G. Don Taylor

1.2k total citations
68 papers, 894 citations indexed

About

G. Don Taylor is a scholar working on Industrial and Manufacturing Engineering, Building and Construction and Management Information Systems. According to data from OpenAlex, G. Don Taylor has authored 68 papers receiving a total of 894 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Industrial and Manufacturing Engineering, 25 papers in Building and Construction and 11 papers in Management Information Systems. Recurrent topics in G. Don Taylor's work include Urban and Freight Transport Logistics (23 papers), Advanced Manufacturing and Logistics Optimization (20 papers) and Vehicle Routing Optimization Methods (15 papers). G. Don Taylor is often cited by papers focused on Urban and Freight Transport Logistics (23 papers), Advanced Manufacturing and Logistics Optimization (20 papers) and Vehicle Routing Optimization Methods (15 papers). G. Don Taylor collaborates with scholars based in United States, United Kingdom and Netherlands. G. Don Taylor's 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 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

G. Don Taylor

67 papers receiving 803 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Don Taylor United States 19 565 232 162 129 102 68 894
William G. Ferrell United States 13 478 0.8× 94 0.4× 214 1.3× 199 1.5× 163 1.6× 41 986
Yale T. Herer Israel 19 558 1.0× 153 0.7× 620 3.8× 254 2.0× 187 1.8× 61 1.1k
Massimiliano M. Schiraldi Italy 17 390 0.7× 184 0.8× 331 2.0× 327 2.5× 179 1.8× 87 1000
Ashkan Negahban United States 14 406 0.7× 125 0.5× 131 0.8× 76 0.6× 234 2.3× 40 936
Nikbakhsh Javadian Iran 20 981 1.7× 200 0.9× 85 0.5× 164 1.3× 91 0.9× 76 1.3k
Royce O. Bowden United States 12 342 0.6× 92 0.4× 118 0.7× 75 0.6× 144 1.4× 20 691
Gülgün Alpan France 16 725 1.3× 130 0.6× 350 2.2× 312 2.4× 102 1.0× 38 1.1k
Vittaldas V. Prabhu United States 19 640 1.1× 76 0.3× 172 1.1× 124 1.0× 71 0.7× 90 1.1k
Arijit De India 18 435 0.8× 103 0.4× 134 0.8× 288 2.2× 74 0.7× 37 1.0k
Narayan Rangaraj India 12 242 0.4× 67 0.3× 159 1.0× 136 1.1× 181 1.8× 38 681

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
1.
McCrickard, D. Scott, et al.. (2019). Reorganize Your Blogs: Supporting Blog Re-visitation with Natural Language Processing and Visualization. Multimodal Technologies and Interaction. 3(4). 66–66. 2 indexed citations
2.
Triantis, Konstantinos, et al.. (2018). Revenue management in the parking industry: a multiple garage intelligent reservation model. Transportation Planning and Technology. 41(3). 286–300. 6 indexed citations
3.
Roodbergen, Kees Jan, Iris F.A. Vis, & G. Don Taylor. (2014). Simultaneous determination of warehouse layout and control policies. International Journal of Production Research. 53(11). 3306–3326. 70 indexed citations
4.
Taylor, G. Don, et al.. (2008). Design and analysis of delivery ‘pipelines’ in truckload trucking. Transportation Research Part E Logistics and Transportation Review. 45(1). 255–269. 7 indexed citations
5.
Kutanoğlu, Erhan, et al.. (2005). Quantifying the value of advance load information in truckload trucking. Transportation Research Part E Logistics and Transportation Review. 42(4). 340–357. 43 indexed citations
6.
Heragu, Sunderesh S., et al.. (2004). A Lagrangian relaxation approach to solving the integrated pick-up/drop-off point and AGV flowpath design problem. Applied Mathematical Modelling. 28(8). 735–750. 27 indexed citations
7.
DePuy, Gail W., et al.. (2003). Barge fleet layout optimization. International Journal of Computer Integrated Manufacturing. 17(2). 97–107. 5 indexed citations
8.
Taylor, G. Don, et al.. (2002). Forecasting freight demand using economic indices. International Journal of Physical Distribution & Logistics Management. 32(4). 299–308. 35 indexed citations
9.
10.
Taylor, G. Don & Sunderesh S. Heragu. (1999). A comparison of mean reduction versus variance reduction in processing times in flow shops. International Journal of Production Research. 37(9). 1919–1934. 10 indexed citations
11.
Taylor, G. Don, et al.. (1998). INTERMODAL PROFITABILITY ANALYSIS IN THE TRUCKLOAD AND LESS THAN TRUCKLOAD INDUSTRIES. 1 indexed citations
12.
Taylor, G. Don, et al.. (1997). DEVELOPMENT AND ANALYSIS OF EFFICIENT DELIVERY LANES AND ZONES IN TRUCKLOAD TRUCKING. 4 indexed citations
13.
Taylor, G. Don. (1997). . IIE Transactions. 29(7). 585–597. 25 indexed citations
14.
Taylor, G. Don, et al.. (1995). Hub and spoke networks in truckload trucking: configuration, testing and operational concerns. Logistics and transportation review. 31(3). 28 indexed citations
15.
Taylor, G. Don, et al.. (1994). AN INTEGRATED MODELING FRAMEWORK FOR EVALUATING HUB-AND-SPOKE NETWORKS IN TRUCKLOAD TRUCKING. Logistics and transportation review. 30(2). 13 indexed citations
16.
Taylor, G. Don, et al.. (1994). AN INTEGRATED MODELING FRAMEWORK FOR EVALUATING HUB AND SPOKE NETWORKS IN TRUCKLOAD TRUCKING OPERATIONS.. Logistics and transportation review. 1 indexed citations
17.
Taylor, G. Don, et al.. (1994). An evaluation of product commonality and group technology production methods in a pre-defined multiple-machine scenario. Production Planning & Control. 5(6). 552–561. 2 indexed citations
18.
Landers, Thomas L., et al.. (1993). A heuristic algorithm for minimizing total production time for a sequence of jobs on a surface mount placement machine. International Journal of Production Research. 31(6). 1327–1341. 28 indexed citations
19.
Taylor, G. Don & Robert J. Graves. (1991). Integrated decision making in a flexible assembly system: a new approach for operational control. Production Planning & Control. 2(3). 242–256. 3 indexed citations
20.
Taylor, G. Don. (1990). A flexible simulation framework for evaluating multi-level, heuristic-based production control strategies. Winter Simulation Conference. 567–569. 3 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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