Grant G. Schultz

708 total citations
73 papers, 496 citations indexed

About

Grant G. Schultz is a scholar working on Building and Construction, Safety, Risk, Reliability and Quality and Transportation. According to data from OpenAlex, Grant G. Schultz has authored 73 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Building and Construction, 44 papers in Safety, Risk, Reliability and Quality and 27 papers in Transportation. Recurrent topics in Grant G. Schultz's work include Traffic Prediction and Management Techniques (43 papers), Traffic and Road Safety (43 papers) and Transportation Planning and Optimization (24 papers). Grant G. Schultz is often cited by papers focused on Traffic Prediction and Management Techniques (43 papers), Traffic and Road Safety (43 papers) and Transportation Planning and Optimization (24 papers). Grant G. Schultz collaborates with scholars based in United States, United Kingdom and China. Grant G. Schultz's co-authors include Mitsuru Saito, Laurence R. Rilett, Xuesong Wang, Dennis L. Eggett, Shouen Fang, Jinghui Yuan, Jeff Lewis, C. Shane Reese, Rongjie Yu and Matthew J. Heaton and has published in prestigious journals such as SHILAP Revista de lepidopterología, Technometrics and Accident Analysis & Prevention.

In The Last Decade

Grant G. Schultz

65 papers receiving 444 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Grant G. Schultz United States 10 349 212 210 196 105 73 496
Ingrid B. Potts United States 11 370 1.1× 124 0.6× 154 0.7× 178 0.9× 109 1.0× 47 476
Milan Zlatkovic United States 12 212 0.6× 191 0.9× 259 1.2× 215 1.1× 59 0.6× 54 478
Bryan K. Allery United States 11 377 1.1× 157 0.7× 143 0.7× 106 0.5× 118 1.1× 13 420
Jonathan Wood United States 16 340 1.0× 136 0.6× 177 0.8× 104 0.5× 114 1.1× 35 547
Emanuele Sacchi Canada 16 489 1.4× 147 0.7× 151 0.7× 171 0.9× 172 1.6× 30 561
Ghulam H. Bham United States 13 328 0.9× 218 1.0× 269 1.3× 294 1.5× 52 0.5× 51 580
Jake Kononov United States 14 452 1.3× 184 0.9× 154 0.7× 126 0.6× 141 1.3× 23 504
Karen R. Richard United States 9 305 0.9× 101 0.5× 108 0.5× 132 0.7× 104 1.0× 14 363
Flávio José Craveiro Cunto Brazil 11 503 1.4× 188 0.9× 250 1.2× 292 1.5× 63 0.6× 35 638
Michael P. Pratt United States 13 407 1.2× 159 0.8× 109 0.5× 171 0.9× 187 1.8× 73 551

Countries citing papers authored by Grant G. Schultz

Since Specialization
Citations

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

Fields of papers citing papers by Grant G. Schultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grant G. Schultz

This figure shows the co-authorship network connecting the top 25 collaborators of Grant G. Schultz. A scholar is included among the top collaborators of Grant G. Schultz 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 Grant G. Schultz. Grant G. Schultz 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.
Fulda, Nancy, et al.. (2024). Predicting Directional Traffic Volume at Intersections with Automated Traffic Signal Performance Measures Data Using Machine Learning Algorithms. Transportation Research Record Journal of the Transportation Research Board. 2678(12). 1736–1750. 1 indexed citations
2.
Schultz, Grant G., et al.. (2024). Simulating Incident Management Team Response and Performance. Procedia Computer Science. 238. 91–96.
3.
Schultz, Grant G., et al.. (2023). A Methodology to Detect Traffic Data Anomalies in Automated Traffic Signal Performance Measures. SHILAP Revista de lepidopterología. 3(4). 1175–1194. 2 indexed citations
4.
Schultz, Grant G., et al.. (2023). Using complementary intersection and segment analyses to identify crash hot spots. Safety Science. 163. 106121–106121. 2 indexed citations
5.
Schultz, Grant G., et al.. (2022). The Benefits of Expanding the Incident Management Program in Utah. 1 indexed citations
6.
Wang, Xuesong, Jinghui Yuan, Grant G. Schultz, & Shouen Fang. (2018). Investigating the safety impact of roadway network features of suburban arterials in Shanghai. Accident Analysis & Prevention. 113. 137–148. 46 indexed citations
7.
Saito, Mitsuru, et al.. (2017). Use of High-Resolution Data to Evaluate the Accuracy of Mean and 85th Percentile Approach Speeds Collected by Microwave Sensors. Transportation Research Board 96th Annual MeetingTransportation Research Board. 3 indexed citations
8.
Saito, Mitsuru, et al.. (2017). Implementing Highway Safety Manual Life-Cycle Benefit–Cost Analysis of Safety Improvements. Transportation Research Record Journal of the Transportation Research Board. 2636(1). 23–31.
9.
Saito, Mitsuru, et al.. (2015). Crash Prediction Modeling for Curved Segments of Rural Two-lane Two-way Highways in Utah. Transportation Research Board 95th Annual MeetingTransportation Research Board. 2 indexed citations
10.
Saito, Mitsuru, et al.. (2015). A Heuristic Approach for Identifying Horizontal Curves and Their Parameters Given LIDAR Point Cloud Data. 2 indexed citations
11.
Schultz, Grant G., David R. Bassett, Mitsuru Saito, & C. Shane Reese. (2015). Use of Roadway Attributes in Hot Spot Identification and Analysis. Transportation Research Board 95th Annual MeetingTransportation Research Board. 1 indexed citations
12.
Schultz, Grant G., et al.. (2015). I-15 Express Lanes Study Phase II: Recommendations. 1 indexed citations
13.
Schultz, Grant G., et al.. (2014). GIS Framework for Hierarchical Bayesian based Crash Data Analysis. 477–486. 1 indexed citations
14.
Schultz, Grant G., et al.. (2012). Traffic & Safety Statewide Model and GIS Modeling. 3 indexed citations
15.
Schultz, Grant G., et al.. (2011). Hierarchical Bayesian Modeling for Before-and-After Studies. Transportation Research Board 90th Annual MeetingTransportation Research Board. 8 indexed citations
16.
Schultz, Grant G., et al.. (2009). Relationship between Access Management and Other Physical Roadway Characteristics and Safety. Journal of Transportation Engineering. 136(2). 141–148. 20 indexed citations
17.
Schultz, Grant G., et al.. (2008). Correlating Access Management with Crash Rate, Severity, and Collision Type. Transportation Research Board 87th Annual MeetingTransportation Research Board. 6 indexed citations
18.
19.
Schultz, Grant G., et al.. (2007). Evaluating the Impact of Raised Median Installations.
20.
Schultz, Grant G., et al.. (2007). Safety Impacts of Access Management Techniques in Utah. Transportation Research Record Journal of the Transportation Research Board. 1994(1). 35–42. 21 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ingrid B. Potts Breakdown of academic impact, for papers by Milan Zlatkovic Breakdown of academic impact, for papers by Bryan K. Allery Breakdown of academic impact, for papers by Jonathan Wood Breakdown of academic impact, for papers by Emanuele Sacchi Breakdown of academic impact, for papers by Ghulam H. Bham Breakdown of academic impact, for papers by Jake Kononov Breakdown of academic impact, for papers by Karen R. Richard Breakdown of academic impact, for papers by Flávio José Craveiro Cunto Breakdown of academic impact, for papers by Michael P. Pratt
Rankless by CCL
2026