Sue Shepherd

11 papers receiving 257 citations

Peers

Sue Shepherd
Comparison fields: 5 of 41
  • Gender Studies 72
  • Neuropsychology and Physiological Psychology 8
  • Organizational Behavior and Human Resource Management 53
  • Demography 55
  • Public Administration 14
Replace Sara Diogo with:
Sara Diogo Portugal
Lionel Prouteau France
Marjut Jyrkinen Finland
Emma Carmel United Kingdom
Simona Comi Italy
Jean Gardiner United Kingdom
Caitrin Lynch United States
Paul Ransome United Kingdom
Hans Siebers Netherlands
Steve Woodfield United Kingdom
Sue Shepherd relative to Sara Diogo Portugal Sara Diogo's profile →
Citations per field
00.5×6.1×
Sara Diogo · 1×
Citations per year

Countries citing papers authored by Sue Shepherd

Since Specialization
Citations

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

Fields of papers citing papers by Sue Shepherd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Sue Shepherd, 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 Sue Shepherd Line = papers co-authored together Sue Shepherd links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2017112
2 201777
3 201847
4 201818
5 201712
6 20167
7 20173
8
Appointing Pro Vice Chancellors in Pre-1992 Universities: Different Process, Same Results? Conference Presentation
20122
9
There's a gulf between academics and university management - and it's growing
20172
10
End the Blame Game:Targeting Managers Won't Cure Universities' Ills
20141
11
Still too male and white at the top? Don't blame headhunters
20151
12
Four Myths About Why Women Aren't Getting the Top Jobs in Universities
20150

About Sue Shepherd

Sue Shepherd is a scholar working on Political Science and International Relations, Gender Studies, Organizational Behavior and Human Resource Management, General Health Professions and Demography, having authored 12 papers that have together received 282 indexed citations. Recurring topics across this work include Higher Education Governance and Development (4 papers), Gender Diversity and Inequality (3 papers), Management and Organizational Studies (2 papers), Retirement, Disability, and Employment (2 papers), Employment and Welfare Studies (2 papers), Labor market dynamics and wage inequality (1 paper), Human Resource and Talent Management (1 paper) and Higher Education and Employability (1 paper). The work is most often cited by research in Gender Studies (72 citations), Neuropsychology and Physiological Psychology (8 citations), Organizational Behavior and Human Resource Management (53 citations), Demography (55 citations) and Public Administration (14 citations). Sue Shepherd has collaborated with scholars based in United Kingdom. Frequent co-authors include Chris Phillipson, Sarah Vickerstaff, Mark Robinson, Andrew Weyman, Joanne Crawford, Wendy Loretto and David Wainwright. Their work appears in journals such as Higher Education Quarterly, Social Policy and Society, Management in Education, Ageing and Society and Studies in Higher 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.

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