Jake M. Hofman
Impact in
- Statistical and Nonlinear Physics top 0.2%
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Communication top 0.5%
- Social Media and Politics
Papers in
-
- Advanced Text Analysis Techniques 4
- Explainable Artificial Intelligence (XAI) 4
-
- Complex Network Analysis Techniques 11
- Opinion Dynamics and Social Influence 10
- Co-authors
- Duncan J. Watts (12 shared papers)Winter Mason (4 shared papers)Eytan Bakshy (2 shared papers)Chris H. Wiggins (9 shared papers)Sharad Goel (5 shared papers)Shaomei Wu (1 shared paper)Amit Sharma (3 shared papers)Sébastien Lahaie (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)PLoS ONE (2 papers)Biophysical Journal (2 papers)Physical Review Letters (2 papers)International Journal of Forecasting (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Jake M. Hofman
49 papers receiving 4.9k citations
Jake M. Hofman's Hit Papers
Peers
Comparison fields: 5 of 177
- Statistical and Nonlinear Physics 1.7k
- Communication 811
- Transportation 222
- Sociology and Political Science 1.3k
- General Social Sciences 98
Countries citing papers authored by Jake M. Hofman
This map shows the geographic impact of Jake M. Hofman'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 Jake M. Hofman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jake M. Hofman more than expected).
Fields of papers citing papers by Jake M. Hofman
This network shows the impact of papers produced by Jake M. Hofman. 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 Jake M. Hofman. The network helps show where Jake M. Hofman may publish in the future.
Co-authors
The 25 scholars most cited alongside Jake M. Hofman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Everyone's an influencer Hit paper breakdown → | 2011 | 1133 |
| 2 | Who says what to whom on twitter Hit paper breakdown → | 2011 | 619 |
| 3 | Predicting consumer behavior with Web search Hit paper breakdown → | 2010 | 455 |
| 4 | The Structural Virality of Online Diffusion Hit paper breakdown → | 2015 | 362 |
| 5 | 2009 | 310 | |
| 6 | 2007 | 285 | |
| 7 | Prediction and explanation in social systems Hit paper breakdown → | 2017 | 272 |
| 8 | 2006 | 235 | |
| 9 | Integrating explanation and prediction in computational social science Hit paper breakdown → | 2021 | 205 |
| 10 | 2008 | 179 | |
| 11 | 2006 | 128 | |
| 12 | 2009 | 113 | |
| 13 | Scalable recommendation with hierarchical Poisson factorization | 2015 | 107 |
| 14 | 2010 | 104 | |
| 15 | 2008 | 100 | |
| 16 | 2016 | 82 | |
| 17 | 2009 | 55 | |
| 18 | 2020 | 46 | |
| 19 | 2024 | 37 | |
| 20 | 2010 | 28 |
About Jake M. Hofman
Jake M. Hofman is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Sociology and Political Science, Information Systems and Computer Vision and Pattern Recognition, having authored 53 papers that have together received 5.1k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (11 papers), Opinion Dynamics and Social Influence (10 papers), Data Visualization and Analytics (6 papers), Computational and Text Analysis Methods (4 papers), Data-Driven Disease Surveillance (4 papers), Digital Marketing and Social Media (4 papers), Advanced Text Analysis Techniques (4 papers) and Explainable Artificial Intelligence (XAI) (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.7k citations), Communication (811 citations), Transportation (222 citations), Sociology and Political Science (1.3k citations) and General Social Sciences (98 citations). Jake M. Hofman has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Duncan J. Watts, Winter Mason, Eytan Bakshy, Chris H. Wiggins, Sharad Goel, Shaomei Wu, Amit Sharma, Sébastien Lahaie, Ashton Anderson and David M. Pennock. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE, Biophysical Journal, Physical Review Letters and International Journal of Forecasting.
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.