ProfessorsProfessors of Uppsala UniversitetLina von Sydow

Lina von Sydow

Uppsala Universitet

H-index: 17

Europe-Sweden

About Lina von Sydow

Lina von Sydow, With an exceptional h-index of 17 and a recent h-index of 11 (since 2020), a distinguished researcher at Uppsala Universitet, specializes in the field of Scientific Computing, Computational Finance, Ice-sheet modeling.

His recent articles reflect a diverse array of research interests and contributions to the field:

Department of Information Technology, Uppsala University, Sweden

A high order method for pricing of financial derivatives using radial basis function generated finite differences

A full Stokes subgrid scheme in two dimensions for simulation of grounding line migration in ice sheets using Elmer/ICE (v8. 3)

Numerical Ross recovery for diffusion processes using a PDE approach

Lina von Sydow Information

University	Uppsala Universitet
Position	Professor of Scientific Computing Department of Information Technology
Citations(all)	882
Citations(since 2020)	316
Cited By	749
hIndex(all)	17
hIndex(since 2020)	11
i10Index(all)	27
i10Index(since 2020)	11
Email	Access Email
University Profile Page	Uppsala Universitet
Google Scholar	View Google Scholar Profile

Lina von Sydow Skills & Research Interests

Scientific Computing

Computational Finance

Ice-sheet modeling

Top articles of Lina von Sydow

Title	Journal	Author(s)	Publication Date
Department of Information Technology, Uppsala University, Sweden		Torbjörn Wigren	2020/12/22
A high order method for pricing of financial derivatives using radial basis function generated finite differences	Mathematics and Computers in Simulation	Slobodan Milovanović Lina von Sydow	2020/8/1
A full Stokes subgrid scheme in two dimensions for simulation of grounding line migration in ice sheets using Elmer/ICE (v8. 3)	Geoscientific Model Development	Gong Cheng Per Lötstedt Lina von Sydow	2020/5/13
Numerical Ross recovery for diffusion processes using a PDE approach	Applied Mathematical Finance	Lina von Sydow Johan Walden	2020/3/3