Kaj Nyström

2.7k total citations · 1 hit paper
107 papers, 1.6k citations indexed

About

Kaj Nyström is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Mathematical Physics. According to data from OpenAlex, Kaj Nyström has authored 107 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Applied Mathematics, 66 papers in Computational Theory and Mathematics and 29 papers in Mathematical Physics. Recurrent topics in Kaj Nyström's work include Advanced Mathematical Modeling in Engineering (56 papers), Nonlinear Partial Differential Equations (53 papers) and Advanced Harmonic Analysis Research (29 papers). Kaj Nyström is often cited by papers focused on Advanced Mathematical Modeling in Engineering (56 papers), Nonlinear Partial Differential Equations (53 papers) and Advanced Harmonic Analysis Research (29 papers). Kaj Nyström collaborates with scholars based in Sweden, United States and Italy. Kaj Nyström's co-authors include Jens Berg, John L. Lewis, Peter Fritzson, Peter Aronsson, Levon Saldamli, David Broman, Adrian Pop, Steve Hofmann, Sergio Polidoro and Niklas L. P. Lundström and has published in prestigious journals such as Journal of Computational Physics, Journal of Banking & Finance and Journal of the Operational Research Society.

In The Last Decade

Kaj Nyström

99 papers receiving 1.5k citations

Hit Papers

A unified deep artificial neural network approach to part... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaj Nyström Sweden 19 707 658 416 360 212 107 1.6k
Murali Rao United States 15 862 1.2× 1.1k 1.6× 206 0.5× 483 1.3× 100 0.5× 64 2.2k
Erich Novak Germany 22 713 1.0× 636 1.0× 217 0.5× 166 0.5× 482 2.3× 84 2.5k
Pierre Cardaliaguet France 26 549 0.8× 592 0.9× 161 0.4× 330 0.9× 140 0.7× 104 2.0k
Frances Y. Kuo Australia 24 397 0.6× 492 0.7× 212 0.5× 70 0.2× 441 2.1× 69 2.3k
Klaus Ritter Germany 21 735 1.0× 282 0.4× 207 0.5× 99 0.3× 385 1.8× 95 2.3k
Arrigo Cellina Italy 20 1.7k 2.4× 1.5k 2.3× 324 0.8× 392 1.1× 122 0.6× 86 3.6k
George A. Anastassiou United States 27 179 0.3× 1.4k 2.2× 264 0.6× 172 0.5× 120 0.6× 275 2.7k
Peter R. Wolenski United States 21 1.3k 1.9× 539 0.8× 184 0.4× 253 0.7× 106 0.5× 55 2.5k
A. V. Balakrishnan United States 21 440 0.6× 426 0.6× 163 0.4× 328 0.9× 284 1.3× 142 2.2k
Henryk Woźniakowski Poland 22 420 0.6× 774 1.2× 92 0.2× 112 0.3× 406 1.9× 78 1.9k

Countries citing papers authored by Kaj Nyström

Since Specialization
Citations

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

Fields of papers citing papers by Kaj Nyström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaj Nyström

This figure shows the co-authorship network connecting the top 25 collaborators of Kaj Nyström. A scholar is included among the top collaborators of Kaj Nyström 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 Kaj Nyström. Kaj Nyström 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.
Nyström, Kaj, et al.. (2024). The Kato square root problem for weighted parabolic operators. Analysis & PDE. 18(1). 141–169.
2.
Kuusi, Tuomo, et al.. (2018). Boundary behavior of solutions to the parabolic p-Laplace equation. University of Oulu Repository (University of Oulu). 4 indexed citations
3.
Nyström, Kaj, et al.. (2016). Boundedness of single layer potentials associated to divergence form parabolic equations with complex coefficients. Calculus of Variations and Partial Differential Equations. 55(5). 9 indexed citations
4.
Auscher, Pascal, et al.. (2016). $L^2$ well-posedness of boundary value problems for parabolic systems with measurable coefficients. arXiv (Cornell University). 12 indexed citations
5.
Auscher, Pascal, et al.. (2016). The Dirichlet problem for second order parabolic operators in divergence\n form. arXiv (Cornell University). 8 indexed citations
6.
Nyström, Kaj. (2016). Square function estimates and the Kato problem for second order parabolic operators in Rn+1. Advances in Mathematics. 293. 1–36. 6 indexed citations
7.
Nyström, Kaj, et al.. (2015). Boundary estimates for solutions to linear degenerate parabolic equations. Journal of Differential Equations. 259(8). 3577–3614. 7 indexed citations
8.
Nyström, Kaj, et al.. (2012). The obstacle problem for parabolic non-divergence form operators of Hörmander type. Journal of Differential Equations. 252(9). 5002–5041. 3 indexed citations
9.
Lundström, Niklas L. P., et al.. (2010). Boundary estimates for solutions to operators of p-Laplace type with lower order terms. Journal of Differential Equations. 250(1). 264–291. 8 indexed citations
10.
Lewis, John L. & Kaj Nyström. (2010). Regularity of Lipschitz free boundaries in two-phase problems for the p-Laplace operator. Advances in Mathematics. 225(5). 2565–2597. 25 indexed citations
11.
Lewis, John L. & Kaj Nyström. (2008). Boundary behaviour of p -harmonic functions in domains beyond Lipschitz domains. Advances in Calculus of Variations. 1(2). 133–170. 24 indexed citations
12.
Nyström, Kaj. (2008). Harmonic Analysis, Quadratic Forms and Asymptotic Expansions of Risk Measures. Applied mathematical sciences. 2. 1023–1052. 1 indexed citations
13.
Lewis, John L. & Kaj Nyström. (2008). REGULARITY AND FREE BOUNDARY REGULARITY FOR THE p LAPLACIAN IN LIPSCHITZ AND C1 DOMAINS. Annales Academiae Scientiarum Fennicae Mathematica. 33(2). 523–548. 28 indexed citations
14.
Nyström, Kaj. (2006). Boundary value problems and duality between Lp Dirichlet and regularity problems for second order parabolic systems in non-cylindrical domains. Collectanea mathematica. 57(1). 93–119. 3 indexed citations
15.
Nyström, Kaj, et al.. (2006). A Credit Risk Model for Large Dimensional Portfolios with Application to Economic Capital. SSRN Electronic Journal. 1 indexed citations
16.
Nyström, Kaj, Peter Aronsson, & Peter Fritzson. (2005). Parallelization in Modelica. 1 indexed citations
17.
Aronsson, Peter, Peter Fritzson, Levon Saldamli, Peter Bunus, & Kaj Nyström. (2003). Meta Programming and Function Overloading in OpenModelica. 9 indexed citations
18.
Aronsson, Thomas, Karl‐Gustaf Lófgren, & Kaj Nyström. (2003). Stochastic Cost Benefit Rules: A Back-of-a-Lottery-Ticket Calculation Method. RePEc: Research Papers in Economics. 1 indexed citations
19.
Hofmann, Steve, John L. Lewis, & Kaj Nyström. (2003). EXISTENCE OF BIG PIECES OF GRAPHS FOR PARABOLIC PROBLEMS. Annales Academiae Scientiarum Fennicae Mathematica. 28(2). 355–384. 19 indexed citations
20.
Nyström, Kaj, et al.. (1996). THE 1994 NORTHRIDGE EARTHQUAKE -- TRAFFIC MANAGEMENT STRATEGIES. Transportation research circular. 4 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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