Mark Boons

458 citations
11 papers · 335 · 1 hit paper · h-index 6

Impact in

Papers in

Mark Boons

11 papers receiving 316 citations

Mark Boons's Hit Papers

Algorithmic human resource management: Synthesizing developments and cross-disciplinary insights on digital HRM 2021 · 136 citations
1360+1+3Years since publication4080120

Peers

Mark Boons
Comparison fields: 5 of 45
  • Computer Science Applications 100
  • Organizational Behavior and Human Resource Management 100
  • Communication 64
  • Marketing 59
  • Health Informatics 8
Replace Patricia G. Vidal with:
Patricia G. Vidal Brazil
Vincenzo Cavaliere Italy
Boyka Simeonova United Kingdom
Alamir N. Al-Alawi Egypt
Kojo Kakra Twum Ghana
Gustavo Guzmán Australia
Andri Dayarana K. Silalahi Taiwan
Joseph M. Golden United States
Annemarie Davis South Africa
Tong Che China
Mark Boons relative to Patricia G. Vidal Brazil Patricia G. Vidal's profile →
Citations per field
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Patricia G. Vidal · 1×
Citations per year

Countries citing papers authored by Mark Boons

Since Specialization
Citations

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

Fields of papers citing papers by Mark Boons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Mark Boons, 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 Mark Boons Line = papers co-authored together Mark Boons links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Algorithmic human resource management: Synthesizing developments and cross-disciplinary insights on digital HRM
Hit paper breakdown →
2021136
2 2015118
3 201942
4 201815
5 20188
6
Working Together Alone in the Online Crowd: The effects of social motivations and individual knowledge backgrounds on the participation and performance of members of online crowdsourcing platforms
20146
7 20224
8 20132
9 20202
10 20251
11 20131

About Mark Boons

Mark Boons is a scholar working on Sociology and Political Science, Strategy and Management, Computer Science Applications, Communication and Economics and Econometrics, having authored 11 papers that have together received 335 indexed citations. Recurring topics across this work include Knowledge Management and Sharing (3 papers), Innovation and Knowledge Management (3 papers), Digital Economy and Work Transformation (3 papers), Open Source Software Innovations (3 papers), AI and HR Technologies (2 papers), Employer Branding and e-HRM (2 papers), Corporate Social Responsibility Reporting (1 paper) and Misinformation and Its Impacts (1 paper). The work is most often cited by research in Computer Science Applications (100 citations), Organizational Behavior and Human Resource Management (100 citations), Communication (64 citations), Marketing (59 citations) and Health Informatics (8 citations). Mark Boons has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Daan Stam, Harry G. Barkema, Janet H. Marler, Jeroen Meijerink, Anne Keegan, Yla Tausczik, Amanda J. Porter, Luca Berchicci, Philipp Tuertscher and Ronan Carbery. Their work appears in journals such as Research Policy, The International Journal of Human Resource Management, Journal of Management Studies, IEEE Transactions on Engineering Management and Academy of Management Proceedings.

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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