Mark Boons
Impact in
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- Open Source Software Innovations
- Mobile Crowdsensing and Crowdsourcing
- Communication top 10%
- Knowledge Management and Sharing
Papers in
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- Digital Economy and Work Transformation 3
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- Innovation and Knowledge Management 3
- Co-authors
- Daan Stam (3 shared papers)Harry G. Barkema (3 shared papers)Jeroen Meijerink (3 shared papers)Janet H. Marler (2 shared papers)Anne Keegan (2 shared papers)Yla Tausczik (1 shared paper)Amanda J. Porter (1 shared paper)Philipp Tuertscher (1 shared paper)
- Journals
- Research Policy (2 papers)The International Journal of Human Resource Management (2 papers)Journal of Management Studies (1 paper)IEEE Transactions on Engineering Management (1 paper)Data Archiving and Networked Services (DANS) (1 paper)
- Partner nations
- NetherlandsIrelandUnited Kingdom
In The Last Decade
Mark Boons
10 papers receiving 277 citations
Peers
Comparison fields: 5 of 44
- Computer Science Applications 95
- Communication 60
- Organizational Behavior and Human Resource Management 86
- Marketing 56
- Health Informatics 7
Countries citing papers authored by Mark Boons
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 114 | |
| 2 | 2015 | 110 | |
| 3 | 2019 | 38 | |
| 4 | 2018 | 11 | |
| 5 | 2018 | 8 | |
| 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 | 2014 | 5 |
| 7 | 2022 | 3 | |
| 8 | 2013 | 2 | |
| 9 | 2020 | 2 | |
| 10 | 2013 | 1 | |
| 11 | 2025 | 0 |
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 294 indexed citations. Recurring topics across this work include Open Source Software Innovations (3 papers), Innovation and Knowledge Management (3 papers), Digital Economy and Work Transformation (3 papers), Knowledge Management and Sharing (3 papers), AI and HR Technologies (2 papers), Employer Branding and e-HRM (2 papers), Advanced Text Analysis Techniques (1 paper) and Complex Systems and Decision Making (1 paper). The work is most often cited by research in Computer Science Applications (95 citations), Communication (60 citations), Organizational Behavior and Human Resource Management (86 citations), Marketing (56 citations) and Health Informatics (7 citations). Mark Boons has collaborated with scholars based in Netherlands, Ireland and United Kingdom. Frequent co-authors include Daan Stam, Harry G. Barkema, Jeroen Meijerink, Janet H. Marler, Anne Keegan, Yla Tausczik, Amanda J. Porter, Philipp Tuertscher, Luca Berchicci and Anna B. Holm. 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 Data Archiving and Networked Services (DANS).
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.