Marketing research rankings
Papers in the 15 tracked marketing journals, window 2026-09-29 – 2026-10-28 (30 days). Keywords, institutions, web domains and countries are ranked by paper count. Also as Markdown.
135Papers (30 days)
17Papers (last 7 days)
15Journals
247Institutions
49Countries
242Web domains
Key findings#
- In the last 30 days (2026-09-29 to 2026-10-28), 135 papers were published in the 15 tracked marketing journals (as indexed by OpenAlex).
- The most frequent keywords were “consumer behavior” (19), “purchase intention” (11) and “customer engagement” (8).
- The institutions with the most papers were University of Bath (4), Oklahoma State University (3) and Texas Tech University (3).
- United States was involved in 27% of the papers (37), followed by China (36) and United Kingdom (14).
- Among institution web domains, .edu appeared on 33% of the papers.
- The most-mentioned equations and models were Structural equation modeling (SEM) (27), Mediation model (indirect effect) (7) and Difference-in-differences (4).
- The most-mentioned kinds of data were Social media data (10), Optimization benchmark instances (3) and Online reviews, e-commerce and recommender data (2); the most-mentioned datasets were Facebook (6), YouTube / TikTok (5) and OR-Library (3).
- Rising since 2026-10-22: “consumer behavior” (new, now #1), “purchase intention” (new, now #2) and “customer engagement” (new, now #3).
Papers per day#
2026-09-292026-10-28
Show the numbers
| Date | Papers |
|---|---|
| 2026-09-29 | 0 |
| 2026-09-30 | 3 |
| 2026-10-01 | 22 |
| 2026-10-02 | 7 |
| 2026-10-03 | 4 |
| 2026-10-04 | 2 |
| 2026-10-05 | 10 |
| 2026-10-06 | 2 |
| 2026-10-07 | 3 |
| 2026-10-08 | 7 |
| 2026-10-09 | 5 |
| 2026-10-10 | 6 |
| 2026-10-11 | 0 |
| 2026-10-12 | 3 |
| 2026-10-13 | 4 |
| 2026-10-14 | 6 |
| 2026-10-15 | 7 |
| 2026-10-16 | 4 |
| 2026-10-17 | 7 |
| 2026-10-18 | 0 |
| 2026-10-19 | 6 |
| 2026-10-20 | 5 |
| 2026-10-21 | 5 |
| 2026-10-22 | 3 |
| 2026-10-23 | 4 |
| 2026-10-24 | 3 |
| 2026-10-25 | 2 |
| 2026-10-26 | 4 |
| 2026-10-27 | 1 |
| 2026-10-28 | 0 |
Growing lately# Trends →
| Keyword | Papers per month, Oct 23 – Oct 26* | Papers Jul 2026–Sep 2026 | vs. earlier share |
|---|---|---|---|
| willingness to pay | 12 | +8 | |
| risk perception | 13 | +8 | |
| generative AI | 14 | +7 | |
| consumer trust | 15 | +6 | |
| human-AI collaboration | 8 | +6 |
Most-cited papers of the past three years# All →
Rising keywords#
| # | Keyword | Papers | vs 2026-10-22 |
|---|---|---|---|
| 1 | consumer behavior | 19 | new |
| 2 | purchase intention | 11 | new |
| 3 | customer engagement | 8 | new |
| 4 | influencer marketing | 7 | new |
| 5 | consumer attitudes | 5 | new |
| 5 | consumer response | 5 | new |
| 7 | customer satisfaction | 4 | new |
| 7 | generative AI | 4 | new |
| 7 | human-robot interaction | 4 | new |
| 7 | institutional theory | 4 | new |
Top research keywords#
| # | Keyword | Papers | Last 7 days |
|---|---|---|---|
| 1 | consumer behavior | 19 | 1 |
| 2 | purchase intention | 11 | 1 |
| 3 | customer engagement | 8 | 2 |
| 4 | influencer marketing | 7 | 0 |
| 5 | consumer attitudes | 5 | 0 |
| 5 | consumer response | 5 | 0 |
| 7 | customer satisfaction | 4 | 0 |
| 7 | generative AI | 4 | 1 |
| 7 | human-robot interaction | 4 | 2 |
| 7 | institutional theory | 4 | 0 |
| 7 | moderating effect | 4 | 1 |
| 7 | service quality | 4 | 0 |
| 7 | signaling theory | 4 | 0 |
| 14 | artificial intelligence adoption | 3 | 0 |
| 14 | behavioral intention | 3 | 0 |
| 14 | consumer choice | 3 | 0 |
| 14 | consumer perception | 3 | 1 |
| 14 | corporate sustainability | 3 | 0 |
| 14 | grocery retail | 3 | 1 |
| 14 | omnichannel retail | 3 | 0 |
Top universities and research institutions#
| # | Institution | Papers | Last 7 days |
|---|---|---|---|
