Brad MacKay

39 papers receiving 1.1k citations

Peers

Brad MacKay
Comparison fields: 5 of 123
  • Organizational Behavior and Human Resource Management 386
  • Strategy and Management 374
  • Management Science and Operations Research 227
  • Public Administration 50
  • Management of Technology and Innovation 80
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Michael Lawrence United States
Laure Cabantous United Kingdom
Jonathon Mote United States
Peter Murray Australia
Dave Day United Kingdom
Steven N. S. Cheung Hong Kong
Richard C. Hoffman United States
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Citations per field
00.5×4.9×
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Citations per year

Countries citing papers authored by Brad MacKay

Since Specialization
Citations

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

Fields of papers citing papers by Brad MacKay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Brad MacKay, 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 Brad MacKay Line = papers co-authored together Brad MacKay links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007295
2 2012173
3 1983122
4 201271
5 201261
6 200359
7 200440
8
Training and Competitiveness
199138
9 200937
10 201237
11 202035
12 200931
13 201823
14 201620
15 200616
16 202015
17 201214
18 200613
19 200713
20 202012

About Brad MacKay

Brad MacKay is a scholar working on Organizational Behavior and Human Resource Management, Strategy and Management, Management Science and Operations Research, General Health Professions and Sociology and Political Science, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Management and Organizational Studies (10 papers), Complex Systems and Decision Making (8 papers), Innovation and Knowledge Management (5 papers), Primary Care and Health Outcomes (4 papers), Cognitive Science and Mapping (4 papers), Sustainability and Climate Change Governance (4 papers), Global Health Workforce Issues (3 papers) and Healthcare Policy and Management (3 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (386 citations), Strategy and Management (374 citations), Management Science and Operations Research (227 citations), Public Administration (50 citations) and Management of Technology and Innovation (80 citations). Brad MacKay has collaborated with scholars based in United Kingdom, United States and Austria. Frequent co-authors include Robert Chia, Peter McKiernan, Iain Munro, Timothy P. Moulton, Michael A. Borowitzka, Gary Bowman, F. J. Post, L. J. Borowitzka, John Stevens and Gavin L. Butler. Their work appears in journals such as Technological Forecasting and Social Change, Canadian Medical Association Journal, Futures, Human Relations and Marine and Freshwater Research.

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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