Daniel O’Malley

103 papers receiving 1.7k citations

Peers

Daniel O’Malley
Comparison fields: 5 of 109
  • Environmental Engineering 500
  • Computational Mathematics 16
  • Ocean Engineering 331
  • Statistical and Nonlinear Physics 255
  • Statistics, Probability and Uncertainty 141
Replace F. R. de Hoog with:
F. R. de Hoog Australia
Jocelyne Erhel France
Xiaodong Luo Norway
Gianmarco Manzini Italy
Yalchin Efendiev United States
Omar Ghattas United States
Yinhao Zhu United States
Robert Eymard France
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Citations per year

Countries citing papers authored by Daniel O’Malley

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Daniel O’Malley Line = papers co-authored together Daniel O’Malley links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016127
2 201877
3 201676
4 201874
5 202169
6 201863
7 201862
8 201553
9 202253
10 201751
11 201846
12 200944
13 201840
14 202338
15 201838
16 201837
17 202136
18 202130
19 201829
20 201729

About Daniel O’Malley

Daniel O’Malley is a scholar working on Environmental Engineering, Artificial Intelligence, Statistical and Nonlinear Physics, Mechanical Engineering and Ocean Engineering, having authored 109 papers that have together received 1.8k indexed citations. Recurring topics across this work include Groundwater flow and contamination studies (37 papers), Hydraulic Fracturing and Reservoir Analysis (21 papers), Quantum Computing Algorithms and Architecture (16 papers), Seismic Imaging and Inversion Techniques (13 papers), Reservoir Engineering and Simulation Methods (13 papers), Model Reduction and Neural Networks (12 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 (500 citations), Computational Mathematics (16 citations), Ocean Engineering (331 citations), Statistical and Nonlinear Physics (255 citations) and Statistics, Probability and Uncertainty (141 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, Jeffrey D. Hyman, John H. Cushman, 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 Geophysical Research Letters.

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.

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