Andrew T. Ching

2.0k total citations
55 papers, 1.2k citations indexed

About

Andrew T. Ching is a scholar working on Marketing, Economics and Econometrics and Management Science and Operations Research. According to data from OpenAlex, Andrew T. Ching has authored 55 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Marketing, 30 papers in Economics and Econometrics and 14 papers in Management Science and Operations Research. Recurrent topics in Andrew T. Ching's work include Consumer Market Behavior and Pricing (36 papers), Pharmaceutical Economics and Policy (12 papers) and Innovation Diffusion and Forecasting (11 papers). Andrew T. Ching is often cited by papers focused on Consumer Market Behavior and Pricing (36 papers), Pharmaceutical Economics and Policy (12 papers) and Innovation Diffusion and Forecasting (11 papers). Andrew T. Ching collaborates with scholars based in United States, Canada and United Kingdom. Andrew T. Ching's co-authors include Masakazu Ishihara, Fumiko Hayashi, Michael P. Keane, Tülin Erdem, Neelam Jain, Susumu Imai, Matthew Osborne, Douglas Hyatt, Trevor van Mierlo and Hui Wang and has published in prestigious journals such as Journal of Marketing, Econometrica and Management Science.

In The Last Decade

Andrew T. Ching

53 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Andrew T. Ching United States 20 688 566 320 245 144 55 1.2k
Gregory S. Crawford United States 18 509 0.7× 584 1.0× 350 1.1× 195 0.8× 52 0.4× 45 1.1k
Sara Fisher Ellison United States 14 299 0.4× 559 1.0× 212 0.7× 149 0.6× 83 0.6× 26 915
Füsun F. Gönül United States 12 666 1.0× 448 0.8× 118 0.4× 174 0.7× 191 1.3× 28 1.0k
Elisabeth Honka United States 12 549 0.8× 319 0.6× 233 0.7× 160 0.7× 68 0.5× 27 819
Fiona M. Scott Morton United States 16 253 0.4× 865 1.5× 299 0.9× 107 0.4× 158 1.1× 54 1.3k
Ramarao Desiraju United States 15 561 0.8× 315 0.6× 343 1.1× 273 1.1× 128 0.9× 24 1.0k
Natalie Mizik United States 18 685 1.0× 431 0.8× 971 3.0× 212 0.9× 111 0.8× 35 2.4k
Douglas Bowman United States 14 1.1k 1.6× 233 0.4× 428 1.3× 221 0.9× 24 0.2× 24 1.7k
Robert Clark Canada 17 357 0.5× 512 0.9× 173 0.5× 160 0.7× 23 0.2× 65 939
Paul B. Ellickson United States 17 728 1.1× 710 1.3× 213 0.7× 165 0.7× 10 0.1× 39 1.1k

Countries citing papers authored by Andrew T. Ching

Since Specialization
Citations

This map shows the geographic impact of Andrew T. Ching'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 Andrew T. Ching with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew T. Ching more than expected).

Fields of papers citing papers by Andrew T. Ching

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew T. Ching. 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 Andrew T. Ching. The network helps show where Andrew T. Ching may publish in the future.

