Elizabeth Sall

601 total citations
18 papers, 446 citations indexed

About

Elizabeth Sall is a scholar working on Transportation, Automotive Engineering and Building and Construction. According to data from OpenAlex, Elizabeth Sall has authored 18 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Transportation, 8 papers in Automotive Engineering and 4 papers in Building and Construction. Recurrent topics in Elizabeth Sall's work include Transportation Planning and Optimization (15 papers), Urban Transport and Accessibility (12 papers) and Transportation and Mobility Innovations (7 papers). Elizabeth Sall is often cited by papers focused on Transportation Planning and Optimization (15 papers), Urban Transport and Accessibility (12 papers) and Transportation and Mobility Innovations (7 papers). Elizabeth Sall collaborates with scholars based in United States and Australia. Elizabeth Sall's co-authors include William Charlton, Chandra R. Bhat, Joan L. Walker, Neema Nassir, Michael Schwartz, Gregory D. Erhardt, Martín Wachs, Alireza Khani, Kyeongsu Kim and Mark Hickman and has published in prestigious journals such as Transportation, Transportation Research Record Journal of the Transportation Research Board and Transportation Letters.

In The Last Decade

Elizabeth Sall

17 papers receiving 412 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elizabeth Sall United States 8 411 99 80 78 73 18 446
Danique Ton Netherlands 11 490 1.2× 136 1.4× 89 1.1× 100 1.3× 63 0.9× 22 572
Jeffrey M. Casello Canada 12 347 0.8× 101 1.0× 60 0.8× 85 1.1× 44 0.6× 37 458
Jingxian Wu China 12 343 0.8× 123 1.2× 26 0.3× 115 1.5× 100 1.4× 22 459
Topher Lawton United States 7 469 1.1× 158 1.6× 62 0.8× 123 1.6× 38 0.5× 10 501
Álvaro Fernández-Heredia Spain 7 312 0.8× 54 0.5× 51 0.6× 48 0.6× 76 1.0× 7 362
Min-Tang Li United States 10 445 1.1× 70 0.7× 75 0.9× 179 2.3× 44 0.6× 13 473
Lieve Creemers Belgium 7 281 0.7× 63 0.6× 49 0.6× 43 0.6× 47 0.6× 11 354
Vincent Chakour Canada 7 321 0.8× 100 1.0× 52 0.7× 72 0.9× 65 0.9× 10 367
Rajesh Paleti United States 13 262 0.6× 111 1.1× 58 0.7× 66 0.8× 63 0.9× 27 340
Yingheng Zhang China 10 190 0.5× 75 0.8× 38 0.5× 85 1.1× 119 1.6× 21 341

Countries citing papers authored by Elizabeth Sall

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth Sall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elizabeth Sall

This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth Sall. A scholar is included among the top collaborators of Elizabeth Sall 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 Elizabeth Sall. Elizabeth Sall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Erhardt, Gregory D., Mei Chen, Reginald R. Souleyrette, et al.. (2020). Traffic Forecasting Accuracy Assessment Research. Transportation Research Board eBooks. 10 indexed citations
2.
Sall, Elizabeth, et al.. (2017). Dynamic Passenger Assignment Challenges. Transportation Research Board 96th Annual MeetingTransportation Research Board. 1 indexed citations
3.
Sall, Elizabeth, et al.. (2014). Preventing Carmageddon in San Francisco's Rapidly Densifying Core. Transportation Research Board 93rd Annual MeetingTransportation Research Board.
4.
Nassir, Neema, et al.. (2014). Choice Set Generation Algorithm Suitable for Measuring Route Choice Accessibility. Transportation Research Record Journal of the Transportation Research Board. 2430(1). 170–181. 19 indexed citations
5.
Khani, Alireza, et al.. (2013). Integration of the FAST-TrIPs Person-Based Dynamic Transit Assignment Model, the SF-CHAMP Regional, Activity-Based Travel Demand Model, and San Francisco’s Citywide Dynamic Traffic Assignment Model. Transportation Research Board 92nd Annual MeetingTransportation Research Board. 4 indexed citations
6.
Sall, Elizabeth, et al.. (2013). Incorporating user based perspective of livability projects in SF-CHAMP mode choice models. Transportation Letters. 5(2). 83–95. 5 indexed citations
7.
Sall, Elizabeth, et al.. (2012). Incorporating crowding into the San Francisco activity-based travel model. Transportation. 39(4). 755–771. 13 indexed citations
8.
Sall, Elizabeth, et al.. (2012). Inclusion of Regional Transit Emissions in Local Greenhouse Gas Inventories. Transportation Research Record Journal of the Transportation Research Board. 2270(1). 142–151. 1 indexed citations
9.
Sall, Elizabeth, et al.. (2012). Achieving Goals of San Francisco, California, for Greenhouse Gas Reductions in Transportation Sector. Transportation Research Record Journal of the Transportation Research Board. 2287(1). 89–97. 5 indexed citations
10.
Sall, Elizabeth, et al.. (2012). Activity-Based Travel Models and Transportation Equity Analysis. Transportation Research Record Journal of the Transportation Research Board. 2320(1). 18–27. 29 indexed citations
11.
Sall, Elizabeth, et al.. (2012). Trip Rates and Accessibility: Gleaning Basic Planning Information from Activity-Based Travel Demand Model. Transportation Research Record Journal of the Transportation Research Board. 2303(1). 81–88. 3 indexed citations
12.
Sall, Elizabeth, et al.. (2011). Exploring Parking Pricing for Congestion Management Using the SFCTA Activity-Based Regional Pricing Model. Transportation Research Board 90th Annual MeetingTransportation Research Board. 3 indexed citations
13.
Charlton, William, et al.. (2011). Bicycle Route Choice Data Collection using GPS-Enabled Smartphones. Transportation Research Board 90th Annual MeetingTransportation Research Board. 13 indexed citations
14.
Francisco, San, et al.. (2011). COMPLETING THE CYCLE: INCORPORATING CYCLETRACKS INTO SF-CHAMP. 6 indexed citations
15.
Sall, Elizabeth, et al.. (2011). A GPS-based bicycle route choice model for San Francisco, California. Transportation Letters. 3(1). 63–75. 300 indexed citations
16.
Sall, Elizabeth, James E. Hicks, & William Charlton. (2010). Regional Dynamic Traffic Assignment for Real World Travel Demand Models--Trying It Out in San Francisco. Transportation Research Board 89th Annual MeetingTransportation Research Board. 3 indexed citations
17.
Sall, Elizabeth, et al.. (2010). Evaluating Regional Pricing Strategies in San Francisco--Application of the SFCTA Activity-Based Regional Pricing Model. UKnowledge (University of Kentucky). 11 indexed citations
18.
Sall, Elizabeth & Chandra R. Bhat. (2006). An Analysis of Weekend Work Activity Patterns in the San Francisco Bay Area. Transportation. 34(2). 161–175. 20 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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