Dmitri Kuksov
Impact in
- Marketing top 0.5%
- Consumer Market Behavior and Pricing
- Consumer Behavior in Brand Consumption and Identification
- Consumer Retail Behavior Studies
- General Decision Sciences top 5%
Papers in
- Marketing 27
- Consumer Market Behavior and Pricing 27
- Consumer Retail Behavior Studies 3
- Co-authors
- J. Miguel Villas‐BoasYing XieKangkang WangGanesh IyerAmit PazgalRon ShacharKevin Lane KellerAshutosh Prasad
- Journals
- Marketing Science (16 papers)Management Science (3 papers)Journal of Marketing Research (3 papers)Quantitative Marketing and Economics (2 papers)International Journal of Research in Marketing (1 paper)
- Partner nations
- United StatesCanadaHong Kong
In The Last Decade
Dmitri Kuksov
30 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 71
- Marketing 941
- General Decision Sciences 60
- Strategy and Management 414
- Management Information Systems 240
- Management Science and Operations Research 330
Countries citing papers authored by Dmitri Kuksov
This map shows the geographic impact of Dmitri Kuksov'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 Dmitri Kuksov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitri Kuksov more than expected).
Fields of papers citing papers by Dmitri Kuksov
This network shows the impact of papers produced by Dmitri Kuksov. 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 Dmitri Kuksov. The network helps show where Dmitri Kuksov may publish in the future.
Co-authors
The 21 scholars most cited alongside Dmitri Kuksov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 3 | |
| 5 | 2019 | 50 | |
| 6 | 2019 | 5 | |
| 7 | 2017 | 2 | |
| 8 | 2017 | 19 | |
| 9 | 2015 | 24 | |
| 10 | 2014 | 15 | |
| 11 | A Model of the 'It' Products in Fashion | 2013 | 1 |
| 12 | Advertising and Consumers' Communications | 2013 | 0 |
| 13 | 2012 | 28 | |
| 14 | 2012 | 20 | |
| 15 | 2012 | 35 | |
| 16 | 2010 | 124 | |
| 17 | 2010 | 28 | |
| 18 | 2009 | 1 | |
| 19 | 2005 | 10 | |
| 20 | 1999 | 4 |
About Dmitri Kuksov
Dmitri Kuksov is a scholar working on Marketing, General Decision Sciences, Management Science and Operations Research, Strategy and Management and Safety Research, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (27 papers), Digital Platforms and Economics (14 papers), Merger and Competition Analysis (9 papers), Game Theory and Applications (7 papers), Innovation Diffusion and Forecasting (7 papers), Experimental Behavioral Economics Studies (4 papers), Consumer Retail Behavior Studies (3 papers) and Economic theories and models (3 papers). The work is most often cited by research in Marketing (941 citations), General Decision Sciences (60 citations), Strategy and Management (414 citations), Management Information Systems (240 citations) and Management Science and Operations Research (330 citations). Dmitri Kuksov has collaborated with scholars based in United States, Canada and Hong Kong. Frequent co-authors include J. Miguel Villas‐Boas, Ying Xie, Kangkang Wang, Ganesh Iyer, Amit Pazgal, Ron Shachar, Kevin Lane Keller, Ashutosh Prasad, Rik Pieters and Tülin Erdem. Their work appears in journals such as Marketing Science, Management Science, Journal of Marketing Research, Quantitative Marketing and Economics and International Journal of Research in Marketing.
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.