Lina von Sydow

25 papers and 399 indexed citations i.

About

Lina von Sydow is a scholar working on Finance, Computational Mechanics and Numerical Analysis. According to data from OpenAlex, Lina von Sydow has authored 25 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Finance, 8 papers in Computational Mechanics and 7 papers in Numerical Analysis. Recurrent topics in Lina von Sydow’s work include Stochastic processes and financial applications (13 papers), Advanced Numerical Methods in Computational Mathematics (7 papers) and Differential Equations and Numerical Methods (5 papers). Lina von Sydow is often cited by papers focused on Stochastic processes and financial applications (13 papers), Advanced Numerical Methods in Computational Mathematics (7 papers) and Differential Equations and Numerical Methods (5 papers). Lina von Sydow collaborates with scholars based in Sweden, United States and United Kingdom. Lina von Sydow's co-authors include Jonas Persson, Jari Toivanen, Per Lötstedt, Elisabeth Larsson, Alison Ramage, Johan Tysk, Alfa Heryudono, J. Toivanen, Jamal Amani Rad and Johan Waldén and has published in prestigious journals such as Journal of Computational Physics, Quaternary Science Reviews and SIAM Journal on Scientific Computing.

In The Last Decade

Co-authorship network of co-authors of Lina von Sydow i

Fields of papers citing papers by Lina von Sydow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lina von Sydow. 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 Lina von Sydow. The network helps show where Lina von Sydow may publish in the future.

Countries citing papers authored by Lina von Sydow

Since Specialization
Citations

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

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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2025