The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where John N. Shadid sits on this spectrum.
This scientist: 148 publications — 37th percentile
37% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 537 publications or more.
The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where John N. Shadid sits on this spectrum.
This scientist: 38 D-Index — 37th percentile
37% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 86 D-Index or more.
John N. Shadid is affiliated with Sandia National Laboratories in the United States. Their research output primarily focuses on engineering with a strong emphasis on computational mechanics. Their work spans several subfields, including computational theory and mathematics, numerical analysis, electrical and electronic engineering, and nuclear and high energy physics.
The main topics addressed in their publications cover advanced numerical methods in computational mathematics, computational fluid dynamics and aerodynamics, numerical methods for differential equations, electromagnetic simulation and numerical methods, advanced mathematical modeling in engineering, matrix theory and algorithms, and magnetic confinement fusion research.
Frequent co-authors in their research include Tan Bui-Thanh, Roger P. Pawlowski, Sidafa Conde, Ignacio Tomaš, and Michael Crockatt.
John N. Shadid has published regularly in venues such as:
Selected recent papers include:
Their research has garnered recognition in the form of distinguished awards, such as the Thomas J.R. Hughes Medal in 2019, awarded for contributions to large-scale parallel multiphysics CFD solution methods, HPC computing algorithms/software, and numerical methods for coupled nonlinear partial differential equations. Additionally, they were named a SIAM Fellow in 2018 for their work on solution methods for multiphysics systems, scalable parallel numerical algorithms, and numerical methods addressing strongly coupled nonlinear partial differential equations.
David E Keyes;Lois C Mcinnes;Carol Woodward;William Gropp
Howard Elman;Victoria E. Howle;John Shadid;Robert Shuttleworth
Max D. Gunzburger;Janet S. Peterson;John N. Shadid
Howard Elman;V.E. Howle;John Shadid;Robert Shuttleworth
David L. Alumbaugh;Gregory A. Newman;Lydie Prevost;John N. Shadid
Pavel B. Bochev;Max D. Gunzburger;John N. Shadid
Shawn Means;Alexander J. Smith;Jason Shepherd;John Shadid
Leighton T. Izu;Shawn A. Means;John N. Shadid;Ye Chen-Izu
Teri Barth;Pavel Bochev;Max Gunzburger;John Shadid
J. N. Shadid;R. P. Pawlowski;J. W. Banks;L. Chacón
David L. Ropp;John N. Shadid;Curtis C. Ober
G. Scovazzi;M. A. Christon;Thomas J Hughes;J. N. Shadid
John N. Shadid;Ray S. Tuminaro;Homer F. Walker
R. P. Pawlowski;A. G. Salinger;J. N. Shadid;T. J. Mountziaris
Roger P. Pawlowski;John N. Shadid;Joseph P. Simonis;Homer F. Walker
John N. Shadid;John N. Shadid;Roger P. Pawlowski;Eric C Cyr;Raymond S. Tuminaro
R.P Pawlowski;R.P Pawlowski;C Theodoropoulos;A.G Salinger;T.J Mountziaris
Howard C. Elman;Victoria E. Howle;John N. Shadid;Ray S. Tuminaro
Howard Elman;Victoria E. Howle;John Shadid;David Silvester
Eric C. Cyr;John N Shadid;Raymond S. Tuminaro;Roger P. Pawlowski
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