Christopher M. Day

2.2k citations
116 papers · 1.4k indexed · h-index 20
Topics
Traffic Prediction and Management Techniques (69 papers)Traffic control and management (65 papers)Transportation Planning and Optimization (55 papers)

In The Last Decade

Christopher M. Day

102 papers receiving 1.3k citations

Peers

Christopher M. Day
Comparison fields: 5 of 96
  • Control and Systems Engineering 720
  • Building and Construction 715
  • Transportation 599
  • Safety, Risk, Reliability and Quality 271
  • Biomedical Engineering 263
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Citations per field
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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
#WorkIndexed citations
1 0
2 0
3 0
4 0
5 8
6 6
7 4
8 5
9 0
10 6
11 19
12
Visualization of the Potential Performance of Coordinated Systems to Support Management of Signal Timing
1
13 5
14 1
15
Implementation of Automated Traffic Signal Performance Measures
13
16
Evaluating Transit Signal Priority and Offset Optimization Strategies in Microsimulation Using Purdue Coordination Diagram
1
17
Congestion Ranking of Protected and Permitted Movements across Agency Inventory
1
18
Assessing Opportunities and Benefits of Alternative Winter Operation Timing Plans for Signalized Arterials
2
19 8
20
Signalized Intersection Performance Measures for Operations Decision-Making
28

About Christopher M. Day

Christopher M. Day is a scholar working on Transportation, Building and Construction and Control and Systems Engineering, having authored 116 papers that have together received 1.4k indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (69 papers), Traffic control and management (65 papers) and Transportation Planning and Optimization (55 papers). The work is most often cited by research in Transportation (599 citations), Building and Construction (715 citations) and Control and Systems Engineering (720 citations). Christopher M. Day has collaborated with scholars based in United States, United Kingdom and China. Frequent 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. Their work appears in journals such as Environmental Science & Technology, Applied Physics Letters and Carbon.

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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