Journal of Choice Modelling

386 papers and 7.8k indexed citations i.

About

The 386 papers published in Journal of Choice Modelling in the last decades have received a total of 7.8k indexed citations. Papers published in Journal of Choice Modelling usually cover Economics and Econometrics (318 papers), Transportation (131 papers) and Marketing (113 papers) specifically the topics of Economic and Environmental Valuation (303 papers), Decision-Making and Behavioral Economics (113 papers) and Transportation Planning and Optimization (100 papers). The most active scholars publishing in Journal of Choice Modelling are Stephane Hess, Kenneth Train, Carlo Giacomo Prato, Jordan J. Louviere, David Palma, Richard T. Carson, Terry N. Flynn, Caspar Chorus, Michiel C.J. Bliemer and Sander van Cranenburgh.

In The Last Decade

Fields of papers published in Journal of Choice Modelling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Choice Modelling. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Journal of Choice Modelling.

Countries where authors publish in Journal of Choice Modelling

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Choice Modelling. 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 papers published in Journal of Choice Modelling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Journal of Choice Modelling more than expected).

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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