Jennifer K. Ryan
- Management Information Systems top 0.1%
- Strategy and Management top 0.5%
- Management Science and Operations Research top 0.5%
- Marketing top 1%
- Safety, Risk, Reliability and Quality top 0.5%
- Co-authors
- David Simchi‐LeviFrank ChenZvi DreznerDaewon SunMark LawleyRong LiNagi GebraeelXuying Zhao
- Topics
- Supply Chain and Inventory Management (26 papers)Auction Theory and Applications (11 papers)Sustainable Supply Chain Management (7 papers)
- Cited by
- Management Information SystemsStrategy and ManagementManagement Science and Operations Research
- Partner nations
- United StatesIrelandAustralia
In The Last Decade
Jennifer K. Ryan
52 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Management Information Systems 2.2k
- Strategy and Management 1.4k
- Management Science and Operations Research 834
- Marketing 575
- Safety, Risk, Reliability and Quality 555
Countries citing papers authored by Jennifer K. Ryan
This map shows the geographic impact of Jennifer K. Ryan'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 Jennifer K. Ryan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer K. Ryan more than expected).
Fields of papers citing papers by Jennifer K. Ryan
This network shows the impact of papers produced by Jennifer K. Ryan. 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 Jennifer K. Ryan. The network helps show where Jennifer K. Ryan may publish in the future.
Co-authorship network of co-authors of Jennifer K. Ryan
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer K. Ryan. A scholar is included among the top collaborators of Jennifer K. Ryan 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 Jennifer K. Ryan. Jennifer K. Ryan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 14 | |
| 3 | 12 | |
| 4 | 9 | |
| 5 | 39 | |
| 6 | 68 | |
| 7 | 53 | |
| 8 | Residual-life distributions from component degradation signals: A Bayesian approachbreakdown → | 612 |
| 9 | One-sided post-processing for the discontinuous Galerkin method | 5 |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 9 | |
| 13 | 2 | |
| 14 | 38 | |
| 15 | 31 | |
| 16 | 12 | |
| 17 | 48 | |
| 18 | 22 | |
| 19 | 35 | |
| 20 | 3 |
About Jennifer K. Ryan
Jennifer K. Ryan is a scholar working on Management Information Systems, Management Science and Operations Research and Strategy and Management, having authored 53 papers that have together received 3.6k indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (26 papers), Auction Theory and Applications (11 papers) and Sustainable Supply Chain Management (7 papers). The work is most often cited by research in Management Information Systems (2.2k citations), Strategy and Management (1.4k citations) and Management Science and Operations Research (834 citations). Jennifer K. Ryan has collaborated with scholars based in United States, Ireland and Australia. Frequent co-authors include David Simchi‐Levi, Frank Chen, Zvi Drezner, Daewon Sun, Mark Lawley, Rong Li, Nagi Gebraeel, Xuying Zhao, Hui Zhao and Vinayak Deshpande. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Management Science and Gut.
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.