Paul Lin

707 total citations
32 papers, 448 citations indexed

About

Paul Lin is a scholar working on Hardware and Architecture, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, Paul Lin has authored 32 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Hardware and Architecture, 16 papers in Computational Mechanics and 14 papers in Computational Theory and Mathematics. Recurrent topics in Paul Lin's work include Parallel Computing and Optimization Techniques (18 papers), Matrix Theory and Algorithms (14 papers) and Advanced Numerical Methods in Computational Mathematics (13 papers). Paul Lin is often cited by papers focused on Parallel Computing and Optimization Techniques (18 papers), Matrix Theory and Algorithms (14 papers) and Advanced Numerical Methods in Computational Mathematics (13 papers). Paul Lin collaborates with scholars based in United States, Germany and Switzerland. Paul Lin's co-authors include John N. Shadid, Raymond S. Tuminaro, Roger P. Pawlowski, Marzio Sala, Richard Frederick Barrett, Michael A. Heroux, Luis Chacòn, Jeffrey W. Banks, Ray Tuminaro and Douglas W. Doerfler and has published in prestigious journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and International Journal for Numerical Methods in Engineering.

In The Last Decade

Paul Lin

32 papers receiving 419 citations

Peers

Countries citing papers authored by Paul Lin

Since Specialization

Citations

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

Fields of papers citing papers by Paul Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Lin

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Integrating batched sparse iterative solvers for the collision operator in fusion plasma simulations on GPUs 2023 ·Journal of Parallel and Distributed Computing ·(unknown), (unknown), (unknown), Aaron Scheinberg, Paul Lin, Hartwig Anzt	2
2	Newly Released Capabilities in the Distributed-Memory SuperLU Sparse Direct Solver 2022 ·ACM Transactions on Mathematical Software ·Xiaoye Sherry Li, Paul Lin, (unknown), (unknown)	10
3	An Extended Roofline Performance Model with PCI-E and Network Ceilings 2021 ·(unknown), Jack Deslippe, Paul Lin, (unknown), Brandon Cook, Jonathan Madsen	4
4	Design for a Squirrel Cage Fan with Double Arc Blade 2020 ·Journal of Applied Fluid Mechanics ·(unknown), Hua-Shu Dou, Paul Lin, Yikun Wei, (unknown), (unknown), (unknown)	10
5	On the performance of Krylov smoothing for fully coupled AMG preconditioners for VMS resistive MHD 2019 ·International Journal for Numerical Methods in Engineering ·Paul Lin, John N. Shadid, (unknown)	2
6	Performance of fully-coupled algebraic multigrid preconditioners for large-scale VMS resistive MHD 2017 ·Journal of Computational and Applied Mathematics ·Paul Lin, John N. Shadid, Jonathan Joseph Hu, Roger P. Pawlowski, Eric C. Cyr	14
7	CFD for Next Generation Hardware: Experiences with Proxy Applications 2015 ·OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) ·(unknown), Travis C. Fisher, Paul Lin, (unknown)	4
8	Towards Extreme-Scale Simulations with Next-Generation Trilinos: A Low Mach Fluid Application Case Study 2014 ·OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) ·Paul Lin, (unknown), Stefan P. Domino, Travis C. Fisher, Mark Frederick Hoemmen, Jonathan Joseph Hu, Eric Phipps, (unknown), Sivasankaran Rajamanickam, Christopher Siefert, Eric C. Cyr, (unknown)	7
9	Summary of Work for ASC L2 Milestone 4465: Characterize the Role of the Mini-Application in Predicting Key Performance Characteristics of Real Applications 2012 ·Sandia Report, Richard Frederick Barrett, Paul Crozier, Douglas W. Doerfler, Simon David Hammond, Michael A. Heroux, Paul Lin, Heidi Thornquist, T.G. Trucano	9
10	Improving multigrid performance for unstructured mesh drift–diffusion simulations on 147,000 cores 2012 ·International Journal for Numerical Methods in Engineering ·Paul Lin	11
11	Application‐driven analysis of two generations of capability computing: the transition to multicore processors 2012 ·Concurrency and Computation Practice and Experience ·Mahesh Rajan, Courtenay Vaughan, Douglas W. Doerfler, Richard Frederick Barrett, Paul Lin, Kevin Pedretti, K. Scott Hemmert	4
12	Unprecedented Scalability and Performance of the New NNSA Tri-Lab Linux Capacity Cluster 2 2012 ·Mahesh Rajan, Douglas W. Doerfler, Paul Lin, S.D. Hammond, Richard Frederick Barrett, Courtenay Vaughan	3
13	Performance of a Petrov–Galerkin algebraic multilevel preconditioner for finite element modeling of the semiconductor device drift‐diffusion equations 2010 ·International Journal for Numerical Methods in Engineering ·Paul Lin, John N. Shadid, Ray Tuminaro, Marzio Sala	9
14	A parallel fully coupled algebraic multilevel preconditioner applied to multiphysics PDE applications: Drift‐diffusion, flow/transport/reaction, resistive MHD 2010 ·International Journal for Numerical Methods in Fluids ·Paul Lin, John N. Shadid, Raymond S. Tuminaro, Marzio Sala, (unknown), Roger P. Pawlowski	21
15	Towards large-scale multi-socket, multicore parallel simulations: Performance of an MPI-only semiconductor device simulator 2010 ·Journal of Computational Physics ·Paul Lin, John N. Shadid	16
16	Towards a scalable fully-implicit fully-coupled resistive MHD formulation with stabilized FE methods 2010 ·Journal of Computational Physics ·John N. Shadid, Roger P. Pawlowski, Jeffrey W. Banks, Luis Chacòn, Paul Lin, Raymond S. Tuminaro	68
17	The Red Storm Architecture and Early Experiences with Multi-Core Processors 2010 ·International Journal of Distributed Systems and Technologies ·(unknown), Ron Brightwell, William J. Camp, Sudip S. Dosanjh, Suzanne M. Kelly, Paul Lin, Courtenay Vaughan, John Levesque, Vinod Tipparaju	7
18	Two‐dimensional implicit time‐dependent calculations on adaptive unstructured meshes with time evolving boundaries 2005 ·International Journal for Numerical Methods in Fluids ·Paul Lin, Timothy J. Baker, Luigi Martinelli, Antony Jameson	9
19	Large-scale stabilized FE computational analysis of nonlinear steady state transport/reaction systems. 2004 ·OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) ·Richard B. Lehoucq, John N. Shadid, Paul Lin, (unknown), Andrew G. Salinger, Roger P. Pawlowski, Raymond S. Tuminaro	1
20	Two-dimensional implicit time dependent calculations for incompressible flows on adaptive unstructured meshes 2001 ·15th AIAA Computational Fluid Dynamics Conference ·Paul Lin, Luca Martinelli, Timothy J. Baker, A. Jameson	11

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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