S. T. Enns

817 total citations
45 papers, 632 citations indexed

About

S. T. Enns is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Management Science and Operations Research. According to data from OpenAlex, S. T. Enns has authored 45 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Industrial and Manufacturing Engineering, 28 papers in Management Information Systems and 16 papers in Management Science and Operations Research. Recurrent topics in S. T. Enns's work include Scheduling and Optimization Algorithms (31 papers), Supply Chain and Inventory Management (22 papers) and Advanced Queuing Theory Analysis (17 papers). S. T. Enns is often cited by papers focused on Scheduling and Optimization Algorithms (31 papers), Supply Chain and Inventory Management (22 papers) and Advanced Queuing Theory Analysis (17 papers). S. T. Enns collaborates with scholars based in Canada, United States and South Korea. S. T. Enns's co-authors include Paul Rogers, Sangjin Choi, Chandandeep S. Grewal, Joule Bergerson, Janne Kettunen, Li Li and David Sturrock and has published in prestigious journals such as European Journal of Operational Research, International Journal of Production Economics and International Journal of Production Research.

In The Last Decade

S. T. Enns

44 papers receiving 582 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. T. Enns Canada	14	427	321	165	129	42	45	632
Mohsen Elhafsi United States	15	376 0.9×	420 1.3×	60 0.4×	145 1.1×	33 0.8×	44	630
Nirupam Julka Singapore	8	174 0.4×	186 0.6×	151 0.9×	101 0.8×	105 2.5×	16	448
Fong‐Yuen Ding United States	12	327 0.8×	234 0.7×	324 2.0×	183 1.4×	62 1.5×	21	709
Leon McGinnis United States	12	249 0.6×	194 0.6×	127 0.8×	73 0.6×	34 0.8×	44	471
Hans Ehm Germany	13	268 0.6×	203 0.6×	74 0.4×	145 1.1×	22 0.5×	68	490
Alf Kimms Germany	15	844 2.0×	526 1.6×	250 1.5×	87 0.7×	105 2.5×	31	1.0k
Süleyman Karabük United States	11	282 0.7×	264 0.8×	130 0.8×	127 1.0×	62 1.5×	20	569
James L. Zydiak United States	11	109 0.3×	360 1.1×	237 1.4×	215 1.7×	108 2.6×	23	568
Wikrom Jaruphongsa Singapore	12	293 0.7×	309 1.0×	99 0.6×	142 1.1×	52 1.2×	20	485
A.G. Lagodimos Greece	15	275 0.6×	430 1.3×	121 0.7×	224 1.7×	36 0.9×	42	637

Countries citing papers authored by S. T. Enns

Since Specialization

Citations

This map shows the geographic impact of S. T. Enns'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 S. T. Enns with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. T. Enns more than expected).

Fields of papers citing papers by S. T. Enns

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. T. Enns. 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 S. T. Enns. The network helps show where S. T. Enns may publish in the future.

Co-authorship network of co-authors of S. T. Enns

This figure shows the co-authorship network connecting the top 25 collaborators of S. T. Enns. A scholar is included among the top collaborators of S. T. Enns 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 S. T. Enns. S. T. Enns 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

Grewal, Chandandeep S., S. T. Enns, & Paul Rogers. (2010). Dynamic adjustment of replenishment parameters using optimum-seeking simulation. Winter Simulation Conference. 1797–1808. 4 indexed citations

Grewal, Chandandeep S., S. T. Enns, & Paul Rogers. (2010). Dynamic adjustment of replenishment parameters using optimum-seeking simulation. Proceedings of the 2010 Winter Simulation Conference. 1797–1808. 2 indexed citations

Grewal, Chandandeep S., et al.. (2009). Performance effects of setup time reduction with and without decision variable re-optimization: a simulation-optimization study. Winter Simulation Conference. 2135–2144. 3 indexed citations

Enns, S. T. & Chandandeep S. Grewal. (2009). Lot size optimisation under pooled and unpooled scenarios in batch production system. International Journal of Production Research. 48(20). 6085–6101. 1 indexed citations

Enns, S. T. & Paul Rogers. (2008). Clarifying CONWIP versus push system behavior using simulation. Winter Simulation Conference. 1867–1872. 8 indexed citations

Enns, S. T.. (2007). "Pull" replenishment performance as a function of demand rates and setup times under optimal settings. Winter Simulation Conference. 1624–1632. 6 indexed citations

Enns, S. T.. (2006). The effects of backorder information and reduced-setup dispatching under reorder point or Kanban replenishment. Winter Simulation Conference. 1914–1919. 1 indexed citations

Enns, S. T.. (2006). The Effects of Backorder Information and Reduced-Setup Dispatching Under Reorder Point Or Kanban Replenishment. 1914–1919. 2 indexed citations

Enns, S. T., et al.. (2006). Evaluating the effects of capacity constraints and demand patterns on supply chain replenishment strategies. International Journal of Production Research. 44(21). 4607–4629. 27 indexed citations

10.

Enns, S. T., et al.. (2005). Lot-sizing within capacity-constrained manufacturing systems using time-phased planning. Winter Simulation Conference. 1433–1440. 4 indexed citations

11.

Enns, S. T., et al.. (2005). Optimal lot-sizing in a two-stage system with auto-correlated arrivals. Winter Simulation Conference. 1705–1711. 1 indexed citations

12.

Enns, S. T., et al.. (2005). Optimal Lot-Sizing with Capacity-Constraints and Auto-Correlated Interarrival Times. Proceedings of the 2004 Winter Simulation Conference, 2004.. 2. 18–23. 4 indexed citations

13.

Enns, S. T., et al.. (2004). Evaluating the performance of supply chain simulations with tradeoffs between mulitple objectives. Winter Simulation Conference. 2. 1399–1403. 7 indexed citations

14.

Enns, S. T. & Li Li. (2004). Optimal lot-sizing with capacity constraints and auto-correlated interarrival times. Winter Simulation Conference. 2. 1073–1078. 9 indexed citations

15.

Enns, S. T., et al.. (2004). A simulation test bed for production and supply chain modeling. 1174–1182. 18 indexed citations

16.

Enns, S. T., et al.. (2003). Simulation test bed for manufacturing analysis: a simulation test bed for producton and supply chain modeling. Winter Simulation Conference. 1174–1182. 7 indexed citations

17.

Enns, S. T. & Sangjin Choi. (2002). Manufacturing modeling methods: USE of GI/G/1 queuing approximations to set tactical parameters for the simulation of MRP systems. Winter Simulation Conference. 1123–1129. 4 indexed citations

18.

Enns, S. T.. (2002). MRP performance effects due to forecast bias and demand uncertainty. European Journal of Operational Research. 138(1). 87–102. 55 indexed citations

19.

Enns, S. T.. (1995). A dynamic forecasting model for job shop flowtime prediction and tardiness control. International Journal of Production Research. 33(5). 1295–1312. 53 indexed citations

20.

Enns, S. T.. (1995). An integrated system for controlling shop loading and work flow. International Journal of Production Research. 33(10). 2801–2820. 36 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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