Bradley Mallison

1.5k total citations
56 papers, 1.1k citations indexed

About

Bradley Mallison is a scholar working on Ocean Engineering, Mechanical Engineering and Computational Mechanics. According to data from OpenAlex, Bradley Mallison has authored 56 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Ocean Engineering, 24 papers in Mechanical Engineering and 23 papers in Computational Mechanics. Recurrent topics in Bradley Mallison's work include Reservoir Engineering and Simulation Methods (26 papers), Hydraulic Fracturing and Reservoir Analysis (24 papers) and Advanced Numerical Methods in Computational Mathematics (20 papers). Bradley Mallison is often cited by papers focused on Reservoir Engineering and Simulation Methods (26 papers), Hydraulic Fracturing and Reservoir Analysis (24 papers) and Advanced Numerical Methods in Computational Mathematics (20 papers). Bradley Mallison collaborates with scholars based in United States, Netherlands and Norway. Bradley Mallison's co-authors include Hamdi A. Tchelepi, Mun-Hong Hui, Margot Gerritsen, Wayne Narr, Jan M. Nordbotten, G. T. Eigestad, I. Aavatsmark, Ali Moinfar, Seong H. Lee and Jeremy E. Kozdon and has published in prestigious journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and SPE Journal.

In The Last Decade

Bradley Mallison

52 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bradley Mallison United States 18 630 572 452 303 239 56 1.1k
Larry S. Fung United States 16 622 1.0× 460 0.8× 264 0.6× 136 0.4× 100 0.4× 43 882
Olav Møyner Norway 18 627 1.0× 405 0.7× 452 1.0× 350 1.2× 428 1.8× 78 1.1k
Ivar Aavatsmark Norway 11 254 0.4× 217 0.4× 488 1.1× 201 0.7× 230 1.0× 32 823
G. T. Eigestad Norway 14 259 0.4× 240 0.4× 576 1.3× 298 1.0× 211 0.9× 23 948
Peter H. Sammon United States 17 511 0.8× 369 0.6× 347 0.8× 365 1.2× 151 0.6× 45 1.0k
T. Barkve Germany 8 329 0.5× 241 0.4× 663 1.5× 129 0.4× 277 1.2× 9 973
Mayur Pal Lithuania 18 288 0.5× 296 0.5× 343 0.8× 265 0.9× 168 0.7× 95 883
Rami M. Younis United States 17 760 1.2× 808 1.4× 211 0.5× 285 0.9× 114 0.5× 68 1.2k
Ingeborg Skjelkvåle Ligaarden Norway 6 274 0.4× 215 0.4× 138 0.3× 205 0.7× 103 0.4× 7 505
Jiamin Jiang United States 13 596 0.9× 697 1.2× 94 0.2× 246 0.8× 51 0.2× 38 879

Countries citing papers authored by Bradley Mallison

Since Specialization
Citations

This map shows the geographic impact of Bradley Mallison'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 Bradley Mallison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bradley Mallison more than expected).

Fields of papers citing papers by Bradley Mallison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bradley Mallison. 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 Bradley Mallison. The network helps show where Bradley Mallison may publish in the future.

