Johan E. Hake
2015–2017
A researcher in the Science corpus: 2 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Johan E. Hake trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Johan E. Hake's perspective
Ordered by how strongly the researchers Johan E. Hake trusts endorse each paper. Same corpus, a different order for every researcher.
- Computing the electrical activity in the heart
- Automated Derivation of the Adjoint of High-Level Transient Finite Element Programs
- A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs
- The NumPy Array: A Structure for Efficient Numerical Computation
- Algorithm 832: UMFPACK V4.3---an unsymmetric-pattern multifrontal method (TOMS)
- TetGen, a Delaunay-Based Quality Tetrahedral Mesh Generator (ACM Transactions on Mathematical Software)
- Parallel distributed computing using Python
- SLEPc: A scalable and flexible toolkit for the solution of eigenvalue problems (TOMS)
- Boost C++ Libraries
- MPFR: A multiple-precision binary floating-point library with correct rounding (TOMS)
Their papers
- The FEniCS Project Version 1.5 (2015) — 2,471 citations
- Cbcbeat: an Adjoint-enabled Framework for Computational Cardiac Electrophysiology (2017) — 17 citations