Douglas J. Thomas

2.7k total citations · 1 hit paper
41 papers, 1.9k citations indexed

About

Douglas J. Thomas is a scholar working on Management Information Systems, Management Science and Operations Research and Marketing. According to data from OpenAlex, Douglas J. Thomas has authored 41 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Management Information Systems, 13 papers in Management Science and Operations Research and 10 papers in Marketing. Recurrent topics in Douglas J. Thomas's work include Supply Chain and Inventory Management (27 papers), Consumer Market Behavior and Pricing (10 papers) and Scheduling and Optimization Algorithms (8 papers). Douglas J. Thomas is often cited by papers focused on Supply Chain and Inventory Management (27 papers), Consumer Market Behavior and Pricing (10 papers) and Scheduling and Optimization Algorithms (8 papers). Douglas J. Thomas collaborates with scholars based in United States, Germany and Australia. Douglas J. Thomas's co-authors include Paul M. Griffin, John E. Tyworth, Edward A. Silver, David F. Pyke, Terry P. Harrison, Anthony M. Kwasnica, Mirko Kremer, Andrew M. Davis, Enno Siemsen and Elena Katok and has published in prestigious journals such as Management Science, European Journal of Operational Research and Omega.

In The Last Decade

Douglas J. Thomas

41 papers receiving 1.7k 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.

Coordinated supply chain management

1996 850 citations Douglas J. Thomas, Paul M. Griffin European Journal of Operational Research profile →

Peers

Douglas J. Thomas

MIS

SM

MSOR

IME

MARKE

David F. Pyke United States

Ram Ganeshan United States

Terry P. Harrison United States

Ulrich W. Thonemann Germany

S. Viswanathan Singapore

Sean P. Willems United States

Cathal Heavey Ireland

Kamran Moinzadeh United States

Houmin Yan Hong Kong

Rachel Q. Zhang United States

David F. Pyke United States

Douglas J. Thomas

1.5k ×1.2

MIS

844 ×1.1

SM

482 ×0.9

MSOR

629 ×1.4

IME

254 ×1.1

MARKE

Citations per year, relative to Douglas J. Thomas Douglas J. Thomas (= 1×) peers David F. Pyke

Countries citing papers authored by Douglas J. Thomas

Since Specialization

Citations

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

Fields of papers citing papers by Douglas J. Thomas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Douglas J. Thomas

This figure shows the co-authorship network connecting the top 25 collaborators of Douglas J. Thomas. A scholar is included among the top collaborators of Douglas J. Thomas 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 Douglas J. Thomas. Douglas J. Thomas 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

1.

Davis, Andrew M., et al.. (2021). Retailer Inventory Sharing in Two-Tier Supply Chains: An Experimental Investigation. SSRN Electronic Journal. 3 indexed citations

2.

Kremer, Mirko, et al.. (2020). Strategic Sourcing Under Severe Disruption Risk: Learning Failures and Under-Diversification Bias. Manufacturing & Service Operations Management. 23(4). 761–780. 32 indexed citations

3.

Abbasi, Babak, et al.. (2020). Allocation Policies to Fulfil Heterogeneous Service Requirements under Resource Pooling. Decision Sciences. 53(2). 277–319. 5 indexed citations

4.

Silver, Edward A., David F. Pyke, & Douglas J. Thomas. (2016). Inventory and Production Management in Supply Chains. 137 indexed citations

5.

Thomas, Douglas J., et al.. (2016). Estimating Substitution and Basket Effects in Retail Stores: Implications for Assortment Planning. SSRN Electronic Journal. 2 indexed citations

6.

Holcomb, Mary, et al.. (2015). Supply chain talent squeeze : how business & universities are collaborating to fill the gap. Supply chain management review. 1 indexed citations

7.

Kremer, Mirko, Enno Siemsen, & Douglas J. Thomas. (2015). The Sum and Its Parts: Judgmental Hierarchical Forecasting. Management Science. 62(9). 2745–2764. 61 indexed citations

8.

Gao, Long, et al.. (2014). Optimal Inventory Control with Retail Pre‐Packs. Production and Operations Management. 23(10). 1761–1778. 17 indexed citations

9.

Harrison, Terry P., et al.. (2013). Supply Chain Disruptions Are Inevitable—Get READI:. Transportation Journal. 52(2). 264–276. 12 indexed citations

10.

Wang, Tong, Douglas J. Thomas, & Nils Rudi. (2013). The Effect of Competition on the Efficient–Responsive Choice. Production and Operations Management. 23(5). 829–846. 45 indexed citations

11.

Linderoth, Jeff, et al.. (2010). The impact of sampling methods on bias and variance in stochastic linear programs. Computational Optimization and Applications. 51(1). 51–75. 23 indexed citations

12.

Kumar, Sameer, et al.. (2008). Improved service system design using Six Sigma DMAIC for a major US consumer electronics and appliance retailer. International Journal of Retail & Distribution Management. 36(12). 970–994. 25 indexed citations

13.

Lin, Dennis K. J., Russell R. Barton, Henry H. Bi, et al.. (2006). Challenges in RFID enabled supply chain management. 39(11). 23–28. 16 indexed citations

14.

Thomas, Douglas J. & John E. Tyworth. (2005). Pooling lead-time risk by order splitting: A critical review. Transportation Research Part E Logistics and Transportation Review. 42(4). 245–257. 70 indexed citations

15.

Thomas, Douglas J., et al.. (2005). The value of setup cost reduction and process improvement for the economic production quantity model with defects. European Journal of Operational Research. 173(1). 241–251. 41 indexed citations

16.

Harrison, Terry P., et al.. (2005). Better, Faster, Cheaper: An Experimental Analysis of a Multiattribute Reverse Auction Mechanism with Restricted Information Feedback. Management Science. 51(12). 1753–1762. 109 indexed citations

17.

Novack, Robert A. & Douglas J. Thomas. (2004). THE CHALLENGES OF IMPLEMENTING THE PERFECT ORDER CONCEPT. 43(1). 5–16. 23 indexed citations

18.

Thomas, Douglas J. & Steven T. Hackman. (2003). A committed delivery strategy with fixed frequency and quantity. European Journal of Operational Research. 148(2). 363–373. 9 indexed citations

19.

Burke, David, E.A. Burke, Victor L. Poirier, et al.. (2001). The HeartMate II: Design and Development of a Fully Sealed Axial Flow Left Ventricular Assist System. Artificial Organs. 25(5). 380–385. 43 indexed citations

20.

Thomas, Douglas J. & Paul M. Griffin. (1996). Coordinated supply chain management. European Journal of Operational Research. 94(1). 1–15. 850 indexed citations breakdown →

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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