Nobuhiko Terui

623 total citations
26 papers, 417 citations indexed

About

Nobuhiko Terui is a scholar working on Marketing, Economics and Econometrics and Management Science and Operations Research. According to data from OpenAlex, Nobuhiko Terui has authored 26 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Marketing, 13 papers in Economics and Econometrics and 7 papers in Management Science and Operations Research. Recurrent topics in Nobuhiko Terui's work include Consumer Market Behavior and Pricing (15 papers), Economic and Environmental Valuation (7 papers) and Economics of Agriculture and Food Markets (5 papers). Nobuhiko Terui is often cited by papers focused on Consumer Market Behavior and Pricing (15 papers), Economic and Environmental Valuation (7 papers) and Economics of Agriculture and Food Markets (5 papers). Nobuhiko Terui collaborates with scholars based in Japan, United States and Netherlands. Nobuhiko Terui's co-authors include Herman K. van Dijk, John Geweke, Greg M. Allenby, Wirawan Dony Dahana, Takeaki Kariya, Yuzo Hosoya and Makoto Abe and has published in prestigious journals such as Journal of Marketing Research, Marketing Science and International Journal of Forecasting.

In The Last Decade

Nobuhiko Terui

23 papers receiving 382 citations

Peers

Countries citing papers authored by Nobuhiko Terui

Since Specialization

Citations

This map shows the geographic impact of Nobuhiko Terui'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 Nobuhiko Terui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nobuhiko Terui more than expected).

Fields of papers citing papers by Nobuhiko Terui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nobuhiko Terui. 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 Nobuhiko Terui. The network helps show where Nobuhiko Terui may publish in the future.

Co-authorship network of co-authors of Nobuhiko Terui

This figure shows the co-authorship network connecting the top 25 collaborators of Nobuhiko Terui. A scholar is included among the top collaborators of Nobuhiko Terui 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 Nobuhiko Terui. Nobuhiko Terui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Social media effects on multi-generational diffusion of information technology products 2025 ·Electronic Commerce Research ·(unknown), Nobuhiko Terui	1
2	Embedding Marketing Environment with Customer Heterogeneity for Store-Level Scanner Data 2023 ·SN Computer Science ·(unknown), Nobuhiko Terui	0
3	Modeling Customer Satisfaction’s Impact on Loyalty: Insights for Customer-Centric Resource Allocation 2023 ·Service Science ·(unknown), (unknown), Nobuhiko Terui	0
4	Product Embedding for Large-Scale Disaggregated Sales Data 2021 ·(unknown), Nobuhiko Terui	1
5	Characterization of topic-based online communities by combining network data and user generated content 2020 ·Statistics and Computing ·(unknown), Nobuhiko Terui	1
6	Measuring large‐scale market responses and forecasting aggregated sales: Regression for sparse high‐dimensional data 2019 ·Journal of Forecasting ·Nobuhiko Terui, (unknown)	5
7	Personalized market response analysis for a wide variety of products from sparse transaction data 2018 ·International Journal of Data Science and Analytics ·(unknown), Nobuhiko Terui, (unknown), Greg M. Allenby	7
8	Multivariate Time Series Model with Hierarchical Structure for Over‐Dispersed Discrete Outcomes 2014 ·Journal of Forecasting ·Nobuhiko Terui, (unknown)	4
9	Dynamic Brand Satiation 2012 ·Journal of Marketing Research ·(unknown), Nobuhiko Terui, Greg M. Allenby	14
10	A brand choice model for TV advertising management using single-source data 2010 ·Marketing Letters ·(unknown), Nobuhiko Terui, Makoto Abe	4
11	The Effect of Media Advertising on Brand Consideration and Choice 2010 ·Marketing Science ·Nobuhiko Terui, (unknown), Greg M. Allenby	52
12	Modeling heterogeneous effective advertising stock using single-source data 2008 ·Quantitative Marketing and Economics ·Nobuhiko Terui, (unknown)	6
13	Price customization using price thresholds estimated from scanner panel data 2006 ·Journal of Interactive Marketing ·Nobuhiko Terui, Wirawan Dony Dahana	14
14	Research Note—Estimating Heterogeneous Price Thresholds 2006 ·Marketing Science ·Nobuhiko Terui, Wirawan Dony Dahana	29
15	Forecasting model with asymmetric market response and its application to pricing of consumer package goods 2005 ·Applied Stochastic Models in Business and Industry ·Nobuhiko Terui, (unknown)	2
16	Measuring delayed and long‐term effects of pricing decisions on market share 2004 ·Marketing Intelligence & Planning ·Nobuhiko Terui	1
17	Forecasting dynamic market share relationships 2000 ·Marketing Intelligence & Planning ·Nobuhiko Terui	3
18	1997 ·Nobuhiko Terui, Takeaki Kariya	9
19	BAYESIAN THRESHOLD AUTOREGRESSIVE MODELS FOR NONLINEAR TIME SERIES 1993 ·Journal of Time Series Analysis ·John Geweke, Nobuhiko Terui	78
20	An F-type small sample simultaneous test for nested linear regression models 1990 ·Communication in Statistics- Theory and Methods ·Nobuhiko Terui	1

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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