Dean C. Chatfield

1.4k total citations
28 papers, 1.1k citations indexed

About

Dean C. Chatfield is a scholar working on Management Information Systems, Management Science and Operations Research and Strategy and Management. According to data from OpenAlex, Dean C. Chatfield has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Management Information Systems, 10 papers in Management Science and Operations Research and 7 papers in Strategy and Management. Recurrent topics in Dean C. Chatfield's work include Supply Chain and Inventory Management (17 papers), Advanced Queuing Theory Analysis (9 papers) and Business Process Modeling and Analysis (8 papers). Dean C. Chatfield is often cited by papers focused on Supply Chain and Inventory Management (17 papers), Advanced Queuing Theory Analysis (9 papers) and Business Process Modeling and Analysis (8 papers). Dean C. Chatfield collaborates with scholars based in United States, Latvia and United Kingdom. Dean C. Chatfield's co-authors include Jack C. Hayya, Terry P. Harrison, Christopher W. Zobel, Onur Şeref, Yuhong Li, David P. Cook, Stephen Michael Disney, Chao‐Hsien Chu and Xin He 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

Dean C. Chatfield

27 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dean C. Chatfield United States 15 855 627 253 230 48 28 1.1k
Virginia Spiegler United Kingdom 16 734 0.9× 770 1.2× 137 0.5× 226 1.0× 52 1.1× 21 1.2k
Borja Ponte Spain 21 606 0.7× 663 1.1× 222 0.9× 246 1.1× 104 2.2× 47 1.1k
Roberto Domínguez Spain 19 622 0.7× 634 1.0× 139 0.5× 153 0.7× 79 1.6× 42 863
David Nowicki United States 16 621 0.7× 578 0.9× 164 0.6× 87 0.4× 81 1.7× 38 1.0k
Jeroen Dejonckheere United Kingdom 8 946 1.1× 530 0.8× 289 1.1× 284 1.2× 49 1.0× 12 1.1k
Murari Lal Mittal India 19 513 0.6× 487 0.8× 346 1.4× 384 1.7× 65 1.4× 46 1.2k
Sanjay Sharma India 19 606 0.7× 546 0.9× 172 0.7× 273 1.2× 78 1.6× 74 1.0k
Salvatore Cannella Spain 26 1.2k 1.4× 1.2k 1.8× 321 1.3× 288 1.3× 142 3.0× 66 1.6k
M. Douglas Voss United States 14 447 0.5× 550 0.9× 161 0.6× 85 0.4× 77 1.6× 21 880
Cristina López Spain 15 452 0.5× 420 0.7× 208 0.8× 156 0.7× 44 0.9× 32 987

Countries citing papers authored by Dean C. Chatfield

Since Specialization
Citations

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

Fields of papers citing papers by Dean C. Chatfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dean C. Chatfield. 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 Dean C. Chatfield. The network helps show where Dean C. Chatfield may publish in the future.

Co-authorship network of co-authors of Dean C. Chatfield

This figure shows the co-authorship network connecting the top 25 collaborators of Dean C. Chatfield. A scholar is included among the top collaborators of Dean C. Chatfield 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 Dean C. Chatfield. Dean C. Chatfield 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.
Li, Yuhong, Christopher W. Zobel, Onur Şeref, & Dean C. Chatfield. (2019). Network characteristics and supply chain resilience under conditions of risk propagation. International Journal of Production Economics. 223. 107529–107529. 164 indexed citations
2.
Chatfield, Dean C., et al.. (2018). Crossover aware base stock decisions for service-driven systems. Transportation Research Part E Logistics and Transportation Review. 114. 312–330. 7 indexed citations
3.
Chatfield, Dean C., et al.. (2017). Information blackouts in a multi-echelon supply chain simulation. Winter Simulation Conference. 3440–3446. 2 indexed citations
4.
Chatfield, Dean C., et al.. (2017). Information blackouts in a multi-echelon supply chain simulation. 2017 Winter Simulation Conference (WSC). 77. 3440–3446. 2 indexed citations
5.
Chatfield, Dean C.. (2012). Underestimating the bullwhip effect: a simulation study of the decomposability assumption. International Journal of Production Research. 51(1). 230–244. 47 indexed citations
6.
Chatfield, Dean C., et al.. (2012). Returns and the bullwhip effect. Transportation Research Part E Logistics and Transportation Review. 49(1). 159–175. 91 indexed citations
7.
Hayya, Jack C., Terry P. Harrison, & Dean C. Chatfield. (2009). A solution for the intractable inventory model when both demand and lead time are stochastic. International Journal of Production Economics. 122(2). 595–605. 28 indexed citations
8.
Chatfield, Dean C., et al.. (2008). 11/23/2003 THE SUPPLY CHAIN MODELING LANGUAGE (SCML).
9.
Chatfield, Dean C., Terry P. Harrison, & Jack C. Hayya. (2008). SCML: An information framework to support supply chain modeling. European Journal of Operational Research. 196(2). 651–660. 16 indexed citations
10.
Chatfield, Dean C., Jack C. Hayya, & Terry P. Harrison. (2006). A multi-formalism architecture for agent-based, order-centric supply chain simulation. Simulation Modelling Practice and Theory. 15(2). 153–174. 46 indexed citations
11.
Hayya, Jack C., et al.. (2006). Estimation in supply chain inventory management. International Journal of Production Research. 44(7). 1313–1330. 27 indexed citations
12.
Chatfield, Dean C. & Jack C. Hayya. (2006). All-zero forecasts for lumpy demand: a factorial study. International Journal of Production Research. 45(4). 935–950. 22 indexed citations
13.
Chatfield, Dean C., et al.. (2005). Quantifying the bullwhip effect in a supply chain with stochastic lead time. European Journal of Operational Research. 173(2). 617–636. 126 indexed citations
14.
Chatfield, Dean C., Terry P. Harrison, & Jack C. Hayya. (2005). XML-Based Supply Chain Simulation Modeling. Proceedings of the 2004 Winter Simulation Conference, 2004.. 2. 421–429. 1 indexed citations
15.
Chatfield, Dean C., Terry P. Harrison, & Jack C. Hayya. (2004). XML-based supply chain simulation modeling. Winter Simulation Conference. 2. 1485–1493. 2 indexed citations
16.
Chatfield, Dean C., et al.. (2004). The Bullwhip Effect—Impact of Stochastic Lead Time, Information Quality, and Information Sharing: A Simulation Study. Production and Operations Management. 13(4). 340–353. 293 indexed citations
17.
Hayya, Jack C., Dean C. Chatfield, Xin He, & Chao‐Hsien Chu. (2003). Supply Chain Information Technology Metrics. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 9(1). 33–48. 1 indexed citations
18.
Chatfield, Dean C. & Terry P. Harrison. (2002). SISCO: a supply chain simulation tool utilizing Silk/sup TM/ and XML. Proceeding of the 2001 Winter Simulation Conference (Cat. No.01CH37304). 614–622. 12 indexed citations
19.
Chatfield, Dean C., Terry P. Harrison, & Jack C. Hayya. (2001). SISCO: a supply chain simulation tool utilizing Silk/sup TM/ and XML. Winter Simulation Conference. 1. 614–622. 27 indexed citations
20.
Chatfield, Dean C., Terry P. Harrison, & Jack C. Hayya. (2001). Sisco and scml: software tools for supply chain simulation modeling and information sharing. 14 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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