Countries citing papers authored by Jeffrey M. Casello
Since
Specialization
Citations
This map shows the geographic impact of Jeffrey M. Casello'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 Jeffrey M. Casello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey M. Casello more than expected).
Fields of papers citing papers by Jeffrey M. Casello
This network shows the impact of papers produced by Jeffrey M. Casello. 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 Jeffrey M. Casello. The network helps show where Jeffrey M. Casello may publish in the future.
Co-authorship network of co-authors of Jeffrey M. Casello
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey M. Casello.
A scholar is included among the top collaborators of Jeffrey M. Casello 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 Jeffrey M. Casello. Jeffrey M. Casello is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Casello, Jeffrey M., et al.. (2018). Free Transit for High School Students: Can It Lead to Independence?. Transportation Research Board 97th Annual MeetingTransportation Research Board.
Casello, Jeffrey M., et al.. (2015). Strategies To Relieve Subway Crowding: Case Study From The Toronto Context. Transportation Research Board 94th Annual MeetingTransportation Research Board.1 indexed citations
9.
Casello, Jeffrey M., et al.. (2015). Tracking the Transit Rider Experience: Using Smartphones to Measure Comfort and Well-Being Throughout the Trip. Transportation Research Board 94th Annual MeetingTransportation Research Board.3 indexed citations
10.
Casello, Jeffrey M., et al.. (2015). Developing and Optimizing a Transportation Mode Inference Model Utilizing Data from GPS Embedded Smartphones. Transportation Research Board 94th Annual MeetingTransportation Research Board. 25(9). 817–817.5 indexed citations
Casello, Jeffrey M., et al.. (2012). The Influence of Ownership and Business Models on Achieving Transit Improvements. Transportation Research Board 91st Annual MeetingTransportation Research Board.1 indexed citations
14.
Casello, Jeffrey M., et al.. (2012). An Analysis of Empirical Evidence of Cyclists’ Route Choice and Its Implications for Planning. Transportation Research Board 91st Annual MeetingTransportation Research Board.1 indexed citations
15.
Casello, Jeffrey M., et al.. (2011). Analysis of Stated-Preference and GPS Data for Bicycle Travel Forecasting. Transportation Research Board 90th Annual MeetingTransportation Research Board.6 indexed citations
16.
Casello, Jeffrey M., et al.. (2010). Development and Deployment of GIS Tools to Facilitate Transit Network Design and Operational Evaluation. Transportation Research Board 89th Annual MeetingTransportation Research Board. 23(1). 41.3 indexed citations
Casello, Jeffrey M.. (2003). Improving regional transportation system performance through increased suburban intermodalism: A user cost modeling approach. Scholarly Commons (University of Pennsylvania).3 indexed citations
20.
Vuchic, Vukan R & Jeffrey M. Casello. (2002). AN EVALUATION OF MAGLEV TECHNOLOGY AND ITS COMPARISON WITH HIGH SPEED RAIL. Transportation quarterly. 56(2). 33.49 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.