Daniel O’Malley
- Environmental Engineering top 2%
- Groundwater flow and contamination studies 36
- Ocean Engineering top 2%
- Reservoir Engineering and Simulation Methods 13
- Computational Mathematics top 10%
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- Model Reduction and Neural Networks 11
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- Hydraulic Fracturing and Reservoir Analysis 21
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- Quantum Computing Algorithms and Architecture 15
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- Seismic Imaging and Inversion Techniques 12
- Geophysical and Geoelectrical Methods 8
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- Fractional Differential Equations Solutions 8
- Co-authors
- Velimir V. VesselinovHari ViswanathanSatish KarraJohn H. CushmanJeffrey D. HymanG. SrinivasanBoian S. AlexandrovEsteban Rougier
- Journals
- Scientific Reports (13 papers)Water Resources Research (12 papers)Advances in Water Resources (5 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Daniel O’Malley
100 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 107
- Environmental Engineering 476
- Ocean Engineering 319
- Computational Mathematics 12
- Statistics, Probability and Uncertainty 135
- Statistical and Nonlinear Physics 231
Countries citing papers authored by Daniel O’Malley
This map shows the geographic impact of Daniel O’Malley'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 Daniel O’Malley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel O’Malley more than expected).
Fields of papers citing papers by Daniel O’Malley
This network shows the impact of papers produced by Daniel O’Malley. 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 Daniel O’Malley. The network helps show where Daniel O’Malley may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel O’Malley, 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 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 2 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 28 | |
| 11 | 2023 | 24 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 12 | |
| 14 | 2022 | 10 | |
| 15 | Physics-Informed Machine Learning for Real-time Reservoir Management. | 2020 | 3 |
| 16 | Semi-supervised Machine Learning for Analysis of Hydrogeochemical Data and Models | 2017 | 1 |
| 17 | Model Analysis of Complex Systems Behavior using MADS | 2016 | 2 |
| 18 | 2016 | 20 | |
| 19 | 2016 | 123 | |
| 20 | A Computationally Efficient Parallel Levenberg-Marquardt Algorithm for Large-Scale Big-Data Inversion | 2015 | 1 |
About Daniel O’Malley
Daniel O’Malley is a scholar working on Computational Mathematics, Environmental Engineering, Statistical and Nonlinear Physics, Modeling and Simulation and Ocean Engineering, having authored 106 papers that have together received 1.6k indexed citations. Recurring topics across this work include Groundwater flow and contamination studies (36 papers), Hydraulic Fracturing and Reservoir Analysis (21 papers), Quantum Computing Algorithms and Architecture (15 papers), Reservoir Engineering and Simulation Methods (13 papers), Seismic Imaging and Inversion Techniques (12 papers), Model Reduction and Neural Networks (11 papers), Geophysical and Geoelectrical Methods (8 papers) and Fractional Differential Equations Solutions (8 papers). The work is most often cited by research in Environmental Engineering (476 citations), Ocean Engineering (319 citations), Computational Mathematics (12 citations), Statistics, Probability and Uncertainty (135 citations) and Statistical and Nonlinear Physics (231 citations). Daniel O’Malley has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Velimir V. Vesselinov, Hari Viswanathan, Satish Karra, John H. Cushman, Jeffrey D. Hyman, G. Srinivasan, Boian S. Alexandrov, Esteban Rougier, John Golden and Teeratorn Kadeethum. Their work appears in journals such as Scientific Reports, Water Resources Research, Advances in Water Resources, Computational Materials Science and Journal of Statistical Physics.
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.