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.
Hybrid Choice Models: Progress and Challenges
2002541 citationsMoshe Ben‐Akiva, Daniel McFadden et al.Marketing Lettersprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Denis Bolduc'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 Denis Bolduc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Denis Bolduc more than expected).
This network shows the impact of papers produced by Denis Bolduc. 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 Denis Bolduc. The network helps show where Denis Bolduc may publish in the future.
Co-authorship network of co-authors of Denis Bolduc
This figure shows the co-authorship network connecting the top 25 collaborators of Denis Bolduc.
A scholar is included among the top collaborators of Denis Bolduc 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 Denis Bolduc. Denis Bolduc is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bolduc, Denis, et al.. (2012). The Multiple Discrete-Continuous Extreme Value Model (MDCEV) with fixed costs. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich).1 indexed citations
Raveau, Sebastián, Ricardo Álvarez-Daziano, María Francisca Yáñez, Denis Bolduc, & Juan de Dios Ortúzar. (2010). Sequential and Simultaneous Estimation of Hybrid Discrete Choice Models. Transportation Research Record Journal of the Transportation Research Board. 2156(1). 131–139.128 indexed citations
9.
Bolduc, Denis & Ricardo Álvarez-Daziano. (2010). On estimation of hybrid choice models.13 indexed citations
10.
Bierlaire, Michel, et al.. (2006). The estimation of generalized extreme value models from choice-based samples. RePEc: Research Papers in Economics.8 indexed citations
11.
Ben‐Akiva, Moshe, Daniel McFadden, Kenneth Train, et al.. (2002). Hybrid Choice Models: Progress and Challenges. Marketing Letters. 13(3). 163–175.541 indexed citations breakdown →
Horowitz, Joël L., Michael P. Keane, Denis Bolduc, et al.. (1994). Advances in Random Utility Models. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich).3 indexed citations
Ben‐Akiva, Moshe, Denis Bolduc, & Mark Bradley. (1993). Estimation of Travel Choice Models with Randomly Distributed Values of Time. Transportation Research Record Journal of the Transportation Research Board. 88–97.76 indexed citations
19.
Bolduc, Denis, et al.. (1990). From Correlation to Distributed Contiguities: a Family of Ar-C-D Autocorrelation Processes. RePEc: Research Papers in Economics.2 indexed citations
20.
Ben‐Akiva, Moshe & Denis Bolduc. (1987). APPROACHES TO MODEL TRANSFERABILITY AND UPDATING: THE COMBINED TRANSFER ESTIMATOR. Transportation Research Record Journal of the Transportation Research Board.26 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.