Daniel O’Malley

2.9k citations
121 papers · 2.2k · h-index 27

Impact in

Papers in

Daniel O’Malley

113 papers receiving 2.1k citations

Peers

Daniel O’Malley
Comparison fields: 5 of 93
  • Environmental Engineering 507
  • Statistical and Nonlinear Physics 332
  • Modeling and Simulation 122
  • Ocean Engineering 221
  • Artificial Intelligence 485
Replace Yalchin R. Efendiev with:
Yalchin R. Efendiev United States
Velimir V. Vesselinov United States
Satish Karra United States
Mary F. Wheeler United States
Fangxin Fang United Kingdom
George Deodatis United States
Knut‐Andreas Lie Norway
Haibin Chang China
Yuntian Chen China
Stephen Roberts Australia
Daniel O’Malley relative to Yalchin R. Efendiev United States Yalchin R. Efendiev's profile →
Citations per field
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Yalchin R. Efendiev · 1×
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 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016135
2 202298
3 201891
4 201883
5 201679
6 201872
7 202169
8 201866
9 202258
10 202356
11 201755
12 201553
13 202151
14 201849
15 200944
16 201844
17 201840
18 201840
19 202137
20 201834

About Daniel O’Malley

Daniel O’Malley is a scholar working on Environmental Engineering, Statistical and Nonlinear Physics, Modeling and Simulation, Ocean Engineering and Artificial Intelligence, having authored 121 papers that have together received 2.2k indexed citations. Recurring topics across this work include Groundwater flow and contamination studies (28 papers), Model Reduction and Neural Networks (24 papers), Quantum Computing Algorithms and Architecture (23 papers), Reservoir Engineering and Simulation Methods (16 papers), Fractional Differential Equations Solutions (15 papers), Hydraulic Fracturing and Reservoir Analysis (9 papers), Machine Learning in Materials Science (7 papers) and CO2 Sequestration and Geologic Interactions (5 papers). The work is most often cited by research in Environmental Engineering (507 citations), Statistical and Nonlinear Physics (332 citations), Modeling and Simulation (122 citations), Ocean Engineering (221 citations) and Artificial Intelligence (485 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, John Howard Cushman, Satish Karra, Jeffrey De'Haven Hyman, Gowri Srinivasan, Boian S. Alexandrov, John K. Golden, Esteban Rougier and Teeratorn Kadeethum. Their work appears in journals such as Scientific Reports, Water Resources Research, Computational Materials Science, Advances in Water Resources 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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