Mitchell J. Lovett

1.1k total citations · 1 hit paper
25 papers, 719 citations indexed

About

Mitchell J. Lovett is a scholar working on Marketing, Sociology and Political Science and Economics and Econometrics. According to data from OpenAlex, Mitchell J. Lovett has authored 25 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Marketing, 16 papers in Sociology and Political Science and 6 papers in Economics and Econometrics. Recurrent topics in Mitchell J. Lovett's work include Consumer Market Behavior and Pricing (12 papers), Digital Marketing and Social Media (10 papers) and Media Influence and Politics (9 papers). Mitchell J. Lovett is often cited by papers focused on Consumer Market Behavior and Pricing (12 papers), Digital Marketing and Social Media (10 papers) and Media Influence and Politics (9 papers). Mitchell J. Lovett collaborates with scholars based in United States, Israel and Canada. Mitchell J. Lovett's co-authors include Renana Peres, Ron Shachar, Richard Staelin, Michael Peress, Paul B. Ellickson, Yufeng Huang, Brett R. Gordon, Kevin Arceneaux, Akshay R. Rao and Oleg Urminsky and has published in prestigious journals such as Management Science, Journal of Marketing Research and Journal of the Academy of Marketing Science.

In The Last Decade

Mitchell J. Lovett

23 papers receiving 664 citations

Hit Papers

On Brands and Word of Mouth 2013 2026 2017 2021 2013 100 200 300
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. On Brands and Word of Mouth
    2013 330 citations Mitchell J. Lovett, Renana Peres et al. Journal of Marketing Research profile →

Peers

Mitchell J. Lovett
Kay Peters Germany
Anatoli Colicev United Kingdom
Chubing Zhang China
Christian Barrot Germany
Inwon Kang South Korea
Christian Schulze Germany
Denise J. Luethge United States
Gregor Jawecki Austria
Victor A. Barger United States
Naveen Amblee India
Kay Peters Germany
Mitchell J. Lovett
Citations per year, relative to Mitchell J. Lovett Mitchell J. Lovett (= 1×) peers Kay Peters

Countries citing papers authored by Mitchell J. Lovett

Since Specialization
Citations

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

Fields of papers citing papers by Mitchell J. Lovett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mitchell J. Lovett. 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 Mitchell J. Lovett. The network helps show where Mitchell J. Lovett may publish in the future.

Co-authorship network of co-authors of Mitchell J. Lovett

This figure shows the co-authorship network connecting the top 25 collaborators of Mitchell J. Lovett. A scholar is included among the top collaborators of Mitchell J. Lovett 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 Mitchell J. Lovett. Mitchell J. Lovett 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.
Lovett, Mitchell J., et al.. (2025). Opposing Influences of YouTube Influencers: Purchase and Usage Effects in the Video Game Industry. Marketing Science. 44(4). 894–915. 1 indexed citations
2.
Gelper, Sarah, Mitchell J. Lovett, & Renana Peres. (2024). The effect of second screening on repeat viewing: Insights from large-scale mobile diary data. Journal of the Academy of Marketing Science. 53(3). 907–930.
3.
Gordon, Brett R., et al.. (2022). Disentangling the Effects of Ad Tone on Voter Turnout and Candidate Choice in Presidential Elections. Management Science. 69(1). 220–243. 6 indexed citations
4.
Lovett, Mitchell J., et al.. (2021). Digital Marketing and Intellectual Property Rights: Leveraging Events and Influencers. SSRN Electronic Journal. 4 indexed citations
5.
Huang, Yufeng, Paul B. Ellickson, & Mitchell J. Lovett. (2021). Learning to Set Prices. Journal of Marketing Research. 59(2). 411–434. 17 indexed citations
6.
Gordon, Brett R., et al.. (2019). Disentangling the Effects of Ad Tone on Voter Turnout and Candidate Choice in Presidential Elections. SSRN Electronic Journal. 1 indexed citations
7.
Huang, Yufeng, Paul B. Ellickson, & Mitchell J. Lovett. (2018). Learning to Set Prices in the Washington State Liquor Market. SSRN Electronic Journal. 2 indexed citations
8.
Lovett, Mitchell J. & Renana Peres. (2018). Mobile diaries – Benchmark against metered measurements: An empirical investigation. International Journal of Research in Marketing. 35(2). 224–241. 8 indexed citations
9.
Ellickson, Paul B., et al.. (2017). Private Labels and Retailer Profitability: Bilateral Bargaining in the Grocery Channel. SSRN Electronic Journal. 13 indexed citations
10.
Lovett, Mitchell J. & Richard Staelin. (2016). The Role of Paid, Earned, and Owned Media in Building Entertainment Brands: Reminding, Informing, and Enhancing Enjoyment. Marketing Science. 35(1). 142–157. 95 indexed citations
11.
Lovett, Mitchell J. & Michael Peress. (2015). Targeting Political Advertising on Television. Quarterly Journal of Political Science. 10(3). 391–432. 25 indexed citations
12.
Lovett, Mitchell J., Renana Peres, & Ron Shachar. (2014). A Data Set of Brands and Their Characteristics. Marketing Science. 33(4). 609–617. 53 indexed citations
13.
Lovett, Mitchell J., Renana Peres, & Ron Shachar. (2013). On Brands and Word of Mouth. Journal of Marketing Research. 50(4). 427–444. 330 indexed citations breakdown →
14.
Belloni, Alexandre, Mitchell J. Lovett, William Boulding, & Richard Staelin. (2012). Optimal Admission and Scholarship Decisions: Choosing Customized Marketing Offers to Attract a Desirable Mix of Customers. Marketing Science. 31(4). 621–636. 8 indexed citations
15.
Lovett, Mitchell J. & Richard Staelin. (2012). The Role of Paid and Earned Media in Building Entertainment Brands: Reminding, Informing, and Enhancing Enjoyment. SSRN Electronic Journal. 5 indexed citations
16.
Peres, Renana, Ron Shachar, & Mitchell J. Lovett. (2011). On Brands and Word-of-Mouth. SSRN Electronic Journal. 23 indexed citations
17.
Gordon, Brett R., Mitchell J. Lovett, Ron Shachar, et al.. (2011). Marketing and Politics: Models, Behavior, and Policy Implications. 1 indexed citations
18.
Lovett, Mitchell J. & Ron Shachar. (2011). The Seeds of Negativity: Knowledge and Money. Marketing Science. 30(3). 430–446. 18 indexed citations
19.
Lovett, Mitchell J. & Michael Peress. (2010). Targeting Political Advertising on Television. SSRN Electronic Journal. 9 indexed citations
20.
Lovett, Mitchell J. & Ron Shachar. (2010). The Seeds of Negativity: Knowledge and Money. SSRN Electronic Journal. 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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