Countries citing papers authored by John E. Abraham
Since
Specialization
Citations
This map shows the geographic impact of John E. Abraham'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 John E. Abraham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John E. Abraham more than expected).
This network shows the impact of papers produced by John E. Abraham. 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 John E. Abraham. The network helps show where John E. Abraham may publish in the future.
Co-authorship network of co-authors of John E. Abraham
This figure shows the co-authorship network connecting the top 25 collaborators of John E. Abraham.
A scholar is included among the top collaborators of John E. Abraham 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 John E. Abraham. John E. Abraham is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hunt, John Douglas, et al.. (2017). Impact of Transit Fare Increase in Caracas, Venezuela: Analysis Using PECAS Model. Transportation Research Board 96th Annual MeetingTransportation Research Board.1 indexed citations
4.
Abraham, John E., Kevin Stefan, & John Douglas Hunt. (2012). Population Synthesis Using Combinatorial Optimization at Multiple Levels. Transportation Research Board 91st Annual MeetingTransportation Research Board.22 indexed citations
5.
Rodier, Caroline, et al.. (2009). Equity Analysis of Land Use and Transport Plans Using an Integrated Spatial Model. eScholarship (California Digital Library).17 indexed citations
6.
Gao, Shengyi, Yang Wang, Michael McCoy, et al.. (2009). DEVELOPING CALIFORNIA INTEGRATED LAND USE/TRANSPORTATION MODEL. eScholarship (California Digital Library).4 indexed citations
7.
Hunt, John Douglas, et al.. (2008). Developing and Applying a Parcel-Level Simulation of Developer Actions in Baltimore. Transportation Research Board 87th Annual MeetingTransportation Research Board.7 indexed citations
8.
Freedman, Joel, et al.. (2007). A Summary of the Oregon TLUMIP Model Microsimulation Modules. Transportation Research Board 86th Annual MeetingTransportation Research Board.3 indexed citations
9.
Hunt, John Douglas, Ming Zhong, & John E. Abraham. (2007). Examining Accuracy of Logit Modeling with Simulated RP and SP Data. 11th World Conference on Transport ResearchWorld Conference on Transport Research Society.2 indexed citations
Hunt, John Douglas, et al.. (2006). Using Input-Output Tables and Social Accounting Matrices in Development of Land Use-Transport Interaction Models. Transportation Research Board 85th Annual MeetingTransportation Research Board.1 indexed citations
Johnston, Robert A., et al.. (2001). APPLYING AN INTEGRATED MODEL TO THE EVALUATION OF TRAVEL DEMAND MANAGEMENT POLICIES IN THE SACRAMENTO REGION: YEAR TWO.14 indexed citations
15.
Johnston, Robert A., et al.. (2001). Applying an Integrated Model to the Evaluation of Travel Demand Management Policies in the Sacramento Region.6 indexed citations
Abraham, John E.. (1999). CARSHARING: A SURVEY OF PREFERENCES. World Transport Policy and Practice. 5(3).3 indexed citations
18.
Abraham, John E., et al.. (1994). STATED PREFERENCE INVESTIGATION OF INFLUENCES ON ATTRACTIVENESS OF RESIDENTIAL LOCATIONS. Transportation Research Record Journal of the Transportation Research Board.50 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.