Juliane Müller
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- Advanced Multi-Objective Optimization Algorithms 13
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- Probabilistic and Robust Engineering Design 7
- Numerical Analysis top 10%
- Advanced Optimization Algorithms Research 5
- Environmental Engineering top 5%
- Hydrological Forecasting Using AI 4
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- Optimal Experimental Design Methods 5
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- Metaheuristic Optimization Algorithms Research 6
- Quantum Computing Algorithms and Architecture 2
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- Hydrology and Watershed Management Studies 3
- Co-authors
- Christine A. ShoemakerRobert PichéCharuleka VaradharajanBhavna AroraBoris FaybishenkoReetik Kumar SahuJangho ParkD. Agarwal
- Cited by
- Computational Theory and MathematicsStatistics, Probability and UncertaintyNumerical Analysis
- Journals
- SHILAP Revista de lepidopterología (1 paper)European Journal of Operational Research (1 paper)Computer Physics Communications (1 paper)
- Partner nations
- United StatesUnited KingdomAustria
In The Last Decade
Juliane Müller
27 papers receiving 918 citations
Peers
Comparison fields: 5 of 92
- Computational Theory and Mathematics 350
- Statistics, Probability and Uncertainty 117
- Numerical Analysis 73
- Environmental Engineering 176
- Management Science and Operations Research 142
Countries citing papers authored by Juliane Müller
This map shows the geographic impact of Juliane Müller'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 Juliane Müller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juliane Müller more than expected).
Fields of papers citing papers by Juliane Müller
This network shows the impact of papers produced by Juliane Müller. 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 Juliane Müller. The network helps show where Juliane Müller may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Juliane Müller, 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 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2022 | 56 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 30 | |
| 8 | 2021 | 13 | |
| 9 | 2020 | 70 | |
| 10 | 2020 | 34 | |
| 11 | 2020 | 11 | |
| 12 | 2019 | 5 | |
| 13 | 2019 | 0 | |
| 14 | 2017 | 52 | |
| 15 | 2017 | 26 | |
| 16 | 2015 | 37 | |
| 17 | 2015 | 54 | |
| 18 | 2014 | 116 | |
| 19 | Surrogate Model Algorithms for Computationally Expensive Black-Box Global Optimization Problems | 2012 | 9 |
| 20 | 2010 | 84 |
About Juliane Müller
Juliane Müller is a scholar working on Acoustics and Ultrasonics, Statistics, Probability and Uncertainty and Numerical Analysis, having authored 30 papers that have together received 947 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (13 papers), Probabilistic and Robust Engineering Design (7 papers), Metaheuristic Optimization Algorithms Research (6 papers), Advanced Optimization Algorithms Research (5 papers), Optimal Experimental Design Methods (5 papers), Hydrological Forecasting Using AI (4 papers), Hydrology and Watershed Management Studies (3 papers) and Quantum Computing Algorithms and Architecture (2 papers). The work is most often cited by research in Computational Theory and Mathematics (350 citations), Statistics, Probability and Uncertainty (117 citations) and Numerical Analysis (73 citations). Juliane Müller has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Christine A. Shoemaker, Robert Piché, Charuleka Varadharajan, Bhavna Arora, Boris Faybishenko, Reetik Kumar Sahu, Jangho Park, D. Agarwal, Wibe A. de Jong and Marc Day. Their work appears in journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Computer Physics Communications.
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.