Mark Lawley

7.0k total citations · 3 hit papers
114 papers, 4.7k citations indexed

About

Mark Lawley is a scholar working on Industrial and Manufacturing Engineering, Computational Theory and Mathematics and Emergency Medical Services. According to data from OpenAlex, Mark Lawley has authored 114 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Industrial and Manufacturing Engineering, 30 papers in Computational Theory and Mathematics and 23 papers in Emergency Medical Services. Recurrent topics in Mark Lawley's work include Petri Nets in System Modeling (30 papers), Flexible and Reconfigurable Manufacturing Systems (23 papers) and Healthcare Operations and Scheduling Optimization (20 papers). Mark Lawley is often cited by papers focused on Petri Nets in System Modeling (30 papers), Flexible and Reconfigurable Manufacturing Systems (23 papers) and Healthcare Operations and Scheduling Optimization (20 papers). Mark Lawley collaborates with scholars based in United States, Qatar and United Kingdom. Mark Lawley's co-authors include Nagi Gebraeel, Kumar Muthuraman, Spyros Reveliotis, Jennifer K. Ryan, Rong Li, Placid M. Ferreira, Runzi Liu, Haldun Aytuğ, Reha Uzsoy and S. Mohan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Automatic Control.

In The Last Decade

Mark Lawley

109 papers receiving 4.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Residual-life distributions from component degradation signals: A Bayesian approach

2005 612 citations Nagi Gebraeel, Mark Lawley et al. IIE Transactions profile →
Executing production schedules in the face of uncertainties: A review and some future directions

2003 485 citations Mark Lawley et al. profile →
Residual Life Predictions From Vibration-Based Degradation Signals: A Neural Network Approach

2004 439 citations Nagi Gebraeel, Mark Lawley et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark Lawley United States	33	1.4k	1.0k	950	828	740	114	4.7k
Xiaolan Xie France	36	2.7k 1.9×	260 0.3×	2.1k 2.2×	311 0.4×	1.2k 1.6×	274	5.7k
Sheldon H. Jacobson United States	30	838 0.6×	275 0.3×	354 0.4×	258 0.3×	826 1.1×	222	4.4k
Chun‐Hung Chen United States	30	1.2k 0.8×	374 0.4×	1.1k 1.1×	115 0.1×	239 0.3×	211	4.1k
Johann L. Hurink Netherlands	34	1.3k 0.9×	1.0k 1.0×	142 0.1×	64 0.1×	620 0.8×	246	4.3k
John Fowler United States	43	4.5k 3.2×	537 0.5×	404 0.4×	77 0.1×	398 0.5×	308	6.9k
Nancy G. Leveson United States	47	213 0.1×	989 1.0×	1.3k 1.4×	2.1k 2.6×	247 0.3×	180	10.3k
Ger Koole Netherlands	34	671 0.5×	130 0.1×	196 0.2×	233 0.3×	1.0k 1.4×	171	5.2k
Erik Demeulemeester Belgium	48	4.7k 3.3×	398 0.4×	179 0.2×	218 0.3×	2.2k 3.0×	197	8.9k
Osman Balcı United States	33	244 0.2×	441 0.4×	414 0.4×	81 0.1×	197 0.3×	156	3.7k
Sanjay Mehrotra United States	28	227 0.2×	883 0.9×	997 1.0×	67 0.1×	125 0.2×	163	3.9k

Countries citing papers authored by Mark Lawley

Since Specialization

Citations

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

Fields of papers citing papers by Mark Lawley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Lawley. 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 Lawley. The network helps show where Mark Lawley may publish in the future.

Co-authorship network of co-authors of Mark Lawley

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Erraguntla, Madhav, et al.. (2025). Real‐World Insights Into Hypoglycemia Risk While Driving in Teens and Young Adults With Type 1 Diabetes. Pediatric Diabetes. 2025(1). 5053872–5053872.

Erraguntla, Madhav, et al.. (2025). A personalized federated learning-based glucose prediction algorithm for high-risk glycemic excursion regions in type 1 diabetes. Scientific Reports. 15(1). 38376–38376.

