Christopher M. Day

2.2k total citations
116 papers, 1.4k citations indexed

About

Christopher M. Day is a scholar working on Building and Construction, Control and Systems Engineering and Transportation. According to data from OpenAlex, Christopher M. Day has authored 116 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Building and Construction, 68 papers in Control and Systems Engineering and 57 papers in Transportation. Recurrent topics in Christopher M. Day's work include Traffic Prediction and Management Techniques (69 papers), Traffic control and management (65 papers) and Transportation Planning and Optimization (55 papers). Christopher M. Day is often cited by papers focused on Traffic Prediction and Management Techniques (69 papers), Traffic control and management (65 papers) and Transportation Planning and Optimization (55 papers). Christopher M. Day collaborates with scholars based in United States, United Kingdom and China. Christopher M. Day's co-authors include Darcy M. Bullock, James R. Sturdevant, Thomas M. Brennan, Gary L. McPherson, Jingjing Zhan, Yunfeng Lu, Gerhard Piringer, Vijay T. John, Howell Li and H. Waruna H. Premachandra and has published in prestigious journals such as Environmental Science & Technology, Applied Physics Letters and Carbon.

In The Last Decade

Christopher M. Day

102 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
Christopher M. Day United States 20 720 715 599 271 263 116 1.4k
Zhipeng Li China 19 926 1.3× 553 0.8× 589 1.0× 102 0.4× 59 0.2× 76 1.2k
Shuyan Chen China 18 82 0.1× 169 0.2× 51 0.1× 123 0.5× 87 0.3× 57 847
Zhuangzhuang Shao China 15 179 0.2× 274 0.4× 185 0.3× 156 0.6× 82 0.3× 30 724
Guangxuan Liao China 19 112 0.2× 49 0.1× 72 0.1× 840 3.1× 56 0.2× 103 1.3k
Haibo Chen United Kingdom 21 106 0.1× 115 0.2× 135 0.2× 20 0.1× 71 0.3× 64 1.1k
George Scora United States 17 205 0.3× 133 0.2× 374 0.6× 18 0.1× 24 0.1× 44 1.0k
Fuquan Zhao China 23 181 0.3× 34 0.0× 91 0.2× 57 0.2× 462 1.8× 83 2.7k
Qiang Bai China 18 72 0.1× 147 0.2× 111 0.2× 47 0.2× 60 0.2× 53 756
Stefan Hausberger United States 20 242 0.3× 87 0.1× 420 0.7× 31 0.1× 43 0.2× 94 1.7k

Countries citing papers authored by Christopher M. Day

Since Specialization
Citations

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

Fields of papers citing papers by Christopher M. Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher M. Day

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher M. Day. A scholar is included among the top collaborators of Christopher M. Day 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 M. Day. Christopher M. Day 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.
Day, Christopher M., et al.. (2023). Traffic Flow Characteristics in Work Zone and Non-Work Zone Environment and Its Impact on Road Crashes at the Segment Level. Journal of Transportation Technologies. 13(4). 615–631.
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Day, Christopher M., John Shaw, Arya Haghighat, et al.. (2023). Right-Turn-on-Red Site Considerations and Capacity Analysis: Practitioner's Guide. Transportation Research Board eBooks.
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Mahmud, Shoaib & Christopher M. Day. (2023). Evaluation of Arterial Signal Coordination with Commercial Connected Vehicle Data: Empirical Traffic Flow Visualization and Performance Measurement. Journal of Transportation Technologies. 13(3). 327–352. 8 indexed citations
6.
Mahmud, Shoaib & Christopher M. Day. (2023). Exploring Crowdsourced Hard—Acceleration and Braking Event Data for Evaluating Safety Performance of Low-Volume Rural Highways in Iowa. Journal of Transportation Technologies. 13(2). 282–300. 6 indexed citations
7.
Day, Christopher M., et al.. (2022). Spatial Analysis of Relationships Between Intersection Safety, the Urban Built Environment, and Average Income Level: A Case Study of Des Moines. Transportation Research Record Journal of the Transportation Research Board. 2677(2). 803–817. 4 indexed citations
8.
Singleton, Patrick A., et al.. (2021). Impact of COVID-19 on Traffic Signal Systems: Survey of Agency Interventions and Observed Changes in Pedestrian Activity. Transportation Research Record Journal of the Transportation Research Board. 2677(4). 192–203. 5 indexed citations
9.
Stevanović, Aleksandar, Milan Zlatkovic, Qichao Wang, et al.. (2020). Traffic Signal Simulation Cookbook (ver 1.0). Zenodo (CERN European Organization for Nuclear Research).
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Remias, Stephen M., et al.. (2018). Evaluating the Performance of Coordinated Signal Timing: Comparison of Common Data Types with Automated Vehicle Location Data. Transportation Research Record Journal of the Transportation Research Board. 2672(18). 128–142. 19 indexed citations
12.
Day, Christopher M. & Darcy M. Bullock. (2017). Visualization of the Potential Performance of Coordinated Systems to Support Management of Signal Timing. Transportation Research Board 96th Annual MeetingTransportation Research Board. 1 indexed citations
13.
Day, Christopher M., et al.. (2017). Outcome Assessment of Peer-to-Peer Adaptive Control Adjacent to a National Park. Transportation Research Record Journal of the Transportation Research Board. 2620(1). 43–53. 5 indexed citations
14.
Li, Howell, Steven Lavrenz, Christopher M. Day, Amanda Stevens, & Darcy M. Bullock. (2016). Quantifying Benefits of Signal Timing Maintenance and Optimization Using both Travel Time and Travel Time Reliability Measures. Purdue e-Pubs (Purdue University System). 1 indexed citations
15.
Day, Christopher M., et al.. (2016). Implementation of Automated Traffic Signal Performance Measures. ITE journal. 86(8). 13 indexed citations
16.
Day, Christopher M., et al.. (2016). Evaluating Transit Signal Priority and Offset Optimization Strategies in Microsimulation Using Purdue Coordination Diagram. Transportation Research Board 95th Annual MeetingTransportation Research Board. 1 indexed citations
17.
Day, Christopher M., Howell Li, Alexander M. Hainen, et al.. (2015). Congestion Ranking of Protected and Permitted Movements across Agency Inventory. Transportation Research Board 94th Annual MeetingTransportation Research Board. 1 indexed citations
18.
Brennan, Thomas M., et al.. (2011). Assessing Opportunities and Benefits of Alternative Winter Operation Timing Plans for Signalized Arterials. Transportation Research Board 90th Annual MeetingTransportation Research Board. 2 indexed citations
19.
Bullock, Darcy M., Christopher M. Day, Thomas M. Brennan, James R. Sturdevant, & Jason S. Wasson. (2011). Architecture for Active Management of Geographically Distributed Signal Systems. ITE journal. 81(5). 8 indexed citations
20.
Bullock, Darcy M., James R. Sturdevant, & Christopher M. Day. (2008). Signalized Intersection Performance Measures for Operations Decision-Making. ITE journal. 78(8). 20–23. 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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