Jeffrey D. Tew

53 papers receiving 741 citations

Peers

Jeffrey D. Tew
Comparison fields: 5 of 84
  • Management Science and Operations Research 294
  • Management Information Systems 228
  • Industrial and Manufacturing Engineering 181
  • Strategy and Management 158
  • Computational Theory and Mathematics 99
Replace Michael N. Katehakis with:
Michael N. Katehakis United States
Taner Bi̇lgi̇ç Türkiye
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Jeffrey D. Tew relative to Michael N. Katehakis United States Michael N. Katehakis's profile →
Citations per field
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Michael N. Katehakis · 1×
Citations per year

Countries citing papers authored by Jeffrey D. Tew

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey D. Tew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey D. Tew. 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 Jeffrey D. Tew. The network helps show where Jeffrey D. Tew may publish in the future.

Co-authorship network of co-authors of Jeffrey D. Tew

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey D. Tew. A scholar is included among the top collaborators of Jeffrey D. Tew 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 Jeffrey D. Tew. Jeffrey D. Tew 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 43
2 8
3 16
4 3
5 2
6 3
7 4
8 5
9 2
10 1
11 13
12 5
13 19
14
Wireless-based dynamic optimization for load makeup using auction mechanism
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15 4
16 1
17
Proceedings of the 26th conference on Winter simulation
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1994 Winter Simulation Conference proceedings : Walt Disney World Swan Hotel, Lake Buena Vista, Florida, December 11-14, 1994
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19 2
20 5

About Jeffrey D. Tew

Jeffrey D. Tew is a scholar working on Management Information Systems, Management Science and Operations Research and Industrial and Manufacturing Engineering, having authored 55 papers that have together received 794 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (14 papers), Simulation Techniques and Applications (14 papers) and Optimal Experimental Design Methods (11 papers). The work is most often cited by research in Management Information Systems (228 citations), Management Science and Operations Research (294 citations) and Industrial and Manufacturing Engineering (181 citations). Jeffrey D. Tew has collaborated with scholars based in United States, India and Poland. Frequent co-authors include James R. Wilson, Amey Kulkarni, Reha Uzsoy, Paul V. Preckel, Rajeev Shorey, Y. Narahari, Soundar Kumara, Hanif D. Sherali, James R. Wilson and Devarajan Ramanujan. Their work appears in journals such as Management Science, European Journal of Operational Research and Operations Research.

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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