Barrett W. Thomas

3.7k total citations
64 papers, 2.6k citations indexed

About

Barrett W. Thomas is a scholar working on Industrial and Manufacturing Engineering, Automotive Engineering and Transportation. According to data from OpenAlex, Barrett W. Thomas has authored 64 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Industrial and Manufacturing Engineering, 29 papers in Automotive Engineering and 17 papers in Transportation. Recurrent topics in Barrett W. Thomas's work include Vehicle Routing Optimization Methods (39 papers), Transportation and Mobility Innovations (26 papers) and Transportation Planning and Optimization (17 papers). Barrett W. Thomas is often cited by papers focused on Vehicle Routing Optimization Methods (39 papers), Transportation and Mobility Innovations (26 papers) and Transportation Planning and Optimization (17 papers). Barrett W. Thomas collaborates with scholars based in United States, Germany and China. Barrett W. Thomas's co-authors include Ann Melissa Campbell, Marlin W. Ulmer, Jeffrey W. Ohlmann, Justin C. Goodson, Mike Hewitt, Jan Fabian Ehmke, Chelsea C. White, Dirk C. Mattfeld, Timothy J. Lowe and Michel Gendreau and has published in prestigious journals such as Management Science, European Journal of Operational Research and Operations Research.

In The Last Decade

Barrett W. Thomas

62 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Barrett W. Thomas United States 31 1.8k 1.3k 833 585 225 64 2.6k
Dominique Feillet France 37 3.5k 1.9× 1.6k 1.3× 1.3k 1.6× 703 1.2× 274 1.2× 97 4.2k
Walter Rei Canada 25 1.7k 0.9× 801 0.6× 661 0.8× 401 0.7× 216 1.0× 56 2.5k
Richard Eglese United Kingdom 27 2.2k 1.2× 1.0k 0.8× 807 1.0× 562 1.0× 182 0.8× 54 3.3k
Gianpaolo Ghiani Italy 26 1.7k 0.9× 889 0.7× 702 0.8× 446 0.8× 255 1.1× 96 2.4k
Roberto Baldacci Italy 35 3.5k 1.9× 1.8k 1.4× 1.6k 1.9× 490 0.8× 309 1.4× 108 4.2k
Juan‐José Salazar‐González Spain 34 2.7k 1.5× 1.0k 0.8× 835 1.0× 436 0.7× 353 1.6× 105 3.4k
Ann Melissa Campbell United States 29 2.1k 1.1× 1.4k 1.1× 1.2k 1.4× 540 0.9× 561 2.5× 66 3.2k
Anand Subramanian Brazil 29 2.0k 1.1× 1.1k 0.9× 716 0.9× 350 0.6× 103 0.5× 96 2.8k
Thibaut Vidal Brazil 28 3.1k 1.7× 1.6k 1.2× 1.2k 1.4× 327 0.6× 228 1.0× 69 3.7k
Jakob Puchinger France 22 1.5k 0.8× 1.5k 1.1× 689 0.8× 658 1.1× 98 0.4× 57 3.0k

Countries citing papers authored by Barrett W. Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Barrett W. Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barrett W. Thomas. 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 Barrett W. Thomas. The network helps show where Barrett W. Thomas may publish in the future.

