Daniel Graves

1.7k total citations · 1 hit paper
23 papers, 1.1k citations indexed

About

Daniel Graves is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design and Computer Networks and Communications. According to data from OpenAlex, Daniel Graves has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Mechanics, 3 papers in Computer Graphics and Computer-Aided Design and 2 papers in Computer Networks and Communications. Recurrent topics in Daniel Graves's work include Advanced Numerical Methods in Computational Mathematics (13 papers), Computational Fluid Dynamics and Aerodynamics (13 papers) and Lattice Boltzmann Simulation Studies (5 papers). Daniel Graves is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (13 papers), Computational Fluid Dynamics and Aerodynamics (13 papers) and Lattice Boltzmann Simulation Studies (5 papers). Daniel Graves collaborates with scholars based in United States, United Kingdom and Canada. Daniel Graves's co-authors include Phillip Colella, Daniel Martín, David Modiano, John B. Bell, Ann Almgren, Brian Van Straalen, A. M. Le Brocq, Stephen Cornford, A. J. Payne and Esmond Ng and has published in prestigious journals such as Journal of Computational Physics, SIAM Journal on Scientific Computing and Journal of Parallel and Distributed Computing.

In The Last Decade

Daniel Graves

22 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

AMReX: a framework for block-structured adaptive mesh refinement

2019 287 citations Weiqun Zhang, Ann Almgren et al. The Journal of Open Source Software profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Graves United States	11	514	191	140	110	102	23	1.1k
Hans Johansen United States	14	618 1.2×	124 0.6×	145 1.0×	55 0.5×	127 1.2×	49	1.1k
Michael L. Minion United States	22	1.9k 3.6×	130 0.7×	41 0.3×	162 1.5×	25 0.2×	44	2.4k
Raymond S. Tuminaro United States	23	836 1.6×	111 0.6×	72 0.5×	39 0.4×	99 1.0×	59	1.2k
Massimiliano Fatica United States	21	801 1.6×	70 0.4×	241 1.7×	213 1.9×	258 2.5×	47	1.4k
David Moxey United Kingdom	18	1.4k 2.6×	68 0.4×	71 0.5×	242 2.2×	43 0.4×	44	1.7k
Louis H. Howell United States	17	1.3k 2.5×	116 0.6×	94 0.7×	143 1.3×	63 0.6×	28	2.5k
Richard D. Hornung United States	9	580 1.1×	15 0.1×	109 0.8×	148 1.3×	97 1.0×	13	911
Roland A. Sweet United States	15	575 1.1×	81 0.4×	51 0.4×	87 0.8×	51 0.5×	25	1.0k
Matthew G. Knepley United States	17	300 0.6×	34 0.2×	70 0.5×	48 0.4×	76 0.7×	65	1.0k
Omar Ghattas United States	20	461 0.9×	81 0.4×	54 0.4×	66 0.6×	60 0.6×	38	1.5k

Countries citing papers authored by Daniel Graves

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Graves

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Graves

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Graves. A scholar is included among the top collaborators of Daniel Graves 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 Daniel Graves. Daniel Graves is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Gao, Xinfeng, et al.. (2023). A Fourth-Order Embedded Boundary Finite Volume Method for the Unsteady Stokes Equations with Complex Geometries. SIAM Journal on Scientific Computing. 45(5). A2409–A2430. 3 indexed citations

Almgren, Ann, Vince Beckner, Cy Chan, et al.. (2019). AMReX-Codes/amrex: AMReX 19.05.1. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations

Zhang, Weiqun, Ann Almgren, Vince Beckner, et al.. (2019). AMReX: a framework for block-structured adaptive mesh refinement. The Journal of Open Source Software. 4(37). 1370–1370. 287 indexed citations breakdown →

Kurte, Kuldeep, Jibonananda Sanyal, Andy Berres, et al.. (2019). Performance analysis and optimization for scalable deployment of deep learning models for country‐scale settlement mapping on Titan supercomputer. Concurrency and Computation Practice and Experience. 31(20). 7 indexed citations

Stillman, Michael, S. R. Williams, & Daniel Graves. (2017). ‘Problematic methodology’. Spinal Cord Series and Cases. 3(1). 16028–16028.

Graves, Daniel, et al.. (2017). A fourth-order Cartesian grid embedded boundary method for Poisson’s equation. Project Euclid (Cornell University). 12(1). 51–79. 15 indexed citations

Dubey, Anshu, Hajime Fujita, Daniel Graves, Andrew A. Chien, & Devesh Tiwari. (2016). Granularity and the Cost of Error Recovery in Resilient AMR Scientific Applications. 492–501. 3 indexed citations

Molins, Sergi, Marc Day, D. Trebotich, & Daniel Graves. (2015). Adaptive Mesh Refinement in Reactive Transport Modeling of Subsurface Environments. AGU Fall Meeting Abstracts. 2015. 2 indexed citations

Trebotich, David & Daniel Graves. (2015). An adaptive finite volume method for the incompressible Navier–Stokes equations in complex geometries. Project Euclid (Cornell University). 10(1). 43–82. 36 indexed citations

10.

Weber, Gunther H., Hans Johansen, Daniel Graves, & Terry J. Ligocki. (2014). Simulating Urban Environments for Energy Analysis. Eurographics. 1 indexed citations

11.

Adams, M. R., Phillip Colella, Daniel Graves, et al.. (2014). Chombo Software Package for AMR Applications Design Document. 143 indexed citations

12.

Graves, Daniel, Phillip Colella, David Modiano, et al.. (2013). A cartesian grid embedded boundary method for the compressible Navier–Stokes equations. Project Euclid (Cornell University). 8(1). 99–122. 19 indexed citations

13.

Cornford, Stephen, Daniel Martín, Daniel Graves, et al.. (2012). Adaptive mesh, finite volume modeling of marine ice sheets. Journal of Computational Physics. 232(1). 529–549. 179 indexed citations

14.

Graves, Daniel, D. Trebotich, Gregory H. Miller, & Phillip Colella. (2008). An efficient solver for the equations of resistive MHD with spatially-varying resistivity. Journal of Computational Physics. 227(10). 4797–4804. 5 indexed citations

15.

Colella, Phillip, Daniel Graves, Terry J. Ligocki, D. Trebotich, & Brian Van Straalen. (2008). Embedded boundary algorithms and software for partial differential equations. Journal of Physics Conference Series. 125. 12084–12084. 5 indexed citations

16.

Trebotich, D., Brian Van Straalen, Daniel Graves, & Phil Colella. (2008). Performance of embedded boundary methods for CFD with complex geometry. Journal of Physics Conference Series. 125. 12083–12083. 10 indexed citations

17.

Martín, Daniel, Phillip Colella, & Daniel Graves. (2007). A Cell-Centered Adaptive Projection Method for the Incompressible Navier-Stokes Equations \nin Three Dimensions. eScholarship (California Digital Library). 69 indexed citations

18.

Martín, Daniel, Phillip Colella, & Daniel Graves. (2007). A cell-centered adaptive projection method for the incompressible Navier–Stokes equations in three dimensions. Journal of Computational Physics. 227(3). 1863–1886. 3 indexed citations

19.

Colella, Phillip, et al.. (2005). A Cartesian grid embedded boundary method for hyperbolic conservation laws. Journal of Computational Physics. 211(1). 347–366. 155 indexed citations

20.

Trebotich, D., Gregory H. Miller, P. Colella, et al.. (2004). A Tightly Coupled Particle-Fluid Model for DNA-Laden Flows in Complex Microscale Geometries. University of North Texas Digital Library (University of North Texas). 14 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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