Stephen G. Ritchie

166 papers receiving 3.0k citations

Peers

Stephen G. Ritchie
Comparison fields: 5 of 110
  • Transportation 1.2k
  • Building and Construction 1.7k
  • Automotive Engineering 697
  • Control and Systems Engineering 1.1k
  • Safety, Risk, Reliability and Quality 368
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Citations per year

Countries citing papers authored by Stephen G. Ritchie

Since Specialization
Citations

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

Fields of papers citing papers by Stephen G. Ritchie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen G. Ritchie. 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 Stephen G. Ritchie. The network helps show where Stephen G. Ritchie may publish in the future.

Co-authors

The 25 scholars most cited alongside Stephen G. Ritchie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stephen G. Ritchie Line = papers co-authored together Stephen G. Ritchie links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 180 papers — load more, or switch the sort, to bring in the rest.

#Work
1
TRANSPORTATION RESEARCH. PART C, EMERGING TECHNOLOGIES
1993227
2 2005148
3 2001144
4 1993142
5 1995125
6 1999106
7 1999105
8 199790
9 199386
10 199681
11 200580
12 199480
13 200277
14 200576
15 201966
16 200156
17 200453
18 202253
19 199750
20 200248

About Stephen G. Ritchie

Stephen G. Ritchie is a scholar working on Building and Construction, Transportation, Control and Systems Engineering, Automotive Engineering and Civil and Structural Engineering, having authored 180 papers that have together received 3.3k indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (96 papers), Transportation Planning and Optimization (63 papers), Traffic control and management (40 papers), Infrastructure Maintenance and Monitoring (26 papers), Vehicle emissions and performance (24 papers), Urban and Freight Transport Logistics (16 papers), Transport Systems and Technology (12 papers) and Neural Networks and Applications (11 papers). The work is most often cited by research in Transportation (1.2k citations), Building and Construction (1.7k citations), Automotive Engineering (697 citations), Control and Systems Engineering (1.1k citations) and Safety, Risk, Reliability and Quality (368 citations). Stephen G. Ritchie has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Cheol Oh, Ruey Long Cheu, Mohamed Kaseko, Jiuh‐Biing Sheu, Baher Abdulhai, Carlos Sun, R. Jayakrishnan, Jun-Seok Oh, Seri Park and Suman Mitra. Their work appears in journals such as Transportation Research Part C Emerging Technologies, Journal of Transportation Engineering, IEEE Transactions on Intelligent Transportation Systems, Transportation Research Record Journal of the Transportation Research Board and Transportation Research Part A Policy and Practice.

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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