Artem Timoshenko
Impact in
- Marketing top 5%
- Consumer Market Behavior and Pricing
- Consumer Behavior in Brand Consumption and Identification
- Consumer Retail Behavior Studies
- Management Information Systems top 10%
Papers in
- Marketing 10
- Consumer Market Behavior and Pricing 6
- Customer churn and segmentation 3
- Service and Product Innovation 2
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- Advanced Text Analysis Techniques 2
- Co-authors
- John R. Hauser (6 shared papers)Duncan Simester (4 shared papers)Glen L. Urban (1 shared paper)Paramveer S. Dhillon (1 shared paper)Dokyun Lee (1 shared paper)Xiao Liu (1 shared paper)Kanishka Misra (1 shared paper)Davide Proserpio (1 shared paper)
- Journals
- Management Science (3 papers)Marketing Letters (2 papers)Marketing Science (2 papers)SSRN Electronic Journal (5 papers)DSpace@MIT (Massachusetts Institute of Technology) (1 paper)
- Partner nations
- United StatesCanadaMorocco
In The Last Decade
Artem Timoshenko
11 papers receiving 535 citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Marketing 251
- Management Information Systems 73
- Information Systems and Management 47
- Management Science and Operations Research 72
- Sociology and Political Science 248
Countries citing papers authored by Artem Timoshenko
This map shows the geographic impact of Artem Timoshenko'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 Artem Timoshenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Artem Timoshenko more than expected).
Fields of papers citing papers by Artem Timoshenko
This network shows the impact of papers produced by Artem Timoshenko. 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 Artem Timoshenko. The network helps show where Artem Timoshenko may publish in the future.
Co-authors
The 17 scholars most cited alongside Artem Timoshenko, 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 | Identifying Customer Needs from User-Generated Content Hit paper breakdown → | 2019 | 336 |
| 2 | 2019 | 75 | |
| 3 | 2021 | 39 | |
| 4 | 2023 | 38 | |
| 5 | 2020 | 33 | |
| 6 | 2020 | 21 | |
| 7 | Is deep learning a game changer for marketing analytics | 2019 | 14 |
| 8 | 2017 | 6 | |
| 9 | 2019 | 1 | |
| 10 | 2019 | 1 | |
| 11 | 2022 | 1 | |
| 12 | 2023 | 0 | |
| 13 | 2022 | 0 | |
| 14 | 2023 | 0 | |
| 15 | 2017 | 0 |
About Artem Timoshenko
Artem Timoshenko is a scholar working on Marketing, Artificial Intelligence, Management Science and Operations Research, Sociology and Political Science and Information Systems, having authored 15 papers that have together received 565 indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (6 papers), Auction Theory and Applications (3 papers), Customer churn and segmentation (3 papers), Experimental Behavioral Economics Studies (2 papers), Digital Marketing and Social Media (2 papers), Aesthetic Perception and Analysis (2 papers), Advanced Text Analysis Techniques (2 papers) and Service and Product Innovation (2 papers). The work is most often cited by research in Marketing (251 citations), Management Information Systems (73 citations), Information Systems and Management (47 citations), Management Science and Operations Research (72 citations) and Sociology and Political Science (248 citations). Artem Timoshenko has collaborated with scholars based in United States, Canada and Morocco. Frequent co-authors include John R. Hauser, Duncan Simester, Glen L. Urban, Paramveer S. Dhillon, Dokyun Lee, Xiao Liu, Kanishka Misra, Davide Proserpio, E. Schwarz and Randall A. Lewis. Their work appears in journals such as Management Science, Marketing Letters, Marketing Science, SSRN Electronic Journal and DSpace@MIT (Massachusetts Institute of Technology).
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.