Johan Ugander
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Communication top 5%
- Social Media and Politics
Papers in
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- Complex Network Analysis Techniques 22
- Opinion Dynamics and Social Influence 14
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- Advanced Causal Inference Techniques 6
- Co-authors
- Lars Bäckström (5 shared papers)Jon Kleinberg (7 shared papers)Cameron Marlow (1 shared paper)Marco Rosa (1 shared paper)Sebastiano Vigna (1 shared paper)Paolo Boldi (1 shared paper)Brian Karrer (3 shared papers)Dean Eckles (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Journal of Causal Inference (3 papers)Network Science (1 paper)Biometrika (1 paper)Operations Research (1 paper)
- Partner nations
- United StatesIsraelSweden
In The Last Decade
Johan Ugander
39 papers receiving 1.6k citations
Johan Ugander's Hit Papers
Peers
Comparison fields: 5 of 113
- Statistical and Nonlinear Physics 844
- Communication 178
- Statistics and Probability 144
- Computer Networks and Communications 326
- Computer Vision and Pattern Recognition 243
Countries citing papers authored by Johan Ugander
This map shows the geographic impact of Johan Ugander'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 Johan Ugander with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johan Ugander more than expected).
Fields of papers citing papers by Johan Ugander
This network shows the impact of papers produced by Johan Ugander. 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 Johan Ugander. The network helps show where Johan Ugander may publish in the future.
Co-authors
The 25 scholars most cited alongside Johan Ugander, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Structural diversity in social contagion Hit paper breakdown → | 2012 | 497 |
| 2 | Four degrees of separation Hit paper breakdown → | 2012 | 321 |
| 3 | 2013 | 129 | |
| 4 | 2016 | 99 | |
| 5 | 2013 | 89 | |
| 6 | 2013 | 89 | |
| 7 | 2013 | 86 | |
| 8 | 2021 | 67 | |
| 9 | 2016 | 45 | |
| 10 | 2018 | 43 | |
| 11 | 2015 | 32 | |
| 12 | 2016 | 20 | |
| 13 | 2021 | 20 | |
| 14 | 2019 | 16 | |
| 15 | 2023 | 16 | |
| 16 | 2021 | 13 | |
| 17 | 2018 | 12 | |
| 18 | A concave regularization technique for sparse mixture models | 2011 | 10 |
| 19 | 2020 | 10 | |
| 20 | Pairwise Choice Markov Chains | 2016 | 9 |
About Johan Ugander
Johan Ugander is a scholar working on Statistical and Nonlinear Physics, Statistics and Probability, Artificial Intelligence, Management Science and Operations Research and General Decision Sciences, having authored 46 papers that have together received 1.7k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (22 papers), Opinion Dynamics and Social Influence (14 papers), Advanced Causal Inference Techniques (6 papers), Advanced Graph Neural Networks (6 papers), Consumer Market Behavior and Pricing (4 papers), Graph Theory and Algorithms (3 papers), Social Media and Politics (3 papers) and Economic and Environmental Valuation (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (844 citations), Communication (178 citations), Statistics and Probability (144 citations), Computer Networks and Communications (326 citations) and Computer Vision and Pattern Recognition (243 citations). Johan Ugander has collaborated with scholars based in United States, Israel and Sweden. Frequent co-authors include Lars Bäckström, Jon Kleinberg, Cameron Marlow, Marco Rosa, Sebastiano Vigna, Paolo Boldi, Brian Karrer, Dean Eckles, Isabel M. Kloumann and Abigail Z. Jacobs. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Causal Inference, Network Science, Biometrika and Operations Research.
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.