Co-authorship network of co-authors of Barrett W. Thomas

This figure shows the co-authorship network connecting the top 25 collaborators of Barrett W. Thomas. A scholar is included among the top collaborators of Barrett W. Thomas 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 Barrett W. Thomas. Barrett W. Thomas 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.
Ulmer, Marlin W., et al.. (2025). Learning State-Dependent Policy Parametrizations for Dynamic Technician Routing with Rework. Transportation Science. 59(5). 1153–1171.
2.
Reed, Sara M., Ann Melissa Campbell, & Barrett W. Thomas. (2022). Impact of Autonomous Vehicle Assisted Last-Mile Delivery in Urban to Rural Settings. Transportation Science. 56(6). 1530–1548. 14 indexed citations
3.
Reed, Sara M., Ann Melissa Campbell, & Barrett W. Thomas. (2021). The Value of Autonomous Vehicles for Last-Mile Deliveries in Urban Environments. Management Science. 68(1). 280–299. 59 indexed citations
4.
Song, Yongjia, Marlin W. Ulmer, Barrett W. Thomas, & Stein W. Wallace. (2020). Building Trust in Home Services—Stochastic Team-Orienteering with Consistency Constraints. Transportation Science. 54(3). 823–838. 30 indexed citations
5.
Ulmer, Marlin W., Justin C. Goodson, Dirk C. Mattfeld, & Barrett W. Thomas. (2020). On modeling stochastic dynamic vehicle routing problems. EURO Journal on Transportation and Logistics. 9(2). 100008–100008. 96 indexed citations
6.
Agatz, Niels, Mike Hewitt, & Barrett W. Thomas. (2020). “Make no little plans”: Impactful research to solve the next generation of transportation problems. Networks. 77(2). 269–286. 21 indexed citations
7.
Hewitt, Mike, et al.. (2020). Managing uncertainty in demand through inventory and workforce development. International Journal of Production Research. 59(21). 6507–6527. 4 indexed citations
8.
Ulmer, Marlin W., et al.. (2020). The Restaurant Meal Delivery Problem: Dynamic Pickup and Delivery with Deadlines and Random Ready Times. Transportation Science. 55(1). 75–100. 158 indexed citations
9.
Ulmer, Marlin W. & Barrett W. Thomas. (2019). Enough Waiting for the Cable Guy—Estimating Arrival Times for Service Vehicle Routing. Transportation Science. 53(3). 897–916. 14 indexed citations
10.
Ulmer, Marlin W., Barrett W. Thomas, & Dirk C. Mattfeld. (2018). Preemptive depot returns for dynamic same-day delivery. EURO Journal on Transportation and Logistics. 8(4). 327–361. 67 indexed citations
11.
Ulmer, Marlin W. & Barrett W. Thomas. (2018). Same‐day delivery with heterogeneous fleets of drones and vehicles. Networks. 72(4). 475–505. 164 indexed citations
12.
Hewitt, Mike & Barrett W. Thomas. (2018). Special Issue on Uncertainty in Logistics and Transportation Systems. Transportation Science. 52(1). 1–2. 5 indexed citations
13.
Ulmer, Marlin W., et al.. (2017). Instances for "The Restaurant Meal Delivery Problem: Dynamic Pick-Up and Delivery with Deadlines and Random Ready Times". Iowa Research Online (The University of Iowa). 5 indexed citations
14.
Campbell, Ann Melissa, et al.. (2017). The Same-Day Delivery Problem for Online Purchases. Transportation Science. 53(1). 167–184. 181 indexed citations
15.
Jones, Philip C., et al.. (2016). Sugarcane Harvest Logistics in Brazil. Transportation Science. 51(2). 771–789. 22 indexed citations
16.
Jones, Philip C., et al.. (2016). Instances for "Sugarcane Harvest Logistics in Brazil". Iowa Research Online (The University of Iowa).
17.
Thomas, Barrett W., et al.. (2015). The technician routing problem with experience-based service times. Omega. 61. 49–61. 52 indexed citations
18.
Campbell, Ann Melissa, et al.. (2013). The probabilistic traveling salesman problem with time windows. EURO Journal on Transportation and Logistics. 2(1-2). 89–107. 19 indexed citations
19.
Grasman, Scott E. & Barrett W. Thomas. (2013). Scrambled experts: team handicaps and win probabilities for golf scrambles. Journal of Quantitative Analysis in Sports. 9(3). 1 indexed citations
20.
Thomas, Barrett W. & Chelsea C. White. (2005). The Dynamic and Stochastic Shortest Path Problem with Anticipation 1. 4 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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