Transcendental Logarithmic Utility Functions
Impact in
- Marketing 249
Classified as
- Journal
- American Economic Review
In The Last Decade
doi.org/w7647647 →Countries where authors are citing Transcendental Logarithmic Utility Functions
This map shows the geographic impact of Transcendental Logarithmic Utility Functions. 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 Transcendental Logarithmic Utility Functions with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Transcendental Logarithmic Utility Functions more than expected).
Fields of papers citing Transcendental Logarithmic Utility Functions
This network shows the impact of Transcendental Logarithmic Utility Functions. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Transcendental Logarithmic Utility Functions.
About Transcendental Logarithmic Utility Functions
This paper, published in 1975, received 740 indexed citations . Written by Dale W. Jorgenson, Laurits R. Christensen and Lawrence J. Lau covering the research area of Applied Mathematics and Modeling and Simulation. It is primarily cited by scholars working on Economics and Econometrics (627 citations), Marketing (249 citations), General Economics, Econometrics and Finance (137 citations), Gender Studies (107 citations) and Renewable Energy, Sustainability and the Environment (85 citations). Published in American Economic Review.
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.
This paper is also available at doi.org/w7647647.