G. Don Taylor

67 papers receiving 803 citations

Peers

G. Don Taylor
Comparison fields: 5 of 81
  • Industrial and Manufacturing Engineering 565
  • Building and Construction 232
  • Management Information Systems 162
  • Strategy and Management 129
  • Management Science and Operations Research 102
Replace Yale T. Herer with:
Yale T. Herer Israel
Ashkan Negahban United States
William G. Ferrell United States
A.L. Kok Netherlands
Royce O. Bowden United States
Fatma Gzara Canada
Robert C. Leachman United States
Gülgün Alpan France
Markus Rabe Germany
Nikbakhsh Javadian Iran
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Countries citing papers authored by G. Don Taylor

Since Specialization
Citations

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

Fields of papers citing papers by G. Don Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Don Taylor. 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 G. Don Taylor. The network helps show where G. Don Taylor may publish in the future.

Co-authorship network of co-authors of G. Don Taylor

This figure shows the co-authorship network connecting the top 25 collaborators of G. Don Taylor. A scholar is included among the top collaborators of G. Don Taylor 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 G. Don Taylor. G. Don Taylor 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 2
2 6
3 70
4 7
5 43
6 27
7 5
8 35
9 0
10 10
11
INTERMODAL PROFITABILITY ANALYSIS IN THE TRUCKLOAD AND LESS THAN TRUCKLOAD INDUSTRIES
1
12
DEVELOPMENT AND ANALYSIS OF EFFICIENT DELIVERY LANES AND ZONES IN TRUCKLOAD TRUCKING
4
13
25
14
Hub and spoke networks in truckload trucking: configuration, testing and operational concerns
28
15
AN INTEGRATED MODELING FRAMEWORK FOR EVALUATING HUB-AND-SPOKE NETWORKS IN TRUCKLOAD TRUCKING
13
16
AN INTEGRATED MODELING FRAMEWORK FOR EVALUATING HUB AND SPOKE NETWORKS IN TRUCKLOAD TRUCKING OPERATIONS.
1
17 2
18 28
19 3
20 3

About G. Don Taylor

G. Don Taylor is a scholar working on Industrial and Manufacturing Engineering, Building and Construction and Management Information Systems, having authored 68 papers that have together received 894 indexed citations. Recurring topics across this work include Urban and Freight Transport Logistics (23 papers), Advanced Manufacturing and Logistics Optimization (20 papers) and Vehicle Routing Optimization Methods (15 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (565 citations), Management Information Systems (162 citations) and Building and Construction (232 citations). G. Don Taylor has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include John R. English, John S. Usher, Thomas L. Landers, Gail W. DePuy, Kees Jan Roodbergen, Iris F.A. Vis, Robert J. Graves, Erhan Kutanoğlu, Sunderesh S. Heragu and Hamdy A. Taha. Their work appears in journals such as European Journal of Operational Research, International Journal of Production Economics and International Journal of Production 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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