Sue Ann Campbell
- Computer Networks and Communications top 0.5%
- Statistical and Nonlinear Physics top 0.5%
- Cognitive Neuroscience top 5%
- Control and Systems Engineering top 2%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- Jacques BélairP. van den DriesscheSehjeong KimXinzhi LiuHuaiping ZhuGail S. K. WolkowiczYuan YuanJohn Milton
- Topics
- Nonlinear Dynamics and Pattern Formation (37 papers)Neural dynamics and brain function (27 papers)stochastic dynamics and bifurcation (27 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsModeling and Simulation
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Sue Ann Campbell
71 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 129
- Computer Networks and Communications 1.5k
- Statistical and Nonlinear Physics 1.1k
- Cognitive Neuroscience 492
- Control and Systems Engineering 484
- Public Health, Environmental and Occupational Health 440
Countries citing papers authored by Sue Ann Campbell
This map shows the geographic impact of Sue Ann Campbell'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 Sue Ann Campbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sue Ann Campbell more than expected).
Fields of papers citing papers by Sue Ann Campbell
This network shows the impact of papers produced by Sue Ann Campbell. 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 Sue Ann Campbell. The network helps show where Sue Ann Campbell may publish in the future.
Co-authorship network of co-authors of Sue Ann Campbell
This figure shows the co-authorship network connecting the top 25 collaborators of Sue Ann Campbell. A scholar is included among the top collaborators of Sue Ann Campbell 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 Sue Ann Campbell. Sue Ann Campbell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 8 | |
| 9 | 11 | |
| 10 | 20 | |
| 11 | 13 | |
| 12 | 20 | |
| 13 | 11 | |
| 14 | 43 | |
| 15 | 20 | |
| 16 | 16 | |
| 17 | 195 | |
| 18 | 36 | |
| 19 | 165 | |
| 20 | 150 |
About Sue Ann Campbell
Sue Ann Campbell is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Cognitive Neuroscience, having authored 74 papers that have together received 2.7k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (37 papers), Neural dynamics and brain function (27 papers) and stochastic dynamics and bifurcation (27 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.1k citations), Computer Networks and Communications (1.5k citations) and Modeling and Simulation (154 citations). Sue Ann Campbell has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Jacques Bélair, P. van den Driessche, Sehjeong Kim, Xinzhi Liu, Huaiping Zhu, Gail S. K. Wolkowicz, Yuan Yuan, John Milton, Philip Holmes and Toru Ohira. Their work appears in journals such as Journal of Neurophysiology, The FASEB Journal and Neuroscience.
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.