| 1 | University of Bath | 4 | 0 |
| 2 | Oklahoma State University | 3 | 1 |
| 2 | Texas Tech University | 3 | 1 |
| 2 | Georgia State University | 3 | 0 |
| 2 | Sichuan University | 3 | 0 |
| 2 | UNSW Sydney | 3 | 0 |
| 2 | Universidade Nova de Lisboa | 3 | 0 |
| 2 | Babson College | 3 | 0 |
| 2 | Tecnológico de Monterrey | 3 | 0 |
| 2 | Macquarie University | 3 | 1 |
| 11 | Rutgers, The State University of New Jersey | 2 | 1 |
| 11 | Boston College | 2 | 1 |
| 11 | University of Iowa | 2 | 0 |
| 11 | Central University of Finance and Economics | 2 | 0 |
| 11 | Hong Kong Polytechnic University | 2 | 1 |
| 11 | Philipps University of Marburg | 2 | 0 |
| 11 | Manipal Academy of Higher Education | 2 | 0 |
| 11 | National University of Singapore | 2 | 0 |
| 11 | Xiamen University | 2 | 0 |
| 11 | Southwestern University of Finance and Economics | 2 | 1 |
Top institution web domains#
| # | Web domain | Papers | Last 7 days |
|---|---|---|---|
| 1 | bath.ac.uk | 4 | 0 |
| 2 | babson.edu | 3 | 0 |
| 2 | gsu.edu | 3 | 0 |
| 2 | mq.edu.au | 3 | 1 |
| 2 | okstate.edu | 3 | 1 |
| 2 | scu.edu.cn | 3 | 0 |
| 2 | tec.mx | 3 | 0 |
| 2 | ttu.edu | 3 | 1 |
| 2 | unl.pt | 3 | 0 |
| 2 | unsw.edu.au | 3 | 0 |
| 11 | bc.edu | 2 | 1 |
| 11 | cufe.edu.cn | 2 | 0 |
| 11 | em-lyon.com | 2 | 1 |
| 11 | fsu.edu | 2 | 1 |
| 11 | jazanu.edu.sa | 2 | 0 |
| 11 | kfu.edu.sa | 2 | 0 |
| 11 | kuleuven.be | 2 | 0 |
| 11 | manipal.edu | 2 | 0 |
| 11 | monash.edu | 2 | 0 |
| 11 | ntu.ac.uk | 2 | 0 |
Top countries#
| # | Country | Papers | Last 7 days |
|---|---|---|---|
| 1 | United States (US) | 37 | 5 |
| 2 | China (CN) | 36 | 5 |
| 3 | United Kingdom (GB) | 14 | 1 |
| 4 | Australia (AU) | 9 | 1 |
| 5 | Germany (DE) | 7 | 2 |
| 6 | South Korea (KR) | 6 | 1 |
| 7 | Belgium (BE) | 5 | 0 |
| 7 | India (IN) | 5 | 0 |
| 7 | Netherlands (NL) | 5 | 1 |
| 7 | Portugal (PT) | 5 | 0 |
| 7 | Saudi Arabia (SA) | 5 | 0 |
| 12 | Canada (CA) | 4 | 2 |
| 12 | France (FR) | 4 | 1 |
| 12 | Hong Kong (HK) | 4 | 1 |
| 15 | Spain (ES) | 3 | 0 |
| 15 | Indonesia (ID) | 3 | 0 |
| 15 | Mexico (MX) | 3 | 0 |
| 15 | Sweden (SE) | 3 | 0 |
| 15 | Taiwan (TW) | 3 | 0 |
| 15 | Vietnam (VN) | 3 | 0 |
Research fields#
| # | Field | Papers | Last 7 days |
|---|---|---|---|
| 1 | Business, Management and Accounting | 72 | 7 |
| 2 | Social Sciences | 24 | 1 |
| 3 | Computer Science | 22 | 3 |
| 4 | Decision Sciences | 4 | 1 |
| 5 | Agricultural and Biological Sciences | 3 | 0 |
| 5 | Economics, Econometrics and Finance | 3 | 2 |
| 7 | Engineering | 2 | 1 |
| 7 | Psychology | 2 | 2 |
| 9 | Environmental Science | 1 | 0 |
| 9 | Medicine | 1 | 0 |
Papers per journal#
| # | Journal | Papers | Last 7 days |
|---|---|---|---|
| 1 | Journal of Retailing and Consumer Services | 57 | 5 |
| 2 | Journal of the Academy of Marketing Science | 10 | 3 |
| 3 | Industrial Marketing Management | 9 | 2 |
| 3 | Journal of Marketing Analytics | 9 | 2 |
| 5 | Corporate Reputation Review | 8 | 0 |
| 5 | International Journal of Research in Marketing | 8 | 0 |
| 5 | Journal of Financial Services Marketing | 8 | 1 |
| 8 | Journal of Retailing | 7 | 0 |
| 9 | Public Relations Review | 6 | 0 |
| 10 | AMS Review | 4 | 1 |
| 10 | Journal of Consumer Policy | 4 | 2 |
| 12 | Marketing Letters | 2 | 1 |
| 12 | Place Branding and Public Diplomacy | 2 | 0 |
| 14 | International Review on Public and Nonprofit Marketing | 1 | 0 |
| 15 | Journal of Brand Management | 0 | 0 |
Most-used equations and models#
| # | Equation or model | Formula | Papers |
|---|---|---|---|
| 1 | Structural equation modeling (SEM) | 27 | |
| 2 | Mediation model (indirect effect) | 7 | |
| 3 | Difference-in-differences | 4 | |
| 3 | Random forest | 4 | |
| 5 | Gradient boosting (XGBoost) | 3 | |
| 5 | Logistic regression (logit) | 3 | |
| 5 | Ordinary least squares (OLS) | 3 | |
