Sarah M. Ryan
-
- Supply Chain and Inventory Management 16
- Strategy and Management top 2%
- Sustainable Supply Chain Management 11
-
- Power System Reliability and Maintenance 15
-
- Risk and Portfolio Optimization 13
-
- Electric Power System Optimization 37
- Energy Load and Power Forecasting 16
-
- Scheduling and Optimization Algorithms 11
-
- Capital Investment and Risk Analysis 10
- Co-authors
- Shan JinDavid L. WoodruffJean‐Paul WatsonElnaz KabirEsmaeil KeyvanshokoohRahul R. MaratheJames D. McCalleyRoger J.‐B. Wets
- Journals
- Journal of the American Statistical Association (1 paper)NeuroImage (1 paper)Child Development (1 paper)
- Partner nations
- United StatesFranceIndia
In The Last Decade
Sarah M. Ryan
97 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 101
- Management Information Systems 506
- Strategy and Management 612
- Safety, Risk, Reliability and Quality 345
- Management Science and Operations Research 346
- Energy Engineering and Power Technology 85
Countries citing papers authored by Sarah M. Ryan
This map shows the geographic impact of Sarah M. 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 Sarah M. Ryan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah M. Ryan more than expected).
Fields of papers citing papers by Sarah M. Ryan
This network shows the impact of papers produced by Sarah M. 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 Sarah M. Ryan. The network helps show where Sarah M. Ryan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sarah M. Ryan, 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 | 2025 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 11 | |
| 5 | 2020 | 0 | |
| 6 | 2017 | 4 | |
| 7 | 2017 | 11 | |
| 8 | 2016 | 26 | |
| 9 | 2015 | 220 | |
| 10 | 2014 | 7 | |
| 11 | 2009 | 12 | |
| 12 | Risk-Based Transmission Expansion | 2008 | 3 |
| 13 | 2005 | 48 | |
| 14 | 2004 | 15 | |
| 15 | 2002 | 12 | |
| 16 | eCommerce for Reverse Logistics | 2002 | 5 |
| 17 | Electronics Manufacturers' Support for Product Recycling | 2001 | 1 |
| 18 | 2000 | 4 | |
| 19 | Degeneracy in discrete infinite horizon optimization. | 1988 | 2 |
| 20 | 1970 | 15 |
About Sarah M. Ryan
Sarah M. Ryan is a scholar working on Management Information Systems, Architecture and Safety, Risk, Reliability and Quality, having authored 103 papers that have together received 2.6k indexed citations. Recurring topics across this work include Electric Power System Optimization (37 papers), Energy Load and Power Forecasting (16 papers), Supply Chain and Inventory Management (16 papers), Power System Reliability and Maintenance (15 papers), Risk and Portfolio Optimization (13 papers), Scheduling and Optimization Algorithms (11 papers), Sustainable Supply Chain Management (11 papers) and Capital Investment and Risk Analysis (10 papers). The work is most often cited by research in Management Information Systems (506 citations), Strategy and Management (612 citations) and Safety, Risk, Reliability and Quality (345 citations). Sarah M. Ryan has collaborated with scholars based in United States, France and India. Frequent co-authors include Shan Jin, David L. Woodruff, Jean‐Paul Watson, Elnaz Kabir, Esmaeil Keyvanshokooh, Rahul R. Marathe, James D. McCalley, Roger J.‐B. Wets, Esteban Gil and Xiang Wu. Their work appears in journals such as Journal of the American Statistical Association, NeuroImage and Child Development.
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.