Patricia Shaw
- Management Science and Operations Research top 2%
- Organizational Behavior and Human Resource Management top 5%
- Sociology and Political Science top 10%
- Strategy and Management top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- Douglas GriffinRalph StaceyKovila CoopamootooKaren ElliottMagdalene NgTasos SpiliotopoulosAad van MoorselAlfred F. Connors
- Topics
- Complex Systems and Decision Making (4 papers)Management and Organizational Studies (3 papers)Ethics and Social Impacts of AI (2 papers)
- Cited by
- Management Science and Operations ResearchOrganizational Behavior and Human Resource ManagementStrategy and Management
- Partner nations
- United KingdomIndiaIreland
In The Last Decade
Patricia Shaw
12 papers receiving 643 citations
Peers
Comparison fields: 5 of 120
- Management Science and Operations Research 294
- Organizational Behavior and Human Resource Management 236
- Sociology and Political Science 160
- Strategy and Management 147
- Computational Theory and Mathematics 95
Countries citing papers authored by Patricia Shaw
This map shows the geographic impact of Patricia Shaw'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 Patricia Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patricia Shaw more than expected).
Fields of papers citing papers by Patricia Shaw
This network shows the impact of papers produced by Patricia Shaw. 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 Patricia Shaw. The network helps show where Patricia Shaw may publish in the future.
Co-authorship network of co-authors of Patricia Shaw
This figure shows the co-authorship network connecting the top 25 collaborators of Patricia Shaw. A scholar is included among the top collaborators of Patricia Shaw 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 Patricia Shaw. Patricia Shaw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 73 | |
| 3 | Complexity and Management: Fad or Radical Challenge to Systems Thinking? | 395 |
| 4 | Changing Conversations in Organizations: A Complexity Approach to Change | 130 |
| 5 | 4 | |
| 6 | 38 | |
| 7 | 43 | |
| 8 | 78 | |
| 9 | 40 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 7 |
About Patricia Shaw
Patricia Shaw is a scholar working on Management Science and Operations Research, Organizational Behavior and Human Resource Management and Safety Research, having authored 12 papers that have together received 815 indexed citations. Recurring topics across this work include Complex Systems and Decision Making (4 papers), Management and Organizational Studies (3 papers) and Ethics and Social Impacts of AI (2 papers). The work is most often cited by research in Management Science and Operations Research (294 citations), Organizational Behavior and Human Resource Management (236 citations) and Strategy and Management (147 citations). Patricia Shaw has collaborated with scholars based in United Kingdom, India and Ireland. Frequent co-authors include Douglas Griffin, Ralph Stacey, Kovila Coopamootoo, Karen Elliott, Magdalene Ng, Tasos Spiliotopoulos, Aad van Moorsel, Alfred F. Connors, Neal V. Dawson and Theodore Speroff. Their work appears in journals such as Computer, British Journal of Dermatology and Medical Decision Making.
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.