Ben Johnson
Impact in
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- Technology Adoption and User Behaviour
- Communication top 5%
- Knowledge Management and Sharing
- Social Media and Politics
Papers in
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- Cardiac pacing and defibrillation studies 1
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- Impact of Technology on Adolescents 2
- Digital Marketing and Social Media 2
- Co-authors
- Rupak Rauniar (2 shared papers)Greg Rawski (2 shared papers)Charles Oppenheim (2 shared papers)Jie Yang (1 shared paper)Renée DiResta (1 shared paper)Jonathan Albright (1 shared paper)Timothy Craig Hardcastle (1 shared paper)David James Jackson Muckart (1 shared paper)
- Journals
- Scientific Reports (1 paper)Journal of Enterprise Information Management (1 paper)Pediatric Pulmonology (1 paper)Journal of Documentation (1 paper)Scientometrics (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Ben Johnson
13 papers receiving 969 citations
Ben Johnson's Hit Papers
Peers
Comparison fields: 5 of 116
- Information Systems and Management 416
- Communication 165
- Marketing 133
- Sociology and Political Science 527
- Organizational Behavior and Human Resource Management 70
Countries citing papers authored by Ben Johnson
This map shows the geographic impact of Ben Johnson'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 Ben Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Johnson more than expected).
Fields of papers citing papers by Ben Johnson
This network shows the impact of papers produced by Ben Johnson. 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 Ben Johnson. The network helps show where Ben Johnson may publish in the future.
Co-authors
The 25 scholars most cited alongside Ben Johnson, 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 | Technology acceptance model (TAM) and social media usage: an empirical study on Facebook Hit paper breakdown → | 2014 | 646 |
| 2 | The tactics & tropes of the Internet Research Agency | 2018 | 60 |
| 3 | 2015 | 50 | |
| 4 | 2007 | 42 | |
| 5 | 2004 | 39 | |
| 6 | 2005 | 39 | |
| 7 | 2013 | 36 | |
| 8 | 2012 | 35 | |
| 9 | 2014 | 34 | |
| 10 | 2018 | 13 | |
| 11 | 2017 | 12 | |
| 12 | 2018 | 8 | |
| 13 | 2017 | 4 | |
| 14 | 2026 | 0 |
About Ben Johnson
Ben Johnson is a scholar working on Cardiology and Cardiovascular Medicine, Sociology and Political Science, Information Systems and Management, Periodontics and Statistics, Probability and Uncertainty, having authored 14 papers that have together received 1.0k indexed citations. Recurring topics across this work include Dental Health and Care Utilization (2 papers), Impact of Technology on Adolescents (2 papers), scientometrics and bibliometrics research (2 papers), Digital Marketing and Social Media (2 papers), Technology Adoption and User Behaviour (2 papers), Cystic Fibrosis Research Advances (1 paper), Cardiac pacing and defibrillation studies (1 paper) and Botulinum Toxin and Related Neurological Disorders (1 paper). The work is most often cited by research in Information Systems and Management (416 citations), Communication (165 citations), Marketing (133 citations), Sociology and Political Science (527 citations) and Organizational Behavior and Human Resource Management (70 citations). Ben Johnson has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Rupak Rauniar, Greg Rawski, Charles Oppenheim, Jie Yang, Renée DiResta, Jonathan Albright, Timothy Craig Hardcastle, David James Jackson Muckart, Dominic Y. Leung and Tony Stanton. Their work appears in journals such as Scientific Reports, Journal of Enterprise Information Management, Pediatric Pulmonology, Journal of Documentation and Scientometrics.
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.