Payuna Uday
- Control and Systems Engineering top 10%
- Civil and Structural Engineering top 10%
- Statistics, Probability and Uncertainty top 2%
- Management Science and Operations Research top 10%
- Aerospace Engineering
- Topics
- Systems Engineering Methodologies and Applications (7 papers)Air Traffic Management and Optimization (5 papers)Infrastructure Resilience and Vulnerability Analysis (4 papers)
- Cited by
- Statistics, Probability and UncertaintyControl and Systems EngineeringCivil and Structural Engineering
- Journals
- Reliability Engineering & System SafetyJournal of Engineering for Gas Turbines and PowerSystems Engineering
- Partner nations
- United StatesIndia
In The Last Decade
Payuna Uday
12 papers receiving 289 citations
Peers
Comparison fields: 5 of 57
- Control and Systems Engineering 147
- Civil and Structural Engineering 126
- Statistics, Probability and Uncertainty 95
- Management Science and Operations Research 59
- Aerospace Engineering 53
Countries citing papers authored by Payuna Uday
This map shows the geographic impact of Payuna Uday'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 Payuna Uday with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Payuna Uday more than expected).
Fields of papers citing papers by Payuna Uday
This network shows the impact of papers produced by Payuna Uday. 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 Payuna Uday. The network helps show where Payuna Uday may publish in the future.
Co-authorship network of co-authors of Payuna Uday
This figure shows the co-authorship network connecting the top 25 collaborators of Payuna Uday. A scholar is included among the top collaborators of Payuna Uday 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 Payuna Uday. Payuna Uday is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | Increasing robustness and resilience: assessing disruptions and dependencies in analysis of system-of-systems alternatives | 0 |
| 3 | System importance measures: A new approach to resilient systems-of-systems | 4 |
| 4 | 142 | |
| 5 | 13 | |
| 6 | 37 | |
| 7 | 4 | |
| 8 | 25 | |
| 9 | 27 | |
| 10 | 6 | |
| 11 | 13 | |
| 12 | Mitigating environmental impacts using aircraft operations: A systematic overview and a focus on end-around taxiways | 2 |
| 13 | 14 |
About Payuna Uday
Payuna Uday is a scholar working on Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality and Control and Systems Engineering, having authored 13 papers that have together received 306 indexed citations. Recurring topics across this work include Systems Engineering Methodologies and Applications (7 papers), Air Traffic Management and Optimization (5 papers) and Infrastructure Resilience and Vulnerability Analysis (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (95 citations), Control and Systems Engineering (147 citations) and Civil and Structural Engineering (126 citations). Payuna Uday has collaborated with scholars based in United States and India. Frequent co-authors include Karen Marais, Ranjan Ganguli, Tom Reynolds, R. John Hansman and Daniel DeLaurentis. Their work appears in journals such as Reliability Engineering & System Safety, Journal of Engineering for Gas Turbines and Power and Systems Engineering.
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.