Co-authorship network of co-authors of Andrew T. Ching

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

All Works

20 of 20 papers shown
1.
Ching, Andrew T., et al.. (2025). Estimating Position and Social Influence Effects in Online Search. Marketing Science. 45(1). 203–223.
2.
Ching, Andrew T., et al.. (2024). Consumption Responses to an Unpopular Policy: Evidence from a Short-Lived Soda Tax. Marketing Science. 43(6). 1204–1225. 1 indexed citations
3.
Ching, Andrew T., et al.. (2023). Does Bad Medical News Reduce Preferences for Generic Drugs?. Journal of Marketing. 88(1). 160–178. 3 indexed citations
4.
Ching, Andrew T., et al.. (2023). How Does a Firm Adapt in a Changing World? The Case of Prosper Marketplace. Marketing Science. 43(3). 673–693. 1 indexed citations
5.
Ching, Andrew T., et al.. (2023). A Heuristic Approach to Explore: The Value of Perfect Information. Management Science. 70(5). 3200–3224. 2 indexed citations
6.
Hu, Mantian, et al.. (2023). Heterogeneous Complementarity and Team Design: The Case of Real Estate Agents. SSRN Electronic Journal. 1 indexed citations
7.
Ching, Andrew T. & Matthew Osborne. (2020). Identification and Estimation of Forward-Looking Behavior: The Case of Consumer Stockpiling. Marketing Science. 39(4). 707–726. 30 indexed citations
8.
Ching, Andrew T., et al.. (2020). A Structural Model of Correlated Learning and Late-Mover Advantages: The Case of Statins. Management Science. 66(3). 1095–1123. 19 indexed citations
9.
Ishihara, Masakazu & Andrew T. Ching. (2019). Dynamic Demand for New and Used Durable Goods Without Physical Depreciation: The Case of Japanese Video Games. Marketing Science. 38(3). 392–416. 41 indexed citations
10.
Ching, Andrew T. & Masakazu Ishihara. (2018). Identification of Dynamic Models of Rewards Programme. Japanese Economic Review. 69(3). 306–323. 4 indexed citations
11.
Mierlo, Trevor van, et al.. (2017). Demographic and Indication-Specific Characteristics Have Limited Association With Social Network Engagement: Evidence From 24,954 Members of Four Health Care Support Groups. Journal of Medical Internet Research. 19(2). e40–e40. 11 indexed citations
12.
Mierlo, Trevor van, Douglas Hyatt, Andrew T. Ching, Rachel Fournier, & Ron S. Dembo. (2016). Behavioral Economics, Wearable Devices, and Cooperative Games: Results From a Population-Based Intervention to Increase Physical Activity. JMIR Serious Games. 4(1). e1–e1. 19 indexed citations
13.
Mierlo, Trevor van, Douglas Hyatt, & Andrew T. Ching. (2016). Employing the Gini coefficient to measure participation inequality in treatment-focused Digital Health Social Networks. Network Modeling Analysis in Health Informatics and Bioinformatics. 5(1). 32–32. 26 indexed citations
14.
Mierlo, Trevor van, Douglas Hyatt, & Andrew T. Ching. (2015). Mapping Power Law Distributions in Digital Health Social Networks: Methods, Interpretations, and Practical Implications. Journal of Medical Internet Research. 17(6). e160–e160. 18 indexed citations
15.
Mierlo, Trevor van, Douglas Hyatt, Andrew T. Ching, Rachel Fournier, & Ron S. Dembo. (2015). Wearables, Gamified Group Challenges and Behavioral Incentives: A Preliminary Study of an Engagement Program to Increase Physical Activity. Iproceedings. 1(1). e1–e1. 1 indexed citations
16.
Ching, Andrew T., Tülin Erdem, & Michael P. Keane. (2013). Learning Models: An Assessment of Progress, Challenges and New Developments. RePEc: Research Papers in Economics. 1 indexed citations
17.
Ching, Andrew T. & Masakazu Ishihara. (2012). Identification of Dynamic Models of Rewards Program. SSRN Electronic Journal. 2 indexed citations
18.
Ching, Andrew T. & Masakazu Ishihara. (2007). The Effects of Detailing on Prescribing Decisions under Two-Sided Learning. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 4 indexed citations
19.
Wittink, Dick R., Andrew T. Ching, Xiaojing Dong, et al.. (2005). Understanding Firm, Physician and Consumer Choice Behavior in the Health Care Industry. 16. 293–308. 1 indexed citations
20.
Ching, Andrew T.. (2004). Some Observations in the U.S. Prescription Drug Market after Patent Expiration During the 80s. SSRN Electronic Journal. 8 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.

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