Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
This map shows the geographic impact of Kenneth Train'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 Kenneth Train with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth Train more than expected).
This network shows the impact of papers produced by Kenneth Train. 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 Kenneth Train. The network helps show where Kenneth Train may publish in the future.
Co-authorship network of co-authors of Kenneth Train
This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth Train.
A scholar is included among the top collaborators of Kenneth Train 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 Kenneth Train. Kenneth Train is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Daly, Andrew, Stephane Hess, & Kenneth Train. (2011). Assuring Finite Moments for Willingness to Pay in Random Coefficient Models. Transportation Research Board 90th Annual MeetingTransportation Research Board.8 indexed citations
6.
Hess, Stephane & Kenneth Train. (2010). Approximation Issues in Simulation-Based Estimation of Random Coefficient Models. Transportation Research Board 89th Annual MeetingTransportation Research Board.1 indexed citations
Train, Kenneth & Wesley W. Wilson. (2008). Transportation Demand and Volume Sensitivity. Transportation Research Record Journal of the Transportation Research Board. 2062(1). 66–73.4 indexed citations
9.
Train, Kenneth & Daniel McFadden. (2003). THE GOODS/LEISURE TRADEOFF AND DISAGGREGATE WORK TRIP MODE CHOICE MODELS. IN: URBAN TRANSPORT. 8.1 indexed citations
10.
Ben‐Akiva, Moshe, Daniel McFadden, Kenneth Train, & Axel Börsch‐Supan. (2002). Hybrid Choice Models: Progress and Challenges. MADOC (University of Mannheim).1 indexed citations
11.
Train, Kenneth, et al.. (1999). Customer-Specific Taste Parameters and Mixed Logit.98 indexed citations
Train, Kenneth. (1985). Qualitative Choice Analysis: Theory, Econometrics, and an Application to Automobile Demand. RePEc: Research Papers in Economics. 1.106 indexed citations
16.
Train, Kenneth, et al.. (1985). A ROUTE FORECASTING METHOD FOR THE PORTLAND AREA. Research in Transportation Economics. 2.
17.
Herriges, Joseph A., Kenneth Train, & Robert J. Windle. (1985). Statistically Adjusted Engineering (Sae) Models of End Use Load Curves. Staff General Research Papers Archive.1 indexed citations
McFadden, Daniel, Kenneth Train, & William B. Tye. (1977). AN APPLICATION OF DIAGNOSTIC TESTS FOR THE INDEPENDENCE FROM IRRELEVANT ALTERNATIVES PROPERTY OF THE MULTINOMIAL LOGIT MODEL. Transportation Research Record Journal of the Transportation Research Board.168 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.