Cliff C. Kerr
- Cognitive Neuroscience top 5%
- Infectious Diseases top 5%
- Modeling and Simulation top 0.5%
- Epidemiology top 10%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- P. A. RobinsonChristopher RennieRobyn M. StuartWilliam W. LyttonSacha J. van AlbadaDina MistryDaniel J. KleinSamuel A. Neymotin
- Topics
- Neural dynamics and brain function (23 papers)HIV/AIDS Research and Interventions (21 papers)COVID-19 epidemiological studies (18 papers)
- Partner nations
- AustraliaUnited StatesDenmark
In The Last Decade
Cliff C. Kerr
78 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 133
- Cognitive Neuroscience 544
- Infectious Diseases 414
- Modeling and Simulation 364
- Epidemiology 299
- Cellular and Molecular Neuroscience 217
Countries citing papers authored by Cliff C. Kerr
This map shows the geographic impact of Cliff C. Kerr'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 Cliff C. Kerr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cliff C. Kerr more than expected).
Fields of papers citing papers by Cliff C. Kerr
This network shows the impact of papers produced by Cliff C. Kerr. 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 Cliff C. Kerr. The network helps show where Cliff C. Kerr may publish in the future.
Co-authorship network of co-authors of Cliff C. Kerr
This figure shows the co-authorship network connecting the top 25 collaborators of Cliff C. Kerr. A scholar is included among the top collaborators of Cliff C. Kerr 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 Cliff C. Kerr. Cliff C. Kerr 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 | 3 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 19 | |
| 8 | 16 | |
| 9 | Modelling the impact of reducing control measures on the COVID-19 pandemic in a low transmission setting | 2 |
| 10 | 88 | |
| 11 | 9 | |
| 12 | Network analysis of task-oriented neuroimaging data via multivariate information-theoretic measures | 0 |
| 13 | 5 | |
| 14 | 12 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 30 | |
| 18 | 144 | |
| 19 | 60 | |
| 20 | 12 |
About Cliff C. Kerr
Cliff C. Kerr is a scholar working on Modeling and Simulation, Infectious Diseases and Cognitive Neuroscience, having authored 85 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (23 papers), HIV/AIDS Research and Interventions (21 papers) and COVID-19 epidemiological studies (18 papers). The work is most often cited by research in Modeling and Simulation (364 citations), Cognitive Neuroscience (544 citations) and Infectious Diseases (414 citations). Cliff C. Kerr has collaborated with scholars based in Australia, United States and Denmark. Frequent co-authors include P. A. Robinson, Christopher Rennie, Robyn M. Stuart, William W. Lytton, Sacha J. van Albada, Dina Mistry, Daniel J. Klein, Samuel A. Neymotin, Alan Chiang and Jasmina Panovska‐Griffiths. Their work appears in journals such as Nature Communications, PLoS ONE and NeuroImage.
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.