Keith Bisset
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
-
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
-
- Complex Network Analysis Techniques 22
- Opinion Dynamics and Social Influence 13
-
- Advanced Data Storage Technologies 6
- Distributed and Parallel Computing Systems 6
- Co-authors
- Madhav Marathe (51 shared papers)Xizhou Feng (8 shared papers)Stephen Eubank (20 shared papers)Christopher L. Barrett (8 shared papers)Jiangzhuo Chen (13 shared papers)Chris Barrett (9 shared papers)V. S. Anil Kumar (5 shared papers)Raquel Hontecillas (9 shared papers)
- Journals
- PLoS ONE (2 papers)IEEE Transactions on NanoBioscience (1 paper)ACM Transactions on Management Information Systems (1 paper)Epidemics (1 paper)AI Magazine (1 paper)
- Partner nations
- United StatesGermanyAustria
In The Last Decade
Keith Bisset
57 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 120
- Modeling and Simulation 403
- Statistical and Nonlinear Physics 320
- Transportation 147
- Hardware and Architecture 98
- Computer Networks and Communications 268
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-authors
The 25 scholars most cited alongside Keith Bisset, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 168 | |
| 2 | 2009 | 135 | |
| 3 | 2008 | 132 | |
| 4 | 2013 | 89 | |
| 5 | 2010 | 53 | |
| 6 | 2013 | 51 | |
| 7 | 2015 | 45 | |
| 8 | 2002 | 39 | |
| 9 | 2008 | 35 | |
| 10 | 2014 | 34 | |
| 11 | 2012 | 32 | |
| 12 | 2012 | 32 | |
| 13 | 2010 | 31 | |
| 14 | 2009 | 30 | |
| 15 | Simulation of traffic flow and control using fuzzy and conventional methods | 1993 | 29 |
| 16 | 2014 | 28 | |
| 17 | 2010 | 24 | |
| 18 | 2009 | 23 | |
| 19 | 2009 | 21 | |
| 20 | 1993 | 21 |
About Keith Bisset
Keith Bisset is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Modeling and Simulation, Management Science and Operations Research and Epidemiology, having authored 61 papers that have together received 1.4k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (22 papers), COVID-19 epidemiological studies (16 papers), Opinion Dynamics and Social Influence (13 papers), Immune Cell Function and Interaction (8 papers), Data-Driven Disease Surveillance (8 papers), demographic modeling and climate adaptation (6 papers), Advanced Data Storage Technologies (6 papers) and Distributed and Parallel Computing Systems (6 papers). The work is most often cited by research in Modeling and Simulation (403 citations), Statistical and Nonlinear Physics (320 citations), Transportation (147 citations), Hardware and Architecture (98 citations) and Computer Networks and Communications (268 citations). Keith Bisset has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Madhav Marathe, Xizhou Feng, Stephen Eubank, Christopher L. Barrett, Jiangzhuo Chen, Chris Barrett, V. S. Anil Kumar, Raquel Hontecillas, Achla Marathe and Stefan Hoops. Their work appears in journals such as PLoS ONE, IEEE Transactions on NanoBioscience, ACM Transactions on Management Information Systems, Epidemics and AI Magazine.
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.