Nigel Bean
Impact in
-
- Advanced Queuing Theory Analysis
- Statistics and Probability top 2%
- Markov Chains and Monte Carlo Methods
Papers in
-
- Advanced Queuing Theory Analysis 31
-
- Network Traffic and Congestion Control 8
- Wireless Communication Networks Research 6
- Co-authors
- Peter Taylor (17 shared papers)Małgorzata M. O’Reilly (16 shared papers)Stephen P. Fitzgerald (10 shared papers)Jonathan Tuke (4 shared papers)Joshua V. Ross (15 shared papers)Richard Gibbens (3 shared papers)Dirk P. Kroese (3 shared papers)Stan Zachary (3 shared papers)
- Journals
- Stochastic Models (6 papers)Journal of Applied Probability (5 papers)Annals of Operations Research (4 papers)Advances in Applied Probability (4 papers)Mathematical Biosciences (3 papers)
- Partner nations
- AustraliaUnited KingdomGermany
In The Last Decade
Nigel Bean
90 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 144
- Management Information Systems 362
- Statistics and Probability 144
- Management Science and Operations Research 220
- Modeling and Simulation 56
- Computational Mathematics 7
Countries citing papers authored by Nigel Bean
This map shows the geographic impact of Nigel Bean'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 Nigel Bean with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nigel Bean more than expected).
Fields of papers citing papers by Nigel Bean
This network shows the impact of papers produced by Nigel Bean. 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 Nigel Bean. The network helps show where Nigel Bean may publish in the future.
Co-authors
The 25 scholars most cited alongside Nigel Bean, 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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 134 | |
| 2 | 2005 | 58 | |
| 3 | 2020 | 56 | |
| 4 | 2005 | 53 | |
| 5 | 2005 | 52 | |
| 6 | 1995 | 43 | |
| 7 | 1997 | 42 | |
| 8 | 2008 | 42 | |
| 9 | 2010 | 40 | |
| 10 | 2008 | 32 | |
| 11 | 2007 | 32 | |
| 12 | 2016 | 26 | |
| 13 | 1997 | 26 | |
| 14 | 2007 | 25 | |
| 15 | 2010 | 24 | |
| 16 | 2015 | 24 | |
| 17 | 2010 | 22 | |
| 18 | 2013 | 22 | |
| 19 | 2008 | 21 | |
| 20 | 2016 | 20 |
About Nigel Bean
Nigel Bean is a scholar working on Management Information Systems, Computer Networks and Communications, Management Science and Operations Research, Statistics and Probability and Electrical and Electronic Engineering, having authored 91 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (31 papers), Markov Chains and Monte Carlo Methods (9 papers), Probability and Risk Models (9 papers), Stochastic processes and statistical mechanics (8 papers), Network Traffic and Congestion Control (8 papers), Stochastic processes and financial applications (6 papers), COVID-19 epidemiological studies (6 papers) and Wireless Communication Networks Research (6 papers). The work is most often cited by research in Management Information Systems (362 citations), Statistics and Probability (144 citations), Management Science and Operations Research (220 citations), Modeling and Simulation (56 citations) and Computational Mathematics (7 citations). Nigel Bean has collaborated with scholars based in Australia, United Kingdom and Germany. Frequent co-authors include Peter Taylor, Małgorzata M. O’Reilly, Stephen P. Fitzgerald, Jonathan Tuke, Joshua V. Ross, Richard Gibbens, Dirk P. Kroese, Stan Zachary, M. Kraetzl and Lars S. Jermiin. Their work appears in journals such as Stochastic Models, Journal of Applied Probability, Annals of Operations Research, Advances in Applied Probability and Mathematical Biosciences.
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.