
15 198625
16 201325
17
Lone Parent Families: Gender, Class and State
200122
18 201122
19 198122
20
Exploring disability, family formation and break-up: reviewing the evidence
200816

About Stephen McKay

Stephen McKay is a scholar working on Sociology and Political Science, Political Science and International Relations, Gender Studies, General Health Professions and Finance, having authored 84 papers that have together received 1.4k indexed citations. Recurring topics across this work include Social Policy and Reform Studies (14 papers), Gender, Labor, and Family Dynamics (8 papers), Housing, Finance, and Neoliberalism (8 papers), Family Dynamics and Relationships (6 papers), Financial Literacy, Pension, Retirement Analysis (6 papers), Intergenerational Family Dynamics and Caregiving (6 papers), Healthcare innovation and challenges (5 papers) and Nonprofit Sector and Volunteering (4 papers). The work is most often cited by research in Finance (268 citations), Public Administration (70 citations), Accounting (211 citations), Business and International Management (28 citations) and Gender Studies (121 citations). Stephen McKay has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Karen Rowlingson, Sharon Collard, Domenico Moro, Charles J. Golden, Fergus Lyon, Malin Arvidson, Adèle Atkinson, Elaine Kempson, Simon Teasdale and Harriet Clarke. Their work appears in journals such as Social Policy and Administration, Journal of Cereal Science, Journal of Consulting and Clinical Psychology, Journal of Poverty and Social Justice and Social Policy and 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.

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