B. J. Fogg
- Sociology and Political Science top 0.2%
- Human-Computer Interaction top 0.05%
- Social Psychology top 0.5%
- Artificial Intelligence top 1%
- Information Systems and Management top 0.2%
- Co-authors
- Clifford NassYoungme MoonByron ReevesD. Christopher DryerEllen R. TauberDavid R. DanielsonDean EcklesJonathan Marshall
- Topics
- Innovative Human-Technology Interaction (13 papers)Misinformation and Its Impacts (8 papers)Digital Marketing and Social Media (7 papers)
- Journals
- Communications of the ACMThe Lancet Diabetes & EndocrinologyInternational Journal of Human-Computer Studies
- Partner nations
- United StatesSwitzerlandNetherlands
In The Last Decade
B. J. Fogg
48 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Sociology and Political Science 2.9k
- Human-Computer Interaction 1.7k
- Social Psychology 1.3k
- Artificial Intelligence 1.1k
- Information Systems and Management 1.0k
Countries citing papers authored by B. J. Fogg
This map shows the geographic impact of B. J. Fogg'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 B. J. Fogg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. J. Fogg more than expected).
Fields of papers citing papers by B. J. Fogg
This network shows the impact of papers produced by B. J. Fogg. 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 B. J. Fogg. The network helps show where B. J. Fogg may publish in the future.
Co-authorship network of co-authors of B. J. Fogg
This figure shows the co-authorship network connecting the top 25 collaborators of B. J. Fogg. A scholar is included among the top collaborators of B. J. Fogg 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 B. J. Fogg. B. J. Fogg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 112 | |
| 3 | 85 | |
| 4 | 6 | |
| 5 | 16 | |
| 6 | 192 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 16 | |
| 10 | 216 | |
| 11 | 391 | |
| 12 | Persuasive technologybreakdown → | 813 |
| 13 | 475 | |
| 14 | 76 | |
| 15 | 34 | |
| 16 | 1 | |
| 17 | 61 | |
| 18 | 247 | |
| 19 | Computers are social actors: a review of current research | 90 |
| 20 | 6 |
About B. J. Fogg
B. J. Fogg is a scholar working on Human-Computer Interaction, Communication and Sociology and Political Science, having authored 49 papers that have together received 7.3k indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (13 papers), Misinformation and Its Impacts (8 papers) and Digital Marketing and Social Media (7 papers). The work is most often cited by research in Human-Computer Interaction (1.7k citations), Applied Psychology (942 citations) and Information Systems and Management (1.0k citations). B. J. Fogg has collaborated with scholars based in United States, Switzerland and Netherlands. Frequent co-authors include Clifford Nass, Youngme Moon, Byron Reeves, D. Christopher Dryer, Ellen R. Tauber, David R. Danielson, Dean Eckles, Jonathan Marshall, John Shon and Chris Varma. Their work appears in journals such as Communications of the ACM, The Lancet Diabetes & Endocrinology and International Journal of Human-Computer Studies.
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.