David Gal

1.3k total citations · 1 hit paper
7 papers, 895 citations indexed

About

David Gal is a scholar working on Marketing, Organizational Behavior and Human Resource Management and Social Psychology. According to data from OpenAlex, David Gal has authored 7 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Marketing, 2 papers in Organizational Behavior and Human Resource Management and 1 paper in Social Psychology. Recurrent topics in David Gal's work include Consumer Behavior in Brand Consumption and Identification (5 papers), Customer Service Quality and Loyalty (2 papers) and Consumer Market Behavior and Pricing (2 papers). David Gal is often cited by papers focused on Consumer Behavior in Brand Consumption and Identification (5 papers), Customer Service Quality and Loyalty (2 papers) and Consumer Market Behavior and Pricing (2 papers). David Gal collaborates with scholars based in United States, China and Canada. David Gal's co-authors include Mathew S. Isaac, Aaron R. Brough, Jingjing Ma, Alexander Chernev, Ryan Hamilton, Wendy Liu, Itamar Simonson and Blakeley B. McShane and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Marketing and Journal of Consumer Research.

In The Last Decade

David Gal

7 papers receiving 832 citations

Hit Papers

align trajectories

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.

Is Eco-Friendly Unmanly? The Green-Feminine Stereotype and Its Effect on Sustainable Consumption

2016 477 citations Aaron R. Brough, Jingjing Ma et al. Journal of Consumer Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Gal United States	6	558	352	222	95	94	7	895
Mathew S. Isaac United States	12	622 1.1×	426 1.2×	225 1.0×	105 1.1×	104 1.1×	42	1.0k
Aaron R. Brough United States	10	439 0.8×	280 0.8×	228 1.0×	43 0.5×	72 0.8×	17	771
Lynn Sudbury‐Riley United Kingdom	16	529 0.9×	227 0.6×	128 0.6×	84 0.9×	113 1.2×	40	947
Caroline Moraes United Kingdom	16	614 1.1×	362 1.0×	160 0.7×	80 0.8×	55 0.6×	31	1.0k
Isabella Soscia France	14	530 0.9×	416 1.2×	111 0.5×	184 1.9×	178 1.9×	27	882
Marie‐Cécile Cervellon France	19	989 1.8×	459 1.3×	80 0.4×	167 1.8×	99 1.1×	23	1.3k
Sigal Segev United States	14	526 0.9×	278 0.8×	203 0.9×	58 0.6×	69 0.7×	23	692
Ann Kronrod United States	15	571 1.0×	458 1.3×	221 1.0×	69 0.7×	140 1.5×	29	1.1k
Salman Majeed China	19	310 0.6×	417 1.2×	100 0.5×	102 1.1×	78 0.8×	46	900
Adilson Borges France	20	898 1.6×	353 1.0×	135 0.6×	370 3.9×	155 1.6×	45	1.3k

Countries citing papers authored by David Gal

Since Specialization

Citations

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

Fields of papers citing papers by David Gal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Gal

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Gal, David & Itamar Simonson. (2020). Predicting consumers’ choices in the age of the internet, AI, and almost perfect tracking: Some things change, the key challenges do not. 4(1). 135–152. 15 indexed citations

2.

McShane, Blakeley B. & David Gal. (2017). Rejoinder: Statistical Significance and the Dichotomization of Evidence. Journal of the American Statistical Association. 112(519). 904–908. 7 indexed citations

3.

Brough, Aaron R., et al.. (2016). Is Eco-Friendly Unmanly? The Green-Feminine Stereotype and Its Effect on Sustainable Consumption. Journal of Consumer Research. 43(4). 567–582. 477 indexed citations breakdown →

4.

Chernev, Alexander, Ryan Hamilton, & David Gal. (2011). Competing for Consumer Identity: Limits to Self-Expression and the Perils of Lifestyle Branding. Journal of Marketing. 75(3). 66–82. 262 indexed citations

5.

Liu, Wendy & David Gal. (2011). Bringing Us Together or Driving Us Apart: The Effect of Soliciting Consumer Input on Consumers’ Propensity to Transact with an Organization. Journal of Consumer Research. 38(2). 242–259. 64 indexed citations

6.

Gal, David, et al.. (2010). Real Men Don’t Eat Quiche. Social Psychological and Personality Science. 1(4). 291–301. 69 indexed citations

7.

Chernev, Alexander & David Gal. (2009). Brand Saturation in Consumer Choice. ACR North American Advances. 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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