Peter Vovsha

2.2k total citations
68 papers, 1.6k citations indexed

About

Peter Vovsha is a scholar working on Transportation, Automotive Engineering and Building and Construction. According to data from OpenAlex, Peter Vovsha has authored 68 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Transportation, 36 papers in Automotive Engineering and 12 papers in Building and Construction. Recurrent topics in Peter Vovsha's work include Transportation Planning and Optimization (61 papers), Urban Transport and Accessibility (52 papers) and Transportation and Mobility Innovations (35 papers). Peter Vovsha is often cited by papers focused on Transportation Planning and Optimization (61 papers), Urban Transport and Accessibility (52 papers) and Transportation and Mobility Innovations (35 papers). Peter Vovsha collaborates with scholars based in United States, Israel and United Kingdom. Peter Vovsha's co-authors include Eric Petersen, Robert Donnelly, Mark Bradley, Shlomo Bekhor, Joel Freedman, Jean Wolf, William Davidson, Joe Castiglione, Rajesh Paleti and Hani S. Mahmassani and has published in prestigious journals such as Transportation Research Part A Policy and Practice, Transportation and Transportation Research Record Journal of the Transportation Research Board.

In The Last Decade

Peter Vovsha

66 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Vovsha United States 21 1.4k 606 450 239 121 68 1.6k
Sebastián Raveau Chile 16 931 0.6× 319 0.5× 315 0.7× 227 0.9× 81 0.7× 44 1.2k
Jeppe Rich Denmark 22 707 0.5× 671 1.1× 172 0.4× 263 1.1× 131 1.1× 68 1.3k
Ramin Shabanpour United States 18 940 0.7× 566 0.9× 193 0.4× 183 0.8× 75 0.6× 40 1.5k
Sascha Hoogendoorn-Lanser Netherlands 20 1.4k 1.0× 778 1.3× 227 0.5× 314 1.3× 158 1.3× 63 1.6k
Borja Alonso Spain 18 770 0.5× 366 0.6× 142 0.3× 342 1.4× 153 1.3× 51 1.2k
Joshua Auld United States 25 1.2k 0.8× 798 1.3× 137 0.3× 263 1.1× 214 1.8× 97 1.6k
Eric I. Pas United States 19 1.2k 0.8× 362 0.6× 242 0.5× 182 0.8× 57 0.5× 40 1.5k
John Bates United Kingdom 11 842 0.6× 184 0.3× 307 0.7× 232 1.0× 145 1.2× 29 945
Michael G H Bell United Kingdom 17 927 0.6× 428 0.7× 93 0.2× 239 1.0× 218 1.8× 46 1.2k
Zhicai Juan China 16 721 0.5× 176 0.3× 89 0.2× 295 1.2× 102 0.8× 68 1.0k

Countries citing papers authored by Peter Vovsha

Since Specialization
Citations

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

Fields of papers citing papers by Peter Vovsha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Vovsha

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Vovsha. A scholar is included among the top collaborators of Peter Vovsha 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 Peter Vovsha. Peter Vovsha 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.
You, Daehyun, et al.. (2021). Activity-Based Model Application for Business Reopening Scenarios after COVID-19. 3 indexed citations
2.
Vovsha, Peter, et al.. (2018). Integrated Model of Travel Demand and Network Simulation. Transportation Research Board 97th Annual MeetingTransportation Research Board. 2 indexed citations
3.
Vovsha, Peter, et al.. (2017). Combinatorial tour mode choice. Transportation Research Board 96th Annual MeetingTransportation Research Board. 4 indexed citations
4.
Vovsha, Peter, et al.. (2015). Allocation of Individual Non-Mandatory Activities to Day Segments in the Tour Formation Procedure: Application to the Activity-Based Models for Jerusalem, Israel and Phoenix, AZ. 3 indexed citations
5.
Vovsha, Peter, et al.. (2015). Generation of Mandatory Activities and Formation of Mandatory Tours: Application to the Activity-Based Model for Phoenix, AZ. Transportation Research Board 94th Annual MeetingTransportation Research Board. 4 indexed citations
6.
Paleti, Rajesh, et al.. (2015). Development of Time Varying Accessibility Measures: Application to the Activity-Based Model for Southern California Region. Transportation Research Board 94th Annual MeetingTransportation Research Board. 3 indexed citations
7.
Paleti, Rajesh, et al.. (2015). Impact of Individual Daily Travel Pattern on Value of Time. Transportation Research Board 94th Annual MeetingTransportation Research Board. 1 indexed citations
8.
Vovsha, Peter, et al.. (2014). Statistical Analysis of Transit User Preferences Including In-Vehicle Crowding and Service Reliability. Transportation Research Board 93rd Annual MeetingTransportation Research Board. 12 indexed citations
9.
Wolf, Jean, et al.. (2014). Applying GPS Data to Understand Travel Behavior, Volume II: Guidelines. Transportation Research Board eBooks. 18 indexed citations
10.
Vovsha, Peter, et al.. (2013). Incorporating Cycling in Ottawa-Gatineau Travel Forecasting Model. 1 indexed citations
11.
You, Daehyun, et al.. (2013). Multiple Discrete-Continuous Model of Activity Type Choice and Time Allocation for Home-Based Nonwork Tours. Transportation Research Board 92nd Annual MeetingTransportation Research Board. 5 indexed citations
12.
Vovsha, Peter, et al.. (2012). Workplace Choice Model: Comparison of Spatial Patterns of Commuting in Four Metropolitan Regions. Transportation Research Board 91st Annual MeetingTransportation Research Board. 4 indexed citations
13.
Vovsha, Peter, et al.. (2011). Impact of Capacity, Crowding, and Vehicle Arrival Adherence on Public Transport Ridership: Los Angeles and Sydney Experience and Forecasting Approach. Transport Research Forum. 34(99). 8 indexed citations
14.
Vovsha, Peter, et al.. (2011). New Advancements in Activity-Based Models. Transport Research Forum. 34(97). 6 indexed citations
15.
Zhang, Kuilin, Hani S. Mahmassani, & Peter Vovsha. (2011). Integrated Nested Logit Mode Choice and Dynamic Network Micro-assignment Model Platform to Support Congestion and Pricing Studies: The New York Metropolitan Case. Transportation Research Board 90th Annual MeetingTransportation Research Board. 3 indexed citations
16.
Davidson, William, et al.. (2010). CT-RAMP Family of Activity-Based Models. Transport Research Forum. 33. 18 indexed citations
17.
Vovsha, Peter & Joel Freedman. (2008). What is an Activity-Based Model and how does it work?. Traffic engineering & control. 49(9). 330–335. 1 indexed citations
18.
Vovsha, Peter & David R. Schmitt. (2007). Application of the MORPC Microsimulation Model for User Benefit Evaluation of Transit Projects. Transportation Research Board 86th Annual MeetingTransportation Research Board. 1 indexed citations
19.
Vovsha, Peter & Eric Petersen. (2007). Incorporating Car-Type Preferences and Intrahousehold Car Allocation into Travel Demand Models. Transportation Research Board 86th Annual MeetingTransportation Research Board. 7 indexed citations
20.
Vovsha, Peter & Eric Petersen. (2005). Escorting Children to School. Transportation Research Record Journal of the Transportation Research Board. 1921(1). 131–140. 32 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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