Galit Shmueli

11.7k total citations · 3 hit papers
141 papers, 7.8k citations indexed

About

Galit Shmueli is a scholar working on Management Science and Operations Research, Artificial Intelligence and Marketing. According to data from OpenAlex, Galit Shmueli has authored 141 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Management Science and Operations Research, 42 papers in Artificial Intelligence and 40 papers in Marketing. Recurrent topics in Galit Shmueli's work include Consumer Market Behavior and Pricing (38 papers), Auction Theory and Applications (33 papers) and Statistical Methods and Bayesian Inference (17 papers). Galit Shmueli is often cited by papers focused on Consumer Market Behavior and Pricing (38 papers), Auction Theory and Applications (33 papers) and Statistical Methods and Bayesian Inference (17 papers). Galit Shmueli collaborates with scholars based in Taiwan, United States and India. Galit Shmueli's co-authors include Marko Sarstedt, Jun‐Hwa Cheah, Christian M. Ringle, Hiram Ting, Joseph F. Hair, Santha Vaithilingam, Soumya Ray, Suneel Babu Chatla, Henry C. Lucas and Mingfeng Lin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Technometrics.

In The Last Decade

Galit Shmueli

132 papers receiving 7.4k citations

Hit Papers

Predictive model assessment in PLS-SEM: guidel... 2013 2026 2017 2021 2019 2016 2013 500 1000 1.5k 2.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Predictive model assessment in PLS-SEM: guidelines for using PLSpredict
    2019 2.4k citations Galit Shmueli, Marko Sarstedt et al. European Journal of Marketing profile →
  2. The elephant in the room: Predictive performance of PLS models
    2016 1.1k citations Galit Shmueli, Soumya Ray et al. profile →
  3. Research Commentary—Too Big to Fail: Large Samples and the p-Value Problem
    2013 726 citations Galit Shmueli et al. profile →

Peers

Galit Shmueli
Eric T. Bradlow United States
George A. Marcoulides United States
Wayne S. DeSarbo United States
Theo K. Dijkstra Netherlands
Dirk Van den Poel Belgium
Michel Tenenhaus France
Vincenzo Esposito Vinzi France
Wagner A. Kamakura United States
Robin M. Hogarth Spain
Philip Hans Franses Netherlands
Eric T. Bradlow United States
Galit Shmueli
Citations per year, relative to Galit Shmueli Galit Shmueli (= 1×) peers Eric T. Bradlow

Countries citing papers authored by Galit Shmueli

Since Specialization
Citations

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

Fields of papers citing papers by Galit Shmueli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Galit Shmueli

This figure shows the co-authorship network connecting the top 25 collaborators of Galit Shmueli. A scholar is included among the top collaborators of Galit Shmueli 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 Galit Shmueli. Galit Shmueli 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.
Goethals, Sofie, et al.. (2025). Monetization could corrupt algorithmic explanations. AI & Society. 40(8). 6291–6308.
2.
3.
Phoa, Frederick Kin Hing, et al.. (2023). An Interactive Clustering-Based Visualization Tool for Air Quality Data Analysis. Aerosol and Air Quality Research. 23(12). 230124–230124.
4.
Shmueli, Galit, et al.. (2023). Taking the Person Seriously: Ethically Aware IS Research in the Era of Reinforcement Learning-Based Personalization. Journal of the Association for Information Systems. 24(6). 1527–1561. 8 indexed citations
5.
Dhurandhar, Amit, et al.. (2022). Atomist or holist? A diagnosis and vision for more productive interdisciplinary AI ethics dialogue. Patterns. 4(1). 100652–100652. 4 indexed citations
6.
Sharma, Pratyush Nidhi, et al.. (2019). PLS-Based Model Selection: The Role of Alternative Explanations in Information Systems Research. Journal of the Association for Information Systems. 20(4). 346–397. 81 indexed citations
7.
Shmueli, Galit, Marko Sarstedt, Joseph F. Hair, et al.. (2019). Predictive model assessment in PLS-SEM: guidelines for using PLSpredict. European Journal of Marketing. 53(11). 2322–2347. 2378 indexed citations breakdown →
8.
Shmueli, Galit, et al.. (2019). Adjusting to the GDPR: The Impact on Data Scientists and Behavioral Researchers. Big Data. 7(3). 140–162. 21 indexed citations
9.
Sharma, Pratyush Nidhi, Galit Shmueli, Marko Sarstedt, Nicholas P. Danks, & Soumya Ray. (2018). Prediction‐Oriented Model Selection in Partial Least Squares Path Modeling. Decision Sciences. 52(3). 567–607. 191 indexed citations
10.
Shmueli, Galit. (2017). Research Dilemmas with Behavioral Big Data. Big Data. 5(2). 98–119. 18 indexed citations
11.
Chatla, Suneel Babu & Galit Shmueli. (2017). An Extensive Examination of Regression Models with a Binary Outcome Variable. Journal of the Association for Information Systems. 18(4). 340–371. 20 indexed citations
12.
Bapna, Ravi, Jui Ramaprasad, Galit Shmueli, & Akhmed Umyarov. (2015). One-Way Mirrors in Online Dating: A Randomized Field Experiment. SSRN Electronic Journal. 4 indexed citations
13.
Kenett, Ron S. & Galit Shmueli. (2015). A special issue on: Actual impact and future perspectives on stochastic modelling in business and industry. Applied Stochastic Models in Business and Industry. 31(1). 1–2. 2 indexed citations
14.
Agarwal, Ritu, Ravi Bapna, Khim Yong Goh, et al.. (2014). Does growing demand for data science create new opportunities for information systems. Journal of the Association for Information Systems. 2 indexed citations
15.
Bapna, Ravi, Jui Ramaprasad, Galit Shmueli, & Akhmed Umyarov. (2013). One-Way Mirrors and Weak-Signaling in Online Dating: A Randomized Field Experiment. Digital Eprints Services at ISB (DESI) (Indian School of Business). 2748–2762. 14 indexed citations
16.
Shmueli, Galit & Howard Burkom. (2011). Statistical challenges facing early outbreak detection in biosurveillance. Quality Engineering. 56(1). 139–140. 3 indexed citations
17.
Boatwright, Peter, Joseph B. Kadane, Joseph C. Nunes, & Galit Shmueli. (2007). The Effect of Product Assortment Changes on Customer Retention. SSRN Electronic Journal. 5 indexed citations
18.
Yahav, Inbal & Galit Shmueli. (2007). An Elegant Method for Generating Multivariate Poisson Data. arXiv (Cornell University). 1 indexed citations
19.
Shmueli, Galit & Ayala Cohen. (2003). Run-Length Distribution for Control Charts with Runs and Scans Rules. Communication in Statistics- Theory and Methods. 32(2). 475–495. 46 indexed citations
20.
Shmueli, Galit & Ayala Cohen. (1999). Analysis and Display of Hierarchical Life-Time Data. The American Statistician. 53(2). 140–146. 1 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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