Mark Fackrell
Impact in
- Emergency Medical Services top 2%
- Healthcare Operations and Scheduling Optimization
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- Advanced Queuing Theory Analysis
Papers in
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- Advanced Queuing Theory Analysis 8
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- Statistical Distribution Estimation and Applications 3
- Advanced Statistical Methods and Models 2
- Co-authors
- Peter G. Taylor (9 shared papers)Nigel Geoffrey Bean (1 shared paper)Alysson Machado Costa (1 shared paper)Ivo Siekmann (1 shared paper)Edmund J. Crampin (1 shared paper)Małgorzata M. O’Reilly (3 shared papers)Mojtaba Heydar (3 shared papers)Graham B Byrnes (1 shared paper)
In The Last Decade
Mark Fackrell
19 papers receiving 289 citations
Peers
Comparison fields: 5 of 68
- Emergency Medical Services 118
- Management Information Systems 94
- Emergency Medicine 48
- Statistics and Probability 43
- Management Science and Operations Research 61
Countries citing papers authored by Mark Fackrell
This map shows the geographic impact of Mark Fackrell'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 Mark Fackrell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Fackrell more than expected).
Fields of papers citing papers by Mark Fackrell
This network shows the impact of papers produced by Mark Fackrell. 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 Mark Fackrell. The network helps show where Mark Fackrell may publish in the future.
Co-authors
The 17 scholars most cited alongside Mark Fackrell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 99 | |
| 2 | 2008 | 46 | |
| 3 | 2018 | 32 | |
| 4 | 2005 | 28 | |
| 5 | 2007 | 22 | |
| 6 | 2016 | 15 | |
| 7 | 2021 | 10 | |
| 8 | 2007 | 6 | |
| 9 | 2020 | 6 | |
| 10 | 2013 | 6 | |
| 11 | 2011 | 5 | |
| 12 | 2021 | 4 | |
| 13 | 2009 | 4 | |
| 14 | Decision support model for the patient admission scheduling problem with random arrivals and departures | 2019 | 3 |
| 15 | 2024 | 2 | |
| 16 | 2005 | 1 | |
| 17 | 2017 | 1 | |
| 18 | 2010 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2024 | 0 |
About Mark Fackrell
Mark Fackrell is a scholar working on Management Information Systems, Statistics and Probability, Emergency Medical Services, Transportation and Management Science and Operations Research, having authored 20 papers that have together received 292 indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (8 papers), Healthcare Operations and Scheduling Optimization (6 papers), Statistical Distribution Estimation and Applications (3 papers), Transportation Planning and Optimization (3 papers), Bayesian Methods and Mixture Models (2 papers), Advanced Statistical Methods and Models (2 papers), Mathematical functions and polynomials (2 papers) and Vehicle Routing Optimization Methods (2 papers). The work is most often cited by research in Emergency Medical Services (118 citations), Management Information Systems (94 citations), Emergency Medicine (48 citations), Statistics and Probability (43 citations) and Management Science and Operations Research (61 citations). Mark Fackrell has collaborated with scholars based in Australia, China and Canada. Frequent co-authors include Peter G. Taylor, Nigel Geoffrey Bean, Alysson Machado Costa, Ivo Siekmann, Edmund J. Crampin, Małgorzata M. O’Reilly, Mojtaba Heydar, Graham B Byrnes, Christian Brand and Donald Campbell. Their work appears in journals such as Stochastic Models, Annals of Operations Research, IMA Journal of Management Mathematics, Health Care Management Science and International Journal of Systems Science.
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.