Mark Burris

2.0k total citations
139 papers, 1.4k citations indexed

About

Mark Burris is a scholar working on Transportation, Automotive Engineering and Economics and Econometrics. According to data from OpenAlex, Mark Burris has authored 139 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Transportation, 50 papers in Automotive Engineering and 46 papers in Economics and Econometrics. Recurrent topics in Mark Burris's work include Transportation Planning and Optimization (112 papers), Urban Transport and Accessibility (56 papers) and Economic and Environmental Valuation (44 papers). Mark Burris is often cited by papers focused on Transportation Planning and Optimization (112 papers), Urban Transport and Accessibility (56 papers) and Economic and Environmental Valuation (44 papers). Mark Burris collaborates with scholars based in United States, United Kingdom and China. Mark Burris's co-authors include Kumares C. Sinha, Ram M. Pendyala, W. Douglass Shaw, Edward C. Sullivan, Tariq Usman Saeed, Paul J. Carlson, Samuel Labi, Alireza Talebpour, Haotian Zhong and Sunil Patil and has published in prestigious journals such as SHILAP Revista de lepidopterología, Technological Forecasting and Social Change and Transportation Research Part A Policy and Practice.

In The Last Decade

Mark Burris

124 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Burris United States 21 1.1k 591 373 275 253 139 1.4k
Jeremy Shires United Kingdom 13 1.3k 1.2× 396 0.7× 352 0.9× 347 1.3× 74 0.3× 51 1.6k
Tomio Miwa Japan 20 869 0.8× 475 0.8× 121 0.3× 393 1.4× 280 1.1× 122 1.3k
Eran Ben-Elia Israel 25 1.5k 1.4× 646 1.1× 431 1.2× 326 1.2× 221 0.9× 59 1.9k
Dimitris Milakis Netherlands 19 1.2k 1.2× 1.3k 2.1× 97 0.3× 259 0.9× 242 1.0× 39 1.9k
Bhargab Maitra India 18 664 0.6× 241 0.4× 226 0.6× 296 1.1× 212 0.8× 94 1.1k
Sascha Hoogendoorn-Lanser Netherlands 20 1.4k 1.3× 778 1.3× 227 0.6× 314 1.1× 158 0.6× 63 1.6k
Joshua Auld United States 25 1.2k 1.1× 798 1.4× 137 0.4× 263 1.0× 214 0.8× 97 1.6k
Luis Martínez Portugal 19 1.1k 1.0× 715 1.2× 173 0.5× 376 1.4× 78 0.3× 52 1.6k
Isam Kaysi Lebanon 17 868 0.8× 372 0.6× 148 0.4× 366 1.3× 342 1.4× 57 1.2k
Jeppe Rich Denmark 22 707 0.7× 671 1.1× 172 0.5× 263 1.0× 131 0.5× 68 1.3k

Countries citing papers authored by Mark Burris

Since Specialization
Citations

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

Fields of papers citing papers by Mark Burris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Burris

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Burris. A scholar is included among the top collaborators of Mark Burris 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 Mark Burris. Mark Burris 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.
Zhong, Haotian, Wei Li, Mark Burris, & Kumares C. Sinha. (2025). Gender, midfare, and the role of autonomous vehicles. Cities. 161. 105877–105877. 2 indexed citations
2.
Zhong, Haotian, Kailai Wang, Wei Li, Mark Burris, & Kumares C. Sinha. (2024). An urban-rural divide? Preferences for autonomous vehicles in small and med-sized metropolitan areas. Applied Geography. 169. 103324–103324. 6 indexed citations
3.
Burris, Mark, et al.. (2024). Electric truck feasibility for port drayage operations: Port Houston case study. Transportation Research Part D Transport and Environment. 135. 104355–104355. 1 indexed citations
4.
Burris, Mark, et al.. (2024). Income and Geographic Distribution of a Vehicle Miles Traveled Fee: Case Study of Four States. Transportation Research Record Journal of the Transportation Research Board. 2679(4). 615–629.
5.
Burris, Mark, et al.. (2023). Factors influencing traveler use of transit before, during, and after the COVID-19 pandemic. Journal of Public Transportation. 25. 100058–100058. 7 indexed citations
6.
Burris, Mark, et al.. (2022). Using Behavioral Economics to Identify Potential Managed Lane Users. Transportation Research Record Journal of the Transportation Research Board. 2676(8). 144–158. 2 indexed citations
7.
Burris, Mark, et al.. (2020). The impacts of connected vehicle technology on network-wide traffic operation and fuel consumption under various incident scenarios. Transportation Planning and Technology. 43(3). 293–312. 8 indexed citations
8.
Burris, Mark, et al.. (2019). Psychological items: a useful addition in modeling travel behavior on managed lanes. Transportation. 48(1). 215–237. 4 indexed citations
9.
Eisele, William L., et al.. (2017). Estimating freeway route travel time reliability from data on component links and associated cost implications. International Journal of Urban Sciences. 22(3). 414–430. 5 indexed citations
10.
Burris, Mark, et al.. (2017). Empirical Study of the Variation of Value of Travel Time and Reliability. Transportation Research Board 96th Annual MeetingTransportation Research Board. 1 indexed citations
11.
Burris, Mark, et al.. (2017). Real Option Analysis to Value Managed Lanes. Transportation Research Board 96th Annual MeetingTransportation Research Board. 1 indexed citations
12.
Burris, Mark, et al.. (2017). The Value of Travel Time and Reliability- Empirical Evidence from Katy Freeway. OakTrust (Texas A&M University Libraries). 1 indexed citations
13.
Burris, Mark, et al.. (2016). Models of transportation choice with risk: an application to managed lanes. Transportation Letters. 9(5). 276–295. 12 indexed citations
14.
Burris, Mark, et al.. (2013). The Short-Run Impact of Gas Prices Fluctuations on Toll Road Use. Transportation Research Board 92nd Annual MeetingTransportation Research Board. 1 indexed citations
15.
Cho, Youngjae, et al.. (2011). What Are I-394 HOT Lane Drivers Paying for?. Transportation Research Board 90th Annual MeetingTransportation Research Board. 6 indexed citations
16.
Patil, Sunil, et al.. (2010). Value of Travel Time Savings on Managed Lanes for Urgent Situations. Transportation Research Board 89th Annual MeetingTransportation Research Board. 1 indexed citations
17.
Naik, Bhaven, et al.. (2008). Multivariate Analysis of High-Occupancy-Toll Lane Usage in Houston. Transportation Research Board 87th Annual MeetingTransportation Research Board. 1 indexed citations
18.
Burris, Mark, et al.. (2006). Slugging in Houston — Casual Carpool Passenger Characteristics. Journal of Public Transportation. 9(5). 23–40. 45 indexed citations
19.
Burris, Mark, et al.. (2002). LEE COUNTY'S VARIABLE PRICING PROJECT. ITE journal. 72(4). 4 indexed citations
20.
Burris, Mark, et al.. (1996). USING MICROSIMULATION TO QUANTIFY THE IMPACT OF ELECTRONIC TOLL COLLECTION. ITE journal. 66(7). 28 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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