| 8 | Long short-term memory (LSTM) | 2 | |
| 8 | Mean-variance portfolio (Markowitz) | 2 | |
| 8 | Propensity score matching | 2 |
Most-used data#
| # | Data category | Most-mentioned datasets | Papers |
|---|---|---|---|
| 1 | Social media data | Facebook (6), YouTube / TikTok (5), Twitter / X (1), Reddit (1) | 10 |
| 2 | Optimization benchmark instances | OR-Library (3) | 3 |
| 3 | Online reviews, e-commerce and recommender data | Airbnb (1), Taobao / Tmall / JD.com (1) | 2 |
| 4 | Company financial statements | Compustat (1) | 1 |
| 4 | Corporate governance and executive data | BoardEx (1) | 1 |
| 4 | Firm surveys and census data | World Bank Enterprise Surveys (1) | 1 |
| 4 | Governance and institutional indicators | Economic freedom indices (1) | 1 |
| 4 | International trade and input-output data | WITS / TRAINS tariff data (1) | 1 |
| 4 | Real estate and housing data | China housing platforms (Lianjia, Anjuke, Fang.com) (1) | 1 |
| 4 | Search, news and web data | Google Trends (1) | 1 |
Latest marketing papers#
Questions this page answers#
- What are the most common topics in recent marketing research?
- In the last 30 days, the most frequent OpenAlex keywords in papers from the tracked marketing journals were “consumer behavior” (19), “purchase intention” (11), “customer engagement” (8), “influencer marketing” (7) and “consumer attitudes” (5).
- Which universities and institutions publish the most marketing research?
- In the last 30 days, the institutions with the most papers in the tracked marketing journals were University of Bath (4), Oklahoma State University (3), Texas Tech University (3), Georgia State University (3) and Sichuan University (3).
- Which countries publish the most marketing research?
- Counting papers with at least one author at an institution in the country, the leaders over the last 30 days were United States (37), China (36), United Kingdom (14), Australia (9) and Germany (7).
- Which equations and models do recent marketing research papers use most?
- Counting papers that mention them by name in the title, abstract, keywords or full text, the most frequent in the tracked marketing journals over the last 30 days were Structural equation modeling (SEM) (27), Mediation model (indirect effect) (7), Difference-in-differences (4), Random forest (4) and Gradient boosting (XGBoost) (3).
- What data do recent marketing research papers use?
- Counting papers that mention a dataset by name, the kinds of data used most over the last 30 days were Social media data (10), Optimization benchmark instances (3), Online reviews, e-commerce and recommender data (2), Company financial statements (1) and Corporate governance and executive data (1); the most-mentioned datasets were Facebook (6), YouTube / TikTok (5), OR-Library (3), Airbnb (1) and BoardEx (1).
- Which marketing research topics are rising?
- Compared with the ranking on 2026-10-22, the keywords that climbed the most were “consumer behavior” (new, now #1), “purchase intention” (new, now #2), “customer engagement” (new, now #3), “influencer marketing” (new, now #4) and “consumer attitudes” (new, now #5).
- How current is this data?
- It is rebuilt from OpenAlex 4 times a day (00:00, 06:00, 12:00, 18:00, UTC+09:00); the last update was 2026-10-28 12:01 UTC+09:00. OpenAlex usually indexes new papers within a few days of publication.
Cite this page
Scholar4AI. (2026). Marketing research rankings. Journal Research Rankings. Retrieved October 28, 2026, from https://scholar4ai.com/categories/marketing
@misc{scholar4ai-categories-marketing,
author = {{Scholar4AI}},
title = {Marketing research rankings},
year = {2026},
howpublished = {\url{https://scholar4ai.com/categories/marketing}},
urldate = {2026-10-28},
note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}