Lawley, Mark, et al.. (2024). How a dedicated postdischarge unit can reduce hospital congestion and costs. Decision Sciences. 56(1). 93–115.

Feng, Haolin, Michelle Alvarado, Sailesh Konda, & Mark Lawley. (2023). Sequential clinical scheduling with stochastic patient re-entrance: Case of Mohs Micrographic Surgery. Computers & Industrial Engineering. 184. 109589–109589. 2 indexed citations

Alvarado, Michelle, et al.. (2022). Penalty and incentive modeling for hospital readmission reduction. Operations Research for Health Care. 36. 100376–100376. 4 indexed citations

DeSalvo, Daniel J., Siripoom McKay, Akhil Shenoy, et al.. (2020). Feature-Based Machine Learning Model for Real-Time Hypoglycemia Prediction. Journal of Diabetes Science and Technology. 15(4). 842–855. 84 indexed citations

Alvarado, Michelle, et al.. (2019). Condition-Based Maintenance for Queues With Degrading Servers. IEEE Transactions on Automation Science and Engineering. 16(4). 1750–1762. 12 indexed citations

Erraguntla, Madhav, et al.. (2018). Impacts of diurnal temperature and larval density on aquatic development of Aedes aegypti. PLoS ONE. 13(3). e0194025–e0194025. 22 indexed citations

Alvarado, Michelle, et al.. (2017). Barriers to Remote Health Interventions for Type 2 Diabetes: A Systematic Review and Proposed Classification Scheme. Journal of Medical Internet Research. 19(2). e28–e28. 67 indexed citations

10.

Gorman, Dennis M., et al.. (2017). A Systems Approach to Understanding and Improving Research Integrity. Science and Engineering Ethics. 25(1). 211–229. 8 indexed citations

11.

Li, Yan, Nan Kong, Mark Lawley, & José A. Pagán. (2014). Assessing lifestyle interventions to improve cardiovascular health using an agent-based model. Winter Simulation Conference. 1221–1232. 5 indexed citations

12.

Lawley, Mark, Ayten Türkcan, Zhiyi Tian, et al.. (2012). No-shows to primary care appointments: subsequent acute care utilization among diabetic patients. BMC Health Services Research. 12(1). 304–304. 68 indexed citations

13.

Lin, Ji, Kumar Muthuraman, & Mark Lawley. (2011). Optimal and approximate algorithms for sequential clinical scheduling with no-shows. 1(1). 20–36. 35 indexed citations

14.

Lin, Feng, Kumar Muthuraman, & Mark Lawley. (2010). An optimal control theory approach to non-pharmaceutical interventions. BMC Infectious Diseases. 10(1). 32–32. 52 indexed citations

15.

Chakraborty, Santanu, Nagi Gebraeel, Mark Lawley, & Hong Wan. (2009). Residual-life estimation for components with non-symmetric priors. IIE Transactions. 41(4). 372–387. 39 indexed citations

16.

Lawley, Mark, et al.. (2008). Planning for Pandemic Influenza: Lessons from the Experiences of Thirteen Indiana Counties. Journal of Homeland Security and Emergency Management. 5(1). 9 indexed citations

17.

Muthuraman, Kumar & Mark Lawley. (2008). A stochastic overbooking model for outpatient clinical scheduling with no-shows. IIE Transactions. 40(9). 820–837. 214 indexed citations

18.

Konrad, Renata, Mark Lawley, Imran Hasan, et al.. (2007). Applying Systems Engineering Principles in Improving Health Care Delivery. Journal of General Internal Medicine. 22(S3). 431–437. 58 indexed citations

19.

Lawley, Mark, Kumar Muthuraman, Leyla Özşen, et al.. (2007). Effects of clinical characteristics on successful open access scheduling. Health Care Management Science. 10(2). 111–124. 113 indexed citations

20.

Lawley, Mark, et al.. (2005). Evaluating hospital pharmacy staffing and work scheduling using simulation. Winter Simulation Conference. 2256–2263. 27 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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