Ultan Sherman

16 papers receiving 754 citations

Hit Papers

Algorithmic management and app‐work in the gig economy: A research agenda for employment relations and HRM 2019 · 520 citations
5202019202620212023100200300400500

Peers

Ultan Sherman
Comparison fields: 5 of 57
  • Marketing 320
  • Sociology and Political Science 600
  • Organizational Behavior and Human Resource Management 135
  • Demography 152
  • Safety Research 81
Replace Hatim A. Rahman with:
Hatim A. Rahman United States
Peter Kalum Schou Norway
Antonio Aloisi Spain
Matthias Waldkirch Germany
Michael Dunn United States
Sean McGinley United States
Ivana Pais Italy
Karen Gregory United Kingdom
Tui McKeown Australia
Neeru Malhotra United Kingdom
Ultan Sherman relative to Hatim A. Rahman United States Hatim A. Rahman's profile →
Citations per field
00.5×10×20×29×
Hatim A. Rahman · 1×
Citations per year

Countries citing papers authored by Ultan Sherman

Since Specialization
Citations

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

Fields of papers citing papers by Ultan Sherman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 23 scholars most cited alongside Ultan Sherman, 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 Ultan Sherman Line = papers co-authored together Ultan Sherman links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 20251
2 20243
3 202359
4 20232
5 20221
6 202165
7 202139
8 20219
9 202110
10 20202
11
Algorithmic management and app‐work in the gig economy: A research agenda for employment relations and HRM
Hit paper breakdown →
2019520
12 20198
13 201921
14 20184
15 20168
16 201547

About Ultan Sherman

Ultan Sherman is a scholar working on Marketing, Sociology and Political Science, Automotive Engineering, General Health Professions and Communication, having authored 16 papers that have together received 799 indexed citations. Recurring topics across this work include Digital Economy and Work Transformation (11 papers), Sharing Economy and Platforms (10 papers), Employment and Welfare Studies (6 papers), Transportation and Mobility Innovations (3 papers), Cognitive and psychological constructs research (1 paper), Management and Organizational Studies (1 paper), Job Satisfaction and Organizational Behavior (1 paper) and Management Theory and Practice (1 paper). The work is most often cited by research in Marketing (320 citations), Sociology and Political Science (600 citations), Organizational Behavior and Human Resource Management (135 citations), Demography (152 citations) and Safety Research (81 citations). Ultan Sherman has collaborated with scholars based in Ireland, Australia and Netherlands. Frequent co-authors include Ronan Carbery, Anthony McDonnell, James Duggan, Michael Morley, John Burgess, Samantha D. Hansen, Johannes Marcelus Kraak, Sarah Bankins, Yannick Griep and Paul Jansen. Their work appears in journals such as The International Journal of Human Resource Management, Human Resource Management Journal, Human Resource Management, European Journal of Work and Organizational Psychology and Group & Organization Management.

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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