Keith Bisset
- Modeling and Simulation top 0.5%
- Statistical and Nonlinear Physics top 2%
- Epidemiology
- Computer Networks and Communications top 5%
- Management Science and Operations Research top 5%
- Co-authors
- Madhav MaratheXizhou FengStephen EubankChristopher L. BarrettJiangzhuo ChenV. S. Anil KumarAchla MaratheChris Barrett
- Topics
- Complex Network Analysis Techniques (21 papers)COVID-19 epidemiological studies (16 papers)Opinion Dynamics and Social Influence (12 papers)
- Partner nations
- United StatesAustriaUnited Kingdom
In The Last Decade
Keith Bisset
51 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 122
- Modeling and Simulation 365
- Statistical and Nonlinear Physics 261
- Epidemiology 224
- Computer Networks and Communications 214
- Management Science and Operations Research 120
Countries citing papers authored by Keith Bisset
This map shows the geographic impact of Keith Bisset'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 Keith Bisset with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith Bisset more than expected).
Fields of papers citing papers by Keith Bisset
This network shows the impact of papers produced by Keith Bisset. 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 Keith Bisset. The network helps show where Keith Bisset may publish in the future.
Co-authorship network of co-authors of Keith Bisset
This figure shows the co-authorship network connecting the top 25 collaborators of Keith Bisset. A scholar is included among the top collaborators of Keith Bisset 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 Keith Bisset. Keith Bisset is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 39 | |
| 3 | 30 | |
| 4 | 14 | |
| 5 | 46 | |
| 6 | 0 | |
| 7 | 77 | |
| 8 | 10 | |
| 9 | 1 | |
| 10 | 25 | |
| 11 | 12 | |
| 12 | 6 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 49 | |
| 16 | 24 | |
| 17 | 26 | |
| 18 | Estimating the Impact of Public and Private Strategies for Controlling an Epidemic: A Multi-Agent Approach | 13 |
| 19 | 146 | |
| 20 | Simulation of traffic flow and control using fuzzy and conventional methods | 29 |
About Keith Bisset
Keith Bisset is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Management Science and Operations Research, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (21 papers), COVID-19 epidemiological studies (16 papers) and Opinion Dynamics and Social Influence (12 papers). The work is most often cited by research in Modeling and Simulation (365 citations), Statistical and Nonlinear Physics (261 citations) and Transportation (111 citations). Keith Bisset has collaborated with scholars based in United States, Austria and United Kingdom. Frequent co-authors include Madhav Marathe, Xizhou Feng, Stephen Eubank, Christopher L. Barrett, Jiangzhuo Chen, V. S. Anil Kumar, Achla Marathe, Chris Barrett, Raquel Hontecillas and Stefan Hoops. Their work appears in journals such as The Journal of Immunology, PLoS ONE and PLoS Computational Biology.
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.