Brendan Meeder
- Statistical and Nonlinear Physics top 1%
- Artificial Intelligence top 5%
- Sociology and Political Science top 5%
- Communication top 2%
- Information Systems top 5%
- Co-authors
- Daniel M. RomeroJon KleinbergBurr SettlesChristos FaloutsosLeman AkogluHanghang TongJustin ChengU Kang
- Topics
- Complex Network Analysis Techniques (7 papers)Opinion Dynamics and Social Influence (4 papers)Social Media and Politics (2 papers)
- Journals
- IEEE Transactions on Knowledge and Data EngineeringProceedings of the International AAAI Conference on Web and Social MediaZenodo (CERN European Organization for Nuclear Research)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Brendan Meeder
9 papers receiving 951 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Statistical and Nonlinear Physics 614
- Artificial Intelligence 350
- Sociology and Political Science 292
- Communication 219
- Information Systems 196
Countries citing papers authored by Brendan Meeder
This map shows the geographic impact of Brendan Meeder'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 Brendan Meeder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brendan Meeder more than expected).
Fields of papers citing papers by Brendan Meeder
This network shows the impact of papers produced by Brendan Meeder. 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 Brendan Meeder. The network helps show where Brendan Meeder may publish in the future.
Co-authorship network of co-authors of Brendan Meeder
This figure shows the co-authorship network connecting the top 25 collaborators of Brendan Meeder. A scholar is included among the top collaborators of Brendan Meeder 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 Brendan Meeder. Brendan Meeder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 20 | |
| 3 | 105 | |
| 4 | 35 | |
| 5 | 73 | |
| 6 | 52 | |
| 7 | Differences in the mechanics of information diffusion across topicsbreakdown → | 669 |
| 8 | 43 | |
| 9 | Measuring online service availability using twitter | 26 |
About Brendan Meeder
Brendan Meeder is a scholar working on Statistical and Nonlinear Physics, Communication and Transportation, having authored 9 papers that have together received 1.0k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (7 papers), Opinion Dynamics and Social Influence (4 papers) and Social Media and Politics (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (614 citations), Communication (219 citations) and Computer Science Applications (59 citations). Brendan Meeder has collaborated with scholars based in United States and South Korea. Frequent co-authors include Daniel M. Romero, Jon Kleinberg, Burr Settles, Christos Faloutsos, Leman Akoglu, Hanghang Tong, Justin Cheng, U Kang, Evangelos E. Papalexakis and Amin Sayedi. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the International AAAI Conference on Web and Social Media and Zenodo (CERN European Organization for Nuclear 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.