Johan Hoffman

1.9k total citations
78 papers, 956 citations indexed

About

Johan Hoffman is a scholar working on Computational Mechanics, Cardiology and Cardiovascular Medicine and Aerospace Engineering. According to data from OpenAlex, Johan Hoffman has authored 78 papers receiving a total of 956 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computational Mechanics, 10 papers in Cardiology and Cardiovascular Medicine and 10 papers in Aerospace Engineering. Recurrent topics in Johan Hoffman's work include Computational Fluid Dynamics and Aerodynamics (31 papers), Advanced Numerical Methods in Computational Mathematics (27 papers) and Fluid Dynamics and Turbulent Flows (23 papers). Johan Hoffman is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (31 papers), Advanced Numerical Methods in Computational Mathematics (27 papers) and Fluid Dynamics and Turbulent Flows (23 papers). Johan Hoffman collaborates with scholars based in Sweden, United States and Spain. Johan Hoffman's co-authors include Claes Johnson, Johan Jansson, Niclas Jansson, Murtazo Nazarov, Jean‐François Remacle, Anders Logg, Cornelia Bratengeier, Astrid D. Bakker, Anna Fahlgren and Ronald F. Scott and has published in prestigious journals such as Journal of Fluid Mechanics, Journal of Computational Physics and The FASEB Journal.

In The Last Decade

Johan Hoffman

75 papers receiving 885 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Johan Hoffman Sweden 18 677 154 107 85 72 78 956
Andrew Comerford Germany 15 530 0.8× 113 0.7× 85 0.8× 120 1.4× 21 0.3× 31 1.0k
C. Michler United Kingdom 18 865 1.3× 98 0.6× 172 1.6× 169 2.0× 87 1.2× 24 1.3k
Richard D. Hornung United States 9 580 0.9× 148 1.0× 38 0.4× 51 0.6× 63 0.9× 13 911
A. A. Johnson United States 8 1.1k 1.7× 158 1.0× 40 0.4× 104 1.2× 27 0.4× 11 1.3k
Christian H. Whiting United States 8 882 1.3× 131 0.9× 88 0.8× 166 2.0× 18 0.3× 12 1.2k
J.-F. Gerbeau France 4 524 0.8× 67 0.4× 134 1.3× 111 1.3× 19 0.3× 4 764
J.P. Halleux Italy 6 926 1.4× 135 0.9× 99 0.9× 131 1.5× 38 0.5× 16 1.2k
Orlando Javier Soto Sandoval United States 17 413 0.6× 66 0.4× 122 1.1× 50 0.6× 25 0.3× 43 781
Sunil Sathe United States 16 1.3k 1.9× 241 1.6× 121 1.1× 282 3.3× 59 0.8× 27 1.5k
Jason Christopher United States 9 529 0.8× 134 0.9× 41 0.4× 128 1.5× 33 0.5× 20 671

Countries citing papers authored by Johan Hoffman

Since Specialization
Citations

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

Fields of papers citing papers by Johan Hoffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johan Hoffman

This figure shows the co-authorship network connecting the top 25 collaborators of Johan Hoffman. A scholar is included among the top collaborators of Johan Hoffman 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 Johan Hoffman. Johan Hoffman 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.
Karlsson, Mikael, et al.. (2024). Estimation of aortic stiffness by finger photoplethysmography using enhanced pulse wave analysis and machine learning. Frontiers in Cardiovascular Medicine. 11. 1350726–1350726. 5 indexed citations
2.
Hoffman, Johan, et al.. (2023). The triple decomposition of the velocity gradient tensor as a standardized real Schur form. Physics of Fluids. 35(3). 13 indexed citations
3.
Lucor, Didier, et al.. (2022). Computational Analysis of Flow Structures in Turbulent Ventricular Blood Flow Associated With Mitral Valve Intervention. Frontiers in Physiology. 13. 806534–806534. 7 indexed citations
4.
Massing, André, et al.. (2020). A partition of unity approach to fluid mechanics and fluid–structure interaction. Computer Methods in Applied Mechanics and Engineering. 362. 112842–112842. 15 indexed citations
5.
Hoffman, Johan, et al.. (2020). An interface‐tracking unified continuum model for fluid‐structure interaction with topology change and full‐friction contact with application to aortic valves. International Journal for Numerical Methods in Engineering. 122(19). 5258–5278. 12 indexed citations
6.
Jansson, Johan, et al.. (2019). Diffusion MRI simulation in thin-layer and thin-tube media using a discretization on manifolds. Journal of Magnetic Resonance. 299. 176–187. 5 indexed citations
7.
Jansson, Johan, et al.. (2019). Portable simulation framework for diffusion MRI. Journal of Magnetic Resonance. 309. 106611–106611. 5 indexed citations
8.
Jansson, Johan, et al.. (2018). 3D Fluid-Structure Interaction Simulation of Aortic Valves Using a Unified Continuum ALE FEM Model. Frontiers in Physiology. 9. 363–363. 55 indexed citations
9.
Jansson, Johan, et al.. (2015). Adaptive simulation of unsteady flow past the submerged part of a floating wind turbine platform. BIRD (Basque Center for Applied Mathematics). 35–46. 1 indexed citations
10.
Hoffman, Johan, et al.. (2014). Time-resolved adaptive FEM simulation of the DLR-F11 aircraft model at high Reynolds number. 52nd Aerospace Sciences Meeting. 6 indexed citations
11.
12.
Hoffman, Johan, et al.. (2011). UNIFIED CONTINUUM MODELING OF FLUID-STRUCTURE INTERACTION. Mathematical Models and Methods in Applied Sciences. 21(3). 491–513. 18 indexed citations
13.
Hoffman, Johan, et al.. (2008). A General Galerkin Finite Element Method for the Compressible Euler Equations. SIAM Journal on Scientific Computing.
14.
Hoffman, Johan & Claes Johnson. (2008). Resolution of d’Alembert’s Paradox. Journal of Mathematical Fluid Mechanics. 12(3). 321–334. 39 indexed citations
15.
Hoffman, Johan. (2006). Simulating Drag Crisis for a Sphere Using Skin Friction Boundary Conditions. Research Repository (Delft University of Technology). 5 indexed citations
16.
Hoffman, Johan & Claes Johnson. (2005). Stability of the dual Navier–Stokes equations and efficient computation of mean output in turbulent flow using adaptive DNS/LES. Computer Methods in Applied Mechanics and Engineering. 195(13-16). 1709–1721. 17 indexed citations
17.
Hoffman, Johan. (2005). Computation of Mean Drag for Bluff Body Problems Using Adaptive DNS/LES. SIAM Journal on Scientific Computing. 27(1). 184–207. 42 indexed citations
18.
Hoffman, Johan, Claes Johnson, & Anders Logg. (2004). Dreams of Calculus: Perspectives on Mathematics Education. CERN Document Server (European Organization for Nuclear Research). 3 indexed citations
19.
Hoffman, Johan. (2002). Computational Modeling of Complex Flows. Chalmers Publication Library (Chalmers University of Technology). 2 indexed citations
20.
Hoffman, Johan, et al.. (1988). Low Density Real Gas Flows about Hypersonic Vehicles.. Defense Technical Information Center (DTIC). 88. 28253. 1 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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