Olivia J. Pinon-Fischer
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- Technology Assessment and Management 5
- Aerospace Engineering top 10%
- Air Traffic Management and Optimization 4
- Spacecraft Design and Technology 3
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- Manufacturing Process and Optimization 5
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- Systems Engineering Methodologies and Applications 5
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- Anomaly Detection Techniques and Applications 4
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- Product Development and Customization 4
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- Advanced Aircraft Design and Technologies 4
- Co-authors
- Dimitri N. MavrisTejas G. PuranikMichelle KirbyBjorn ColeMichael G. BalchanosArun RamamurthyYoung‐Jin KimScott Duncan
- Cited by
- Statistics, Probability and UncertaintySafety, Risk, Reliability and QualityAerospace Engineering
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Olivia J. Pinon-Fischer
32 papers receiving 325 citations
Peers
Comparison fields: 5 of 61
- Statistics, Probability and Uncertainty 48
- Safety, Risk, Reliability and Quality 37
- Aerospace Engineering 92
- Statistical and Nonlinear Physics 45
- Industrial and Manufacturing Engineering 31
Countries citing papers authored by Olivia J. Pinon-Fischer
This map shows the geographic impact of Olivia J. Pinon-Fischer'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 Olivia J. Pinon-Fischer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olivia J. Pinon-Fischer more than expected).
Fields of papers citing papers by Olivia J. Pinon-Fischer
This network shows the impact of papers produced by Olivia J. Pinon-Fischer. 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 Olivia J. Pinon-Fischer. The network helps show where Olivia J. Pinon-Fischer may publish in the future.
Co-authorship network
The 15 scholars most cited alongside Olivia J. Pinon-Fischer, 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 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 19 | |
| 10 | 2023 | 5 | |
| 11 | 2021 | 6 | |
| 12 | 2020 | 21 | |
| 13 | 2020 | 8 | |
| 14 | 2020 | 10 | |
| 15 | 2020 | 56 | |
| 16 | 2019 | 3 | |
| 17 | 2017 | 3 | |
| 18 | 2016 | 9 | |
| 19 | 2015 | 4 | |
| 20 | 2014 | 4 |
About Olivia J. Pinon-Fischer
Olivia J. Pinon-Fischer is a scholar working on Safety, Risk, Reliability and Quality, Industrial and Manufacturing Engineering and Statistics, Probability and Uncertainty, having authored 38 papers that have together received 330 indexed citations. Recurring topics across this work include Systems Engineering Methodologies and Applications (5 papers), Manufacturing Process and Optimization (5 papers), Technology Assessment and Management (5 papers), Air Traffic Management and Optimization (4 papers), Anomaly Detection Techniques and Applications (4 papers), Product Development and Customization (4 papers), Advanced Aircraft Design and Technologies (4 papers) and Spacecraft Design and Technology (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (48 citations), Safety, Risk, Reliability and Quality (37 citations) and Aerospace Engineering (92 citations). Olivia J. Pinon-Fischer has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Dimitri N. Mavris, Tejas G. Puranik, Michelle Kirby, Bjorn Cole, Michael G. Balchanos, Arun Ramamurthy, Young‐Jin Kim, Scott Duncan, Dat Huynh and Jesse Williams.
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.