Scott Webster

4.1k citations
87 papers · 3.1k indexed · h-index 28
Topics
Supply Chain and Inventory Management (36 papers)Scheduling and Optimization Algorithms (29 papers)Consumer Market Behavior and Pricing (18 papers)

In The Last Decade

Scott Webster

84 papers receiving 3.0k citations

Peers

Scott Webster
Comparison fields: 5 of 98
  • Management Information Systems 1.5k
  • Strategy and Management 1.4k
  • Industrial and Manufacturing Engineering 1.0k
  • Marketing 717
  • Management Science and Operations Research 408
Replace G. Keong Leong with:
G. Keong Leong United States
Xiaohang Yue United States
Abhijeet Ghadge United Kingdom
Joseph D. Blackburn United States
Sara Saberi United States
Carlo D. Smith United States
Nicholas C. Petruzzi United States
Mahtab Kouhizadeh United States
Virgílio António Cruz Machado Portugal
Stefan Minner Germany
Scott Webster relative to G. Keong Leong United States G. Keong Leong's profile →
Citations per field
00.5×1.5×2.2×
G. Keong Leong · 1×
Citations per year

Countries citing papers authored by Scott Webster

Since Specialization
Citations

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

Fields of papers citing papers by Scott Webster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Webster

This figure shows the co-authorship network connecting the top 25 collaborators of Scott Webster. A scholar is included among the top collaborators of Scott Webster 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 Scott Webster. Scott Webster 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
#WorkIndexed citations
1 1
2 9
3 2
4 13
5 24
6 2
7 52
8 45
9 11
10 4
11 37
12 33
13 246
14
The Loss-Averse Newsvendor Problem
4
15 15
16 1
17 43
18 6
19
Analytical results for two-echelon distribution network design
1
20 24

About Scott Webster

Scott Webster is a scholar working on Management Information Systems, Industrial and Manufacturing Engineering and Marketing, having authored 87 papers that have together received 3.1k indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (36 papers), Scheduling and Optimization Algorithms (29 papers) and Consumer Market Behavior and Pricing (18 papers). The work is most often cited by research in Management Information Systems (1.5k citations), Industrial and Manufacturing Engineering (1.0k citations) and Strategy and Management (1.4k citations). Scott Webster has collaborated with scholars based in United States, Türkiye and Singapore. Frequent co-authors include Burak Kazaz, Kenneth R. Baker, Charles X. Wang, M. Azizoğlu, Z. Kevin Weng, Hongmin Li, Nallan C. Suresh, Mahyar Eftekhar, Robert A. Ruben and Prashant Yadav. Their work appears in journals such as Management Science, European Journal of Operational Research and Journal of Operations Management.

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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