Artem Timoshenko

933 total citations · 1 hit paper
15 papers, 565 citations indexed

About

Artem Timoshenko is a scholar working on Marketing, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Artem Timoshenko has authored 15 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Marketing, 5 papers in Artificial Intelligence and 4 papers in Management Science and Operations Research. Recurrent topics in Artem Timoshenko's work include Consumer Market Behavior and Pricing (6 papers), Customer churn and segmentation (3 papers) and Auction Theory and Applications (3 papers). Artem Timoshenko is often cited by papers focused on Consumer Market Behavior and Pricing (6 papers), Customer churn and segmentation (3 papers) and Auction Theory and Applications (3 papers). Artem Timoshenko collaborates with scholars based in United States, Canada and Morocco. Artem Timoshenko's co-authors include John R. Hauser, Duncan Simester, Paramveer S. Dhillon, Glen L. Urban, Xiao Liu, Randall A. Lewis, Hema Yoganarasimhan, Dokyun Lee, E. Schwarz and Kanishka Misra and has published in prestigious journals such as Management Science, Marketing Science and Marketing Letters.

In The Last Decade

Artem Timoshenko

11 papers receiving 535 citations

Hit Papers

Identifying Customer Needs from User-Generated Content 2019 2026 2021 2023 2019 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. Identifying Customer Needs from User-Generated Content
    2019 336 citations Artem Timoshenko, John R. Hauser Marketing Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Artem Timoshenko United States 7 251 248 154 73 72 15 565
Daria Dzyabura United States 11 405 1.6× 215 0.9× 103 0.7× 102 1.4× 104 1.4× 19 656
Rajat Kumar Behera India 15 197 0.8× 252 1.0× 184 1.2× 100 1.4× 67 0.9× 39 727
Pengkun Wu China 8 171 0.7× 264 1.1× 126 0.8× 110 1.5× 36 0.5× 20 555
Nastaran Hajiheydari Iran 14 141 0.6× 205 0.8× 102 0.7× 108 1.5× 66 0.9× 34 547
Christina Schamp Germany 8 209 0.8× 280 1.1× 284 1.8× 34 0.5× 32 0.4× 10 659
Oliver Müller Germany 9 197 0.8× 195 0.8× 62 0.4× 103 1.4× 42 0.6× 22 527
Gene Moo Lee United States 10 103 0.4× 186 0.8× 102 0.7× 52 0.7× 43 0.6× 34 437
Wei‐Lun Chang Taiwan 15 223 0.9× 247 1.0× 85 0.6× 59 0.8× 51 0.7× 81 690
Shu He United States 9 137 0.5× 176 0.7× 69 0.4× 53 0.7× 41 0.6× 24 391
Xin Tian United States 14 129 0.5× 324 1.3× 167 1.1× 87 1.2× 39 0.5× 43 651

Countries citing papers authored by Artem Timoshenko

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Artem Timoshenko

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

All Works

15 of 15 papers shown
1.
2.
Hauser, John R., et al.. (2023). Product Aesthetic Design: A Machine Learning Augmentation. Marketing Science. 42(6). 1029–1056. 38 indexed citations
3.
4.
Simester, Duncan, et al.. (2022). A Sample Size Calculation for Training and Certifying Targeting Policies. SSRN Electronic Journal.
5.
Hauser, John R., et al.. (2022). Product Aesthetic Design: A Machine Learning Augmentation. SSRN Electronic Journal. 1 indexed citations
6.
Timoshenko, Artem, et al.. (2021). Product Choice with Large Assortments: A Scalable Deep-Learning Model. Management Science. 68(3). 1808–1827. 39 indexed citations
7.
Proserpio, Davide, John R. Hauser, Xiao Liu, et al.. (2020). Soul and machine (learning). Marketing Letters. 31(4). 393–404. 21 indexed citations
8.
Simester, Duncan, et al.. (2020). Efficiently Evaluating Targeting Policies: Improving on Champion vs. Challenger Experiments. Management Science. 66(8). 3412–3424. 33 indexed citations
9.
Urban, Glen L., Artem Timoshenko, Paramveer S. Dhillon, & John R. Hauser. (2019). Is deep learning a game changer for marketing analytics. DSpace@MIT (Massachusetts Institute of Technology). 61(2). 70–76. 14 indexed citations
10.
Timoshenko, Artem, et al.. (2019). Cross-Category Product Choice: A Scalable Deep-Learning Model. SSRN Electronic Journal. 1 indexed citations
11.
Timoshenko, Artem & John R. Hauser. (2019). Identifying Customer Needs from User-Generated Content. Marketing Science. 38(1). 1–20. 336 indexed citations breakdown →
12.
Timoshenko, Artem, et al.. (2019). How do successful scholars get their best research ideas? An exploration. Marketing Letters. 30(3-4). 221–232. 1 indexed citations
13.
Simester, Duncan, et al.. (2019). Targeting Prospective Customers: Robustness of Machine-Learning Methods to Typical Data Challenges. Management Science. 66(6). 2495–2522. 75 indexed citations
14.
Timoshenko, Artem & John R. Hauser. (2017). Identifying Customer Needs from User-Generated Content. SSRN Electronic Journal. 6 indexed citations
15.
Simester, Duncan, et al.. (2017). Efficiently Evaluating Targeting Policies Using Field Experiments. SSRN Electronic Journal.

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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