Christopher Zegras

1.3k total citations
46 papers, 904 citations indexed

About

Christopher Zegras is a scholar working on Transportation, Automotive Engineering and Building and Construction. According to data from OpenAlex, Christopher Zegras has authored 46 papers receiving a total of 904 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Transportation, 10 papers in Automotive Engineering and 6 papers in Building and Construction. Recurrent topics in Christopher Zegras's work include Transportation Planning and Optimization (29 papers), Urban Transport and Accessibility (29 papers) and Human Mobility and Location-Based Analysis (9 papers). Christopher Zegras is often cited by papers focused on Transportation Planning and Optimization (29 papers), Urban Transport and Accessibility (29 papers) and Human Mobility and Location-Based Analysis (9 papers). Christopher Zegras collaborates with scholars based in United States, Singapore and Chile. Christopher Zegras's co-authors include Moshe Ben‐Akiva, Francisco C. Pereira, Fang Zhao, Lisa Rayle, Joseph M. Sussman, Joseph Ferreira, Young-Sung Kim, Sebastián Raveau, Kakali Basak and Yi Zhu and has published in prestigious journals such as Transportation Research Part B Methodological, Urban Studies and Transportation Research Part D Transport and Environment.

In The Last Decade

Christopher Zegras

42 papers receiving 836 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Zegras United States 15 673 213 197 126 100 46 904
Roger Gorham United States 5 530 0.8× 196 0.9× 178 0.9× 89 0.7× 62 0.6× 12 765
Rounaq Basu United States 16 511 0.8× 169 0.8× 215 1.1× 86 0.7× 78 0.8× 35 756
Hanna Maoh Canada 18 631 0.9× 354 1.7× 212 1.1× 168 1.3× 75 0.8× 65 1.1k
Shomik Raj Mehndiratta United States 14 492 0.7× 151 0.7× 156 0.8× 134 1.1× 66 0.7× 35 821
Barbara Lenz Germany 13 495 0.7× 192 0.9× 237 1.2× 82 0.7× 75 0.8× 26 789
Floridea Di Ciommo Spain 16 671 1.0× 186 0.9× 199 1.0× 121 1.0× 33 0.3× 41 871
Hossein Haghshenas Iran 11 559 0.8× 283 1.3× 105 0.5× 76 0.6× 83 0.8× 30 843
Timothy Welch United States 13 716 1.1× 200 0.9× 190 1.0× 103 0.8× 58 0.6× 43 916
Michael G. McNally United States 17 910 1.4× 302 1.4× 315 1.6× 112 0.9× 55 0.6× 92 1.1k
Pierluigi Coppola Italy 22 734 1.1× 383 1.8× 164 0.8× 198 1.6× 65 0.7× 78 1.2k

Countries citing papers authored by Christopher Zegras

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Zegras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Zegras

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Zegras. A scholar is included among the top collaborators of Christopher Zegras 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 Christopher Zegras. Christopher Zegras 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.
Hsu, David, et al.. (2022). Planning the Built Environment and Land Use Towards Deep Decarbonization of the United States. Journal of Planning Literature. 38(3). 426–441. 11 indexed citations
2.
Pereira, Francisco C., et al.. (2022). A neural-embedded discrete choice model: Learning taste representation with strengthened interpretability. Transportation Research Part B Methodological. 163. 166–186. 28 indexed citations
3.
Cheah, Lynette, et al.. (2021). Evaluating the Impact of an Urban Consolidation Centre and Off-Hour Deliveries on Freight Flows to a Retail District Using Agent-Based Simulation. 1 indexed citations
4.
Kong, Hui, et al.. (2021). User satisfaction and service quality improvement priority of bus rapid transit in Belo Horizonte, Brazil. Case Studies on Transport Policy. 9(4). 1900–1911. 24 indexed citations
5.
Oke, Jimi, et al.. (2018). Global Urban Typology Discovery with a Latent Class Choice Model. Transportation Research Board 97th Annual MeetingTransportation Research Board. 1 indexed citations
6.
You, Linlin, et al.. (2018). Future Mobility Sensing: An Intelligent Mobility Data Collection and Visualization Platform. 2653–2658. 11 indexed citations
7.
Adnan, Muhammad, Francisco C. Pereira, Carlos Lima Azevedo, et al.. (2016). SimMobility: A Multi-scale Integrated Agent-Based Simulation Platform. ePrints Soton (University of Southampton). 83 indexed citations
8.
Pereira, Francisco C., et al.. (2015). An Integrated Stop-Mode Detection Algorithm for Real World Smartphone-Based Travel Survey. Transportation Research Board 94th Annual MeetingTransportation Research Board. 8 indexed citations
9.
Zegras, Christopher. (2015). Transport, Climate Change and the City. Transport Reviews. 35(5). 672–674. 22 indexed citations
10.
Brakewood, Candace, et al.. (2015). An Analysis of Commuter Rail Real-Time Information in Boston. Journal of Public Transportation. 18(1). 1–20. 14 indexed citations
11.
Blázquez, Carola, Jae Seung Lee, & Christopher Zegras. (2015). Children at risk: A comparison of child pedestrian traffic collisions in Santiago, Chile, and Seoul, South Korea. Traffic Injury Prevention. 17(3). 304–312. 7 indexed citations
12.
Jiang, Yang & Christopher Zegras. (2011). Does Transport Energy Follow Urban Form? Examination of Nine Neighborhoods in Jinan, China. Transportation Research Board 90th Annual MeetingTransportation Research Board. 2 indexed citations
13.
Zegras, Christopher, Jae Seung Lee, & Eran Ben‐Joseph. (2010). Neighborhoods, Streets, and Nonmotorized Travel: Evidence from Baby Boomers Living in Age-Restricted Active Adult Communities. Transportation Research Board 89th Annual MeetingTransportation Research Board. 73(3). 479–88. 1 indexed citations
14.
Zegras, Christopher. (2010). The Built Environment and Motor Vehicle Ownership and Use: Evidence from Santiago de Chile. Urban Studies. 47(8). 1793–1817. 249 indexed citations
15.
Zegras, Christopher, et al.. (2004). Scenario Planning for Strategic Regional Transportation Planning. 1 indexed citations
16.
Zegras, Christopher, et al.. (2004). Scenario Planning for Strategic Regional Transportation Planning. Journal of Urban Planning and Development. 130(1). 2–13. 58 indexed citations
17.
Zegras, Christopher & Ralph Gakenheimer. (1999). CAR SHARING IN LATIN AMERICA - EXAMINING PROSPECTS IN SANTIAGO. World Transport Policy and Practice. 5(3). 1 indexed citations
18.
Zegras, Christopher, et al.. (1999). EXPERIENCES AND ISSUES IN URBAN TRANSPORT INFRASTRUCTURE CONCESSIONS. 1–49. 6 indexed citations
19.
Zegras, Christopher, et al.. (1998). THE ROLE OF SMART CARDS IN PUBLIC TRANSPORT INTEGRATION: LESSONS FOR SANTIAGO. 2 indexed citations
20.
Hall, Stephen S., et al.. (1994). Transportation and energy in Santiago, Chile. Transport Policy. 1(4). 233–243. 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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