Keith Bisset

1.9k total citations
55 papers, 1.1k citations indexed

About

Keith Bisset is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Modeling and Simulation. According to data from OpenAlex, Keith Bisset has authored 55 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistical and Nonlinear Physics, 17 papers in Computer Networks and Communications and 17 papers in Modeling and Simulation. Recurrent topics in Keith Bisset's work include Complex Network Analysis Techniques (21 papers), COVID-19 epidemiological studies (16 papers) and Opinion Dynamics and Social Influence (12 papers). Keith Bisset is often cited by papers focused on Complex Network Analysis Techniques (21 papers), COVID-19 epidemiological studies (16 papers) and Opinion Dynamics and Social Influence (12 papers). Keith Bisset collaborates with scholars based in United States, Austria and United Kingdom. Keith Bisset's 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 and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and PLoS Computational Biology.

In The Last Decade

Keith Bisset

51 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Keith Bisset United States	19	365	261	224	214	120	55	1.1k
Christopher L. Barrett United States	15	716 2.0×	253 1.0×	203 0.9×	362 1.7×	115 1.0×	60	1.8k
Jiaqi Ma China	18	165 0.5×	203 0.8×	204 0.9×	83 0.4×	124 1.0×	77	1.7k
Xizhou Feng United States	18	213 0.6×	174 0.7×	124 0.6×	1.0k 4.9×	100 0.8×	37	1.8k
George Milne Australia	20	559 1.5×	25 0.1×	431 1.9×	85 0.4×	30 0.3×	71	1.4k
Armin R. Mikler United States	12	127 0.3×	62 0.2×	180 0.8×	109 0.5×	31 0.3×	73	666
Ye Wu China	19	211 0.6×	413 1.6×	62 0.3×	441 2.1×	20 0.2×	117	1.4k
Anil Vullikanti United States	21	857 2.3×	361 1.4×	495 2.2×	106 0.5×	98 0.8×	116	1.8k
Zhiyuan Chen United States	20	102 0.3×	46 0.2×	40 0.2×	340 1.6×	106 0.9×	86	1.6k
Markus Schwehm Germany	15	264 0.7×	27 0.1×	322 1.4×	150 0.7×	13 0.1×	36	708
Víctor M. Preciado United States	21	436 1.2×	785 3.0×	56 0.3×	452 2.1×	76 0.6×	87	1.8k

Countries citing papers authored by Keith Bisset

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Hasan, Samiul, Edward A. Fox, Keith Bisset, & Madhav Marathe. (2017). EpiK: A Knowledge Base for Epidemiological Modeling and Analytics of Infectious Diseases. PubMed. 1(2). 260–303. 3 indexed citations

Deng, Xinwei, Casandra Philipson, Josep Bassaganya‐Riera, et al.. (2015). Sensitivity Analysis of an ENteric Immunity SImulator (ENISI)-Based Model of Immune Responses to Helicobacter pylori Infection. PLoS ONE. 10(9). e0136139–e0136139. 39 indexed citations

Bisset, Keith, et al.. (2014). Indemics. ACM Transactions on Modeling and Computer Simulation. 24(1). 1–32. 30 indexed citations

Wesolowski, Lukasz, Abhishek Gupta, Keith Bisset, et al.. (2014). TRAM: Optimizing Fine-Grained Communication with Topological Routing and Aggregation of Messages. 211–220. 14 indexed citations

Carbo, Adria, Josep Bassaganya‐Riera, Mireia Pedragosa, et al.. (2013). Predictive Computational Modeling of the Mucosal Immune Responses during Helicobacter pylori Infection. PLoS ONE. 8(9). e73365–e73365. 46 indexed citations

Kamal, Tariq, et al.. (2013). Load balancing in large-scale epidemiological simulations. 123–124.

Carbo, Adria, Raquel Hontecillas, Barbara Kronsteiner, et al.. (2013). Systems Modeling of Molecular Mechanisms Controlling Cytokine-driven CD4+ T Cell Differentiation and Phenotype Plasticity. PLoS Computational Biology. 9(4). e1003027–e1003027. 77 indexed citations

Lewis, Bryan, Samarth Swarup, Keith Bisset, et al.. (2013). A Simulation Environment for the Dynamic Evaluation of Disaster Preparedness Policies and Interventions. Journal of Public Health Management and Practice. 19(Supplement 2). S42–S48. 10 indexed citations

Bisset, Keith, Stephen Eubank, & Madhav Marathe. (2012). High performance informatics for pandemic preparedness. Winter Simulation Conference. 72. 1 indexed citations

10.

Wendelsdorf, Katherine, Josep Bassaganya-Riera, Keith Bisset, et al.. (2012). ENteric Immunity SImulator: A Tool for In Silico Study of Gastroenteric Infections. IEEE Transactions on NanoBioscience. 11(3). 273–288. 25 indexed citations

11.

Bisset, Keith, Ashwin M. Aji, Madhav Marathe, & Wu-chun Feng. (2012). High-performance biocomputing for simulating the spread of contagion over large contact networks. BMC Genomics. 13(Suppl 2). S3–S3. 12 indexed citations

12.

Bisset, Keith, Ashwin M. Aji, Madhav Marathe, & Wu-chun Feng. (2011). High-performance biocomputing for simulating the spread of contagion over large contact networks. 3. 26–32. 6 indexed citations

13.

Bisset, Keith, Jiangzhuo Chen, Chris J. Kuhlman, V. S. Anil Kumar, & Madhav Marathe. (2011). Interaction-based HPC modeling of social, biological, and economic contagions over large networks. 101. 2933–2947. 3 indexed citations

14.

Ma, Yifei, et al.. (2011). Formal Specification and Experimental Analysis of an Interactive Epidemic Simulation Framework. 790–795. 3 indexed citations

15.

Barrett, Chris, et al.. (2010). Economic and social impact of influenza mitigation strategies by demographic class. Epidemics. 3(1). 19–31. 49 indexed citations

16.

Eubank, Stephen, Chris Barrett, Richard J. Beckman, et al.. (2010). Detail in network models of epidemiology: are we there yet?. Journal of Biological Dynamics. 4(5). 446–455. 24 indexed citations

17.

Bisset, Keith, et al.. (2009). Modeling interaction between individuals, social networks and public policy to support public health epidemiology. Winter Simulation Conference. 2020–2031. 26 indexed citations

18.

Barrett, Christopher L., et al.. (2009). Estimating the Impact of Public and Private Strategies for Controlling an Epidemic: A Multi-Agent Approach. Innovative Applications of Artificial Intelligence. 13 indexed citations

19.

Barrett, Christopher L., Keith Bisset, Stephen Eubank, Xizhou Feng, & Madhav Marathe. (2008). EpiSimdemics: an efficient algorithm for simulating the spread of infectious disease over large realistic social networks. IEEE International Conference on High Performance Computing, Data, and Analytics. 37. 146 indexed citations

20.

Bisset, Keith, et al.. (1993). Simulation of traffic flow and control using fuzzy and conventional methods. Prentice-Hall, Inc eBooks. 262–278. 29 indexed citations

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.

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