Duy Vu
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Computer Science Applications top 10%
- Online Learning and Analytics
Papers in
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- Bayesian Methods and Mixture Models 5
-
- Complex Network Analysis Techniques 6
- Opinion Dynamics and Social Influence 2
- Co-authors
- David R. Hunter (4 shared papers)Arthur Asuncion (2 shared papers)Padhraic Smyth (2 shared papers)Philippa Pattison (1 shared paper)Garry Robins (1 shared paper)Shashank Khandelwal (1 shared paper)Marcel Salathé (1 shared paper)Francesca Pallotti (2 shared papers)
- Journals
- Social Networks (3 papers)EPJ Data Science (1 paper)Computational Statistics & Data Analysis (1 paper)Medical Care (1 paper)Physica A Statistical Mechanics and its Applications (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Duy Vu
15 papers receiving 545 citations
Peers
Comparison fields: 5 of 101
- Statistical and Nonlinear Physics 227
- Computer Science Applications 33
- Computational Mathematics 3
- Artificial Intelligence 159
- Organizational Behavior and Human Resource Management 48
Countries citing papers authored by Duy Vu
This map shows the geographic impact of Duy Vu'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 Duy Vu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duy Vu more than expected).
Fields of papers citing papers by Duy Vu
This network shows the impact of papers produced by Duy Vu. 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 Duy Vu. The network helps show where Duy Vu may publish in the future.
Co-authors
The 25 scholars most cited alongside Duy Vu, 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 | 2016 | 87 | |
| 2 | 2013 | 84 | |
| 3 | 2014 | 68 | |
| 4 | 2015 | 67 | |
| 5 | Continuous-Time Regression Models for Longitudinal Networks | 2011 | 56 |
| 6 | Dynamic Egocentric Models for Citation Networks | 2011 | 45 |
| 7 | MODEL-BASED CLUSTERING OF LARGE NETWORKS1 | 2012 | 35 |
| 8 | 2017 | 35 | |
| 9 | 2024 | 21 | |
| 10 | 2014 | 15 | |
| 11 | 2014 | 12 | |
| 12 | 2020 | 11 | |
| 13 | 2015 | 10 | |
| 14 | 2016 | 8 | |
| 15 | 2015 | 4 | |
| 16 | 2024 | 0 |
About Duy Vu
Duy Vu is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Statistics and Probability, Molecular Biology and General Health Professions, having authored 16 papers that have together received 558 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (6 papers), Bayesian Methods and Mixture Models (5 papers), Statistical Methods and Inference (3 papers), Census and Population Estimation (2 papers), Data-Driven Disease Surveillance (2 papers), Opinion Dynamics and Social Influence (2 papers), Online Learning and Analytics (1 paper) and Statistical Methods and Bayesian Inference (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (227 citations), Computer Science Applications (33 citations), Computational Mathematics (3 citations), Artificial Intelligence (159 citations) and Organizational Behavior and Human Resource Management (48 citations). Duy Vu has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include David R. Hunter, Arthur Asuncion, Padhraic Smyth, Philippa Pattison, Garry Robins, Shashank Khandelwal, Marcel Salathé, Francesca Pallotti, Alessandro Lomi and Daniele Mascia. Their work appears in journals such as Social Networks, EPJ Data Science, Computational Statistics & Data Analysis, Medical Care and Physica A Statistical Mechanics and its Applications.
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.