Murray J. Côté

1.4k total citations
32 papers, 955 citations indexed

About

Murray J. Côté is a scholar working on Economics and Econometrics, Emergency Medical Services and Management Information Systems. According to data from OpenAlex, Murray J. Côté has authored 32 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Economics and Econometrics, 12 papers in Emergency Medical Services and 9 papers in Management Information Systems. Recurrent topics in Murray J. Côté's work include Healthcare Policy and Management (10 papers), Healthcare Operations and Scheduling Optimization (10 papers) and Advanced Queuing Theory Analysis (5 papers). Murray J. Côté is often cited by papers focused on Healthcare Policy and Management (10 papers), Healthcare Operations and Scheduling Optimization (10 papers) and Advanced Queuing Theory Analysis (5 papers). Murray J. Côté collaborates with scholars based in United States, Nepal and Canada. Murray J. Côté's co-authors include Kurt M. Bretthauer, Siddhartha S. Syam, Gino J. Lim, Seonjin Kim, Jaeyoung Cho, P. Daniel Wright, William E. Stein, Elif Akçalı, Charles E. Noon and Chin E. Lin and has published in prestigious journals such as PLoS ONE, European Journal of Operational Research and Journal of General Internal Medicine.

In The Last Decade

Murray J. Côté

32 papers receiving 900 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Murray J. Côté United States 18 317 208 177 171 170 32 955
A. K. Shahani United Kingdom 17 561 1.8× 371 1.8× 48 0.3× 136 0.8× 99 0.6× 37 1.2k
Xiuli Qu United States 19 397 1.3× 260 1.3× 158 0.9× 109 0.6× 106 0.6× 39 1.1k
Kurt M. Bretthauer United States 22 253 0.8× 174 0.8× 224 1.3× 377 2.2× 419 2.5× 50 1.5k
Murat M. Günal Türkiye 13 630 2.0× 333 1.6× 76 0.4× 128 0.7× 91 0.5× 36 923
Qianmei Feng United States 26 119 0.4× 89 0.4× 37 0.2× 167 1.0× 149 0.9× 62 2.7k
Sharan Srinivas United States 20 142 0.4× 75 0.4× 111 0.6× 81 0.5× 352 2.1× 47 1.2k
Peter T. Vanberkel Canada 15 523 1.6× 236 1.1× 62 0.4× 189 1.1× 116 0.7× 43 947
Mustafa Y. Sır United States 16 179 0.6× 136 0.7× 30 0.2× 67 0.4× 77 0.5× 66 752
Jens O. Brunner Germany 21 588 1.9× 374 1.8× 38 0.2× 132 0.8× 399 2.3× 70 1.6k
James R. Swisher United States 10 743 2.3× 414 2.0× 50 0.3× 199 1.2× 205 1.2× 11 1.3k

Countries citing papers authored by Murray J. Côté

Since Specialization
Citations

This map shows the geographic impact of Murray J. Côté'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 Murray J. Côté with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Murray J. Côté more than expected).

Fields of papers citing papers by Murray J. Côté

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Murray J. Côté. 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 Murray J. Côté. The network helps show where Murray J. Côté may publish in the future.

Co-authorship network of co-authors of Murray J. Côté

This figure shows the co-authorship network connecting the top 25 collaborators of Murray J. Côté. A scholar is included among the top collaborators of Murray J. Côté 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 Murray J. Côté. Murray J. Côté is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Côté, Murray J., et al.. (2022). Scheduling Diagnostic Testing Kit Deliveries with the Mothership and Drone Routing Problem. Journal of Intelligent & Robotic Systems. 105(2). 38–38. 14 indexed citations
2.
Smith, Marlene A. & Murray J. Côté. (2022). Predictive Analytics Improves Sales Forecasts for a Pop-up Retailer. RePEc: Research Papers in Economics. 52(4). 379–389. 5 indexed citations
3.
Zhao, Hongwei, Tiffany A. Radcliff, Murray J. Côté, et al.. (2021). COVID-19: Short term prediction model using daily incidence data. PLoS ONE. 16(4). e0250110–e0250110. 27 indexed citations
4.
McCreight, Marina, Heather Gilmartin, Chelsea Leonard, et al.. (2019). Practical Use of Process Mapping to Guide Implementation of a Care Coordination Program for Rural Veterans. Journal of General Internal Medicine. 34(S1). 67–74. 19 indexed citations
5.
Leonard, Chelsea, Emily Lawrence, Marina McCreight, et al.. (2017). Implementation and dissemination of a transition of care program for rural veterans: a controlled before and after study. Implementation Science. 12(1). 123–123. 28 indexed citations
6.
Côté, Murray J., et al.. (2017). Transitioning to Patient-Centered Medical Homes: Associations With Appointment Availability. Military Medicine. 182(3). e1741–e1746. 5 indexed citations
7.
Côté, Murray J. & Marlene A. Smith. (2017). Forecasting the demand for radiology services. Health Systems. 7(2). 79–88. 17 indexed citations
8.
Côté, Murray J., et al.. (2014). Measures of Success: The Role of Human Factors in Lean Implementation in Healthcare. Quality Management Journal. 21(3). 26–37. 39 indexed citations
9.
Côté, Murray J., Marlene A. Smith, David Eitel, & Elif Akçalı. (2013). Forecasting Emergency Department Arrivals: A Tutorial for Emergency Department Directors. Hospital Topics. 91(1). 9–19. 15 indexed citations
10.
Radcliff, Tiffany A., et al.. (2013). Evaluation of a Seven State Criminal History Screening Pilot Program for Long-Term Care Workers. Journal of Elder Abuse & Neglect. 25(5). 375–395. 2 indexed citations
11.
Lim, Gino J., et al.. (2012). Multi-objective Nurse Scheduling Models with Patient Workload and Nurse Preferences. 2(5). 149–160. 11 indexed citations
12.
Radcliff, Tiffany A., et al.. (2012). Rehabilitation Settings After Joint Replacement. Evaluation & the Health Professions. 35(2). 182–198. 1 indexed citations
13.
Syam, Siddhartha S. & Murray J. Côté. (2012). A comprehensive location-allocation method for specialized healthcare services. Operations Research for Health Care. 1(4). 73–83. 28 indexed citations
14.
Bretthauer, Kurt M., et al.. (2010). The Impact of Variability and Patient Information on Health Care System Performance. Production and Operations Management. 20(6). 848–859. 31 indexed citations
15.
Côté, Murray J., Siddhartha S. Syam, W. Bruce Vogel, & Diane C. Cowper. (2007). A mixed integer programming model to locate traumatic brain injury treatment units in the Department of Veterans Affairs: a case study. Health Care Management Science. 10(3). 253–267. 27 indexed citations
16.
Côté, Murray J., et al.. (2007). Five Constants of Information Technology Adoption in Healthcare. Hospital Topics. 85(1). 17–25. 61 indexed citations
17.
Côté, Murray J. & William E. Stein. (2006). A stochastic model for a visit to the doctor’s office. Mathematical and Computer Modelling. 45(3-4). 309–323. 25 indexed citations
18.
Akçalı, Elif, Murray J. Côté, & Chin E. Lin. (2006). A network flow approach to optimizing hospital bed capacity decisions. Health Care Management Science. 9(4). 391–404. 49 indexed citations
19.
Radcliff, Tiffany A., Murray J. Côté, & R. Paul Duncan. (2005). The Identification of High-Cost Patients. Hospital Topics. 83(3). 17–24. 8 indexed citations
20.
Stein, William E. & Murray J. Côté. (1994). Scheduling arrivals to a queue. Computers & Operations Research. 21(6). 607–614. 17 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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