Gemma Donnelly‐Cox

12 papers receiving 70 citations

Peers

Gemma Donnelly‐Cox
Comparison fields: 5 of 37
  • Sociology and Political Science 44
  • Finance 23
  • Public Administration 18
  • Organizational Behavior and Human Resource Management 17
  • Management of Technology and Innovation 15
Replace Cor van Montfort with:
Cor van Montfort Netherlands
Nikos Hlepas Switzerland
Silvana Sciarra Italy
Stefanie Hürtgen Austria
Edmund Dell United Kingdom
Manfred Röber Germany
Leo Kißler Germany
Alexander Katsaitis United Kingdom
Sheldon Leader United Kingdom
Stephen B. Burbank United States
Gemma Donnelly‐Cox relative to Cor van Montfort Netherlands Cor van Montfort's profile →
Citations per field
00.5×4.6×
Cor van Montfort · 1×
Citations per year

Countries citing papers authored by Gemma Donnelly‐Cox

Since Specialization
Citations

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

Fields of papers citing papers by Gemma Donnelly‐Cox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gemma Donnelly‐Cox. 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 Gemma Donnelly‐Cox. The network helps show where Gemma Donnelly‐Cox may publish in the future.

Co-authorship network of co-authors of Gemma Donnelly‐Cox

This figure shows the co-authorship network connecting the top 25 collaborators of Gemma Donnelly‐Cox. A scholar is included among the top collaborators of Gemma Donnelly‐Cox 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 Gemma Donnelly‐Cox. Gemma Donnelly‐Cox is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 3
2 0
3 13
4 6
5 6
6 2
7 11
8 7
9 1
10 8
11
Social Entrepreneurship as a Performance Landscape: The Case of 'Front Line'
6
12 4
13 1
14 13

About Gemma Donnelly‐Cox

Gemma Donnelly‐Cox is a scholar working on Business and International Management, Public Administration and Management of Technology and Innovation, having authored 14 papers that have together received 81 indexed citations. Recurring topics across this work include Nonprofit Sector and Volunteering (7 papers), Community Development and Social Impact (3 papers) and Public Policy and Administration Research (2 papers). The work is most often cited by research in Public Administration (18 citations), Business and International Management (6 citations) and Finance (23 citations). Gemma Donnelly‐Cox has collaborated with scholars based in Ireland, United Kingdom and Sweden. Frequent co-authors include Mary Lee Rhodes, Filip Wijkström, Siobhán McQuaid, Jenny Harrow, Andrew O’Regan, Amanda Shantz and Caroline Reid. Their work appears in journals such as International Journal of Management Reviews, Nonprofit and Voluntary Sector Quarterly and VOLUNTAS International Journal of Voluntary and Nonprofit Organizations.

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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