Co-authorship network of co-authors of Bradley Mallison

This figure shows the co-authorship network connecting the top 25 collaborators of Bradley Mallison. A scholar is included among the top collaborators of Bradley Mallison based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bradley Mallison. Bradley Mallison is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mallison, Bradley, et al.. (2025). An EDFM-MINC Model for Capturing Near-Fracture Physics in Unconventional Reservoirs. SPE Reservoir Simulation Conference. 1 indexed citations
2.
Hui, Mun-Hong, et al.. (2023). A Hybrid Embedded Discrete Fracture Model and Dual-Porosity, Dual-Permeability Workflow for Hierarchical Treatment of Fractures in Practical Field Studies. SPE Reservoir Evaluation & Engineering. 26(3). 888–904. 3 indexed citations
3.
4.
Hamon, François P. & Bradley Mallison. (2019). Fully Implicit multidimensional Hybrid Upwind scheme for coupled flow and transport. Computer Methods in Applied Mechanics and Engineering. 358. 112606–112606. 11 indexed citations
5.
Mallison, Bradley, et al.. (2019). Multifidelity framework for uncertainty quantification with multiple quantities of interest. Computational Geosciences. 24(2). 761–773. 2 indexed citations
6.
Thomas, Sunil, et al.. (2019). Recent Developments in Unstructured Aggregation-Based Upscaling for Simulation Workflows and Applications. SPE Reservoir Simulation Conference. 9 indexed citations
7.
Hui, Mun-Hong, M. Karimi‐Fard, Bradley Mallison, & Louis J. Durlofsky. (2018). A General Modeling Framework for Simulating Complex Recovery Processes in Fractured Reservoirs at Different Resolutions. SPE Journal. 23(2). 598–613. 39 indexed citations
8.
Hamon, François P., Bradley Mallison, & Hamdi A. Tchelepi. (2017). Implicit Hybrid Upwinding for two-phase flow in heterogeneous porous media with buoyancy and capillarity. Computer Methods in Applied Mechanics and Engineering. 331. 701–727. 26 indexed citations
9.
Hui, Mun-Hong, M. Karimi‐Fard, Bradley Mallison, & Louis J. Durlofsky. (2017). A General Modeling Framework for Simulating Complex Recovery Processes in Fractured Reservoirs at Different Resolutions. SPE Reservoir Simulation Conference. 3 indexed citations
10.
Hamon, François P., Bradley Mallison, & Hamdi A. Tchelepi. (2016). Implicit Hybrid Upwind scheme for coupled multiphase flow and transport with buoyancy. Computer Methods in Applied Mechanics and Engineering. 311. 599–624. 27 indexed citations
11.
Terekhov, Kirill M., Bradley Mallison, & Hamdi A. Tchelepi. (2016). Cell-centered nonlinear finite-volume methods for the heterogeneous anisotropic diffusion problem. Journal of Computational Physics. 330. 245–267. 61 indexed citations
12.
Hui, Mun-Hong, et al.. (2013). The Upscaling of Discrete Fracture Models for Faster, Coarse-Scale Simulations of IOR and EOR Processes for Fractured Reservoirs. SPE Annual Technical Conference and Exhibition. 36 indexed citations
13.
Mallison, Bradley, et al.. (2010). Practical Gridding Algorithms for Discrete Fracture Modeling Workflows. Proceedings. 32 indexed citations
14.
Lim, Kok-Thye, Mun-Hong Hui, & Bradley Mallison. (2009). A Next-Generation Reservoir Simulator as an Enabling Technology for a Complex Discrete Fracture Modeling Workflow. SPE Annual Technical Conference and Exhibition. 14 indexed citations
15.
Mallison, Bradley, et al.. (2008). An Innovative Workflow to Model Fractures in a Giant Carbonate Reservoir. 7 indexed citations
16.
Mallison, Bradley, Margot Gerritsen, & Gunilla Kreiss. (2008). Asynchronous Time Integration of Flux-conservative Transport. Proceedings.
17.
18.
Gerritsen, Margot, Kristian Jessen, Bradley Mallison, & James V. Lambers. (2005). A Fully Adaptive Streamline Framework for the Challenging Simulation of Gas-Injection Processes. SPE Annual Technical Conference and Exhibition. 13 indexed citations
19.
Gerritsen, Margot & Bradley Mallison. (2004). Streamline-based simulation of two-phase, multicomponent flow in porous media. 13 indexed citations
20.
Mallison, Bradley, Margot Gerritsen, Kristian Jessen, & Franklin M. Orr. (2003). High Order Upwind Schemes for Two-Phase, Multicomponent Flow. 13 indexed citations

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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