Joseph Pancras

866 total citations
28 papers, 609 citations indexed

About

Joseph Pancras is a scholar working on Marketing, Sociology and Political Science and Information Systems and Management. According to data from OpenAlex, Joseph Pancras has authored 28 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Marketing, 8 papers in Sociology and Political Science and 8 papers in Information Systems and Management. Recurrent topics in Joseph Pancras's work include Consumer Market Behavior and Pricing (14 papers), Technology Adoption and User Behaviour (8 papers) and Digital Marketing and Social Media (8 papers). Joseph Pancras is often cited by papers focused on Consumer Market Behavior and Pricing (14 papers), Technology Adoption and User Behaviour (8 papers) and Digital Marketing and Social Media (8 papers). Joseph Pancras collaborates with scholars based in United States, China and Canada. Joseph Pancras's co-authors include V. Kumar, Mark S. George, K. Sudhir, Ramesh Shankar, Ram D. Gopal, Dinesh K. Gauri, Debabrata Talukdar, Brian T. Ratchford, Charlotte H. Mason and Lei Wang and has published in prestigious journals such as Management Science, Journal of Marketing Research and European Journal of Operational Research.

In The Last Decade

Joseph Pancras

27 papers receiving 567 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joseph Pancras United States	12	383	179	176	104	102	28	609
Sarah Maxwell United States	14	504 1.3×	183 1.0×	171 1.0×	52 0.5×	77 0.8×	24	738
Qiang Lu Australia	15	348 0.9×	162 0.9×	112 0.6×	77 0.7×	171 1.7×	31	605
Nathan M. Fong United States	11	518 1.4×	299 1.7×	93 0.5×	143 1.4×	139 1.4×	20	769
Tuck Siong Chung Singapore	7	404 1.1×	236 1.3×	248 1.4×	105 1.0×	106 1.0×	11	636
Jeonghye Choi South Korea	16	473 1.2×	418 2.3×	131 0.7×	176 1.7×	102 1.0×	59	781
Shijin Yoo South Korea	8	380 1.0×	299 1.7×	233 1.3×	101 1.0×	156 1.5×	24	652
Philipp Schmitt Germany	9	351 0.9×	442 2.5×	231 1.3×	97 0.9×	119 1.2×	17	744
Scott Neslin United States	14	710 1.9×	201 1.1×	280 1.6×	105 1.0×	91 0.9×	29	847
Hannes Datta Netherlands	7	435 1.1×	333 1.9×	97 0.6×	98 0.9×	100 1.0×	16	684
Seunghyun Kim United States	13	261 0.7×	276 1.5×	250 1.4×	80 0.8×	81 0.8×	32	645

Countries citing papers authored by Joseph Pancras

Since Specialization

Citations

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

Fields of papers citing papers by Joseph Pancras

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph Pancras

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Pancras. A scholar is included among the top collaborators of Joseph Pancras 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 Joseph Pancras. Joseph Pancras 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

Pancras, Joseph, et al.. (2022). Social and Spatiotemporal Impacts of Casino Jackpot Events. Marketing Science. 41(3). 575–592. 1 indexed citations

Shankar, Ramesh, et al.. (2022). Forecasting venue popularity on location‐based services using interpretable machine learning. Production and Operations Management. 31(7). 2773–2788. 16 indexed citations

Pancras, Joseph, et al.. (2022). “Buy Now, Pay Later” (BNPL): Optimizing Customer Targeting Decisions Using Payment Default and Product Return Option Values. SSRN Electronic Journal. 1 indexed citations

Yang, Shuai, Joseph Pancras, & Yiping Song. (2021). Broad or exact? Search Ad matching decisions with keyword specificity and position. Decision Support Systems. 143. 113491–113491. 11 indexed citations

Carlson, Jeffrey R., et al.. (2021). Social media advertising: How online motivations and congruency influence perceptions of trust. Journal of Consumer Behaviour. 21(2). 197–213. 28 indexed citations

Nguyen, Hang T., William T. Ross, Joseph Pancras, & Hieu V. Phan. (2020). Market-based drivers of cobranding success. Journal of Business Research. 115. 122–138. 12 indexed citations

Shankar, Ramesh, et al.. (2020). Impact of Gamification on Perceptions of Word-of-Mouth Contributors and Actions of Word-of-Mouth Consumers. MIS Quarterly. 44(4). 1987–2012. 34 indexed citations

Shankar, Ramesh, et al.. (2018). Impact of Gamification on Perceptions of Word-of-Mouth Contributors and Actions of Word-of-Mouth Consumers. SSRN Electronic Journal. 3 indexed citations

Lurie, Nicholas H., Jonah Berger, Zoey Chen, et al.. (2017). Everywhere and at All Times: Mobility, Consumer Decision-Making, and Choice. RePEc: Research Papers in Economics. 5(1-2). 15–27. 20 indexed citations

10.

Andrews, Michelle, et al.. (2016). Mobile Promotions: A Framework and Research Priorities. Journal of Interactive Marketing. 34(1). 15–24. 12 indexed citations

11.

Wang, Lei, Ram D. Gopal, Ramesh Shankar, & Joseph Pancras. (2015). On the brink: Predicting business failure with mobile location-based checkins. Decision Support Systems. 76. 3–13. 50 indexed citations

12.

Liu, Hongju, et al.. (2015). Managing Customer Acquisition Risk Using Co-operative Databases. Journal of Interactive Marketing. 29(1). 39–56. 6 indexed citations

13.

Pancras, Joseph, Xia Wang, & Dipak K. Dey. (2015). Investigating the impact of customer stochasticity on firm price discrimination strategies using a new Bayesian mixture scale heterogeneity model. Marketing Letters. 27(3). 537–552. 2 indexed citations

14.

Wang, Lei, Ram D. Gopal, Ramesh Sankaranarayanan, & Joseph Pancras. (2013). Checking in to check it out: An empirical analysis of customers' engagement on location based social media. 1 indexed citations

15.

Pancras, Joseph, Dinesh K. Gauri, & Debabrata Talukdar. (2013). Loss leaders and cross-category retailer pass-through: A Bayesian multilevel analysis. Journal of Retailing. 89(2). 140–157. 10 indexed citations

16.

Pancras, Joseph. (2011). The nested consideration model: Investigating dynamic store consideration sets and store competition. European Journal of Operational Research. 214(2). 340–347. 8 indexed citations

17.

Carlson, Jeffrey R., et al.. (2010). Online and Offline Advertising Media: Exploring the Antecedents to Advertising Trust. ACR North American Advances. 1 indexed citations

18.

Kumar, V., Mark S. George, & Joseph Pancras. (2008). Cross-buying in retailing: Drivers and consequences. Journal of Retailing. 84(1). 15–27. 139 indexed citations

19.

Pancras, Joseph & K. Sudhir. (2007). Optimal Marketing Strategies for a Customer Data Intermediary. Journal of Marketing Research. 44(4). 560–578. 87 indexed citations

20.

Ramaseshan, B., David Bejou, Subhash C. Jain, Charlotte H. Mason, & Joseph Pancras. (2006). Issues and Perspectives in Global Customer Relationship Management. Journal of Service Research. 9(2). 195–207. 59 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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