Masha Shunko
- Management Information Systems top 5%
- Economics and Econometrics top 10%
- Strategy and Management top 10%
- Accounting top 10%
- Marketing top 10%
- Co-authors
- Srinagesh GavirneniLaurens DeboAndy A. TsaySerguei NetessineMarilyn T. LucasDavid C. NovakShawn MankadHung Xuan
- Topics
- Supply Chain and Inventory Management (8 papers)Advanced Queuing Theory Analysis (7 papers)Consumer Market Behavior and Pricing (6 papers)
- Journals
- Management ScienceProduction and Operations ManagementManufacturing & Service Operations Management
- Partner nations
- United StatesSingaporeChina
In The Last Decade
Masha Shunko
24 papers receiving 355 citations
Peers
Comparison fields: 5 of 63
- Management Information Systems 170
- Economics and Econometrics 122
- Strategy and Management 120
- Accounting 67
- Marketing 52
Countries citing papers authored by Masha Shunko
This map shows the geographic impact of Masha Shunko'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 Masha Shunko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masha Shunko more than expected).
Fields of papers citing papers by Masha Shunko
This network shows the impact of papers produced by Masha Shunko. 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 Masha Shunko. The network helps show where Masha Shunko may publish in the future.
Co-authorship network of co-authors of Masha Shunko
This figure shows the co-authorship network connecting the top 25 collaborators of Masha Shunko. A scholar is included among the top collaborators of Masha Shunko 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 Masha Shunko. Masha Shunko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 20 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 17 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 13 | |
| 10 | 70 | |
| 11 | 55 | |
| 12 | 5 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 5 | |
| 17 | 5 | |
| 18 | 72 | |
| 19 | Global supply chain planning: Impact of international taxation and transfer pricing | 4 |
| 20 | 32 |
About Masha Shunko
Masha Shunko is a scholar working on Management Information Systems, Marketing and Transportation, having authored 25 papers that have together received 366 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (8 papers), Advanced Queuing Theory Analysis (7 papers) and Consumer Market Behavior and Pricing (6 papers). The work is most often cited by research in Management Information Systems (170 citations), Strategy and Management (120 citations) and Accounting (67 citations). Masha Shunko has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Srinagesh Gavirneni, Laurens Debo, Andy A. Tsay, Serguei Netessine, Marilyn T. Lucas, David C. Novak, Shawn Mankad, Hung Xuan, Sridhar Tayur and Alan Scheller‐Wolf. Their work appears in journals such as Management Science, Production and Operations Management and Manufacturing & Service Operations Management.
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.