Will Ma
Impact in
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- Supply Chain and Inventory Management
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- Auction Theory and Applications
- Advanced Bandit Algorithms Research
Papers in
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- Optimization and Search Problems 30
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- Auction Theory and Applications 22
- Advanced Bandit Algorithms Research 6
- Co-authors
- David Simchi‐Levi (10 shared papers)Joey Huchette (1 shared paper)Christian Tjandraatmadja (1 shared paper)Juan Pablo Vielma (1 shared paper)Ross Anderson (1 shared paper)Linwei Xin (5 shared papers)Jackie Baek (1 shared paper)Xi Chen (2 shared papers)
- Journals
- Operations Research (12 papers)Management Science (5 papers)Mathematics of Operations Research (3 papers)Mathematical Programming (2 papers)Manufacturing & Service Operations Management (1 paper)
- Partner nations
- United StatesSingaporeChina
In The Last Decade
Will Ma
48 papers receiving 404 citations
Peers
Comparison fields: 5 of 68
- Management Information Systems 118
- Management Science and Operations Research 143
- Marketing 62
- Computer Networks and Communications 152
- Industrial and Manufacturing Engineering 60
Countries citing papers authored by Will Ma
This map shows the geographic impact of Will Ma'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 Will Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Will Ma more than expected).
Fields of papers citing papers by Will Ma
This network shows the impact of papers produced by Will Ma. 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 Will Ma. The network helps show where Will Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Will Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 117 | |
| 2 | 2020 | 51 | |
| 3 | 2020 | 28 | |
| 4 | 2018 | 15 | |
| 5 | 2016 | 13 | |
| 6 | 2014 | 12 | |
| 7 | 2022 | 12 | |
| 8 | 2013 | 12 | |
| 9 | 2022 | 10 | |
| 10 | 2009 | 10 | |
| 11 | 2022 | 10 | |
| 12 | The influence of reproductive hormones on brain function in the menopausal transition. | 2009 | 9 |
| 13 | 2020 | 7 | |
| 14 | 2023 | 7 | |
| 15 | 2018 | 7 | |
| 16 | 2022 | 6 | |
| 17 | 2022 | 6 | |
| 18 | 2019 | 6 | |
| 19 | 2022 | 6 | |
| 20 | 2023 | 5 |
About Will Ma
Will Ma is a scholar working on Computer Networks and Communications, Management Science and Operations Research, Management Information Systems, Marketing and Artificial Intelligence, having authored 57 papers that have together received 413 indexed citations. Recurring topics across this work include Optimization and Search Problems (30 papers), Auction Theory and Applications (22 papers), Supply Chain and Inventory Management (21 papers), Consumer Market Behavior and Pricing (13 papers), Advanced Bandit Algorithms Research (6 papers), Scheduling and Optimization Algorithms (5 papers), Complexity and Algorithms in Graphs (5 papers) and Advanced Queuing Theory Analysis (4 papers). The work is most often cited by research in Management Information Systems (118 citations), Management Science and Operations Research (143 citations), Marketing (62 citations), Computer Networks and Communications (152 citations) and Industrial and Manufacturing Engineering (60 citations). Will Ma has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include David Simchi‐Levi, Joey Huchette, Christian Tjandraatmadja, Juan Pablo Vielma, Ross Anderson, Linwei Xin, Jackie Baek, Xi Chen, John F. Randolph and Wang Chi Cheung. Their work appears in journals such as Operations Research, Management Science, Mathematics of Operations Research, Mathematical Programming 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.