Jens Berg

1.0k total citations · 1 hit paper
11 papers, 656 citations indexed

About

Jens Berg is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics and Electrical and Electronic Engineering. According to data from OpenAlex, Jens Berg has authored 11 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Mechanics, 3 papers in Statistical and Nonlinear Physics and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Jens Berg's work include Advanced Numerical Methods in Computational Mathematics (5 papers), Electromagnetic Simulation and Numerical Methods (3 papers) and Computational Fluid Dynamics and Aerodynamics (3 papers). Jens Berg is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (5 papers), Electromagnetic Simulation and Numerical Methods (3 papers) and Computational Fluid Dynamics and Aerodynamics (3 papers). Jens Berg collaborates with scholars based in Sweden, United States and Finland. Jens Berg's co-authors include Kaj Nyström, Jan Nordström and Gary G. Yen and has published in prestigious journals such as Journal of Computational Physics, Neurocomputing and Computers & Fluids.

In The Last Decade

Jens Berg

11 papers receiving 637 citations

Hit Papers

A unified deep artificial neural network approach to part... 2018 2026 2020 2023 2018 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A unified deep artificial neural network approach to partial differential equations in complex geometries
    2018 428 citations Jens Berg, Kaj Nyström Neurocomputing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jens Berg Sweden 9 419 279 99 95 84 11 656
Bing Yu China 4 655 1.6× 293 1.1× 165 1.7× 160 1.7× 119 1.4× 9 848
Deep Ray United States 11 448 1.1× 370 1.3× 50 0.5× 99 1.0× 122 1.5× 24 727
Alessandro Alla Italy 9 331 0.8× 156 0.6× 22 0.2× 57 0.6× 107 1.3× 27 469
Youngsoo Choi United States 16 581 1.4× 317 1.1× 67 0.7× 71 0.7× 229 2.7× 35 809
Federico Negri Switzerland 8 766 1.8× 497 1.8× 131 1.3× 35 0.4× 321 3.8× 11 989
Todd Oliver United States 16 245 0.6× 771 2.8× 55 0.6× 50 0.5× 253 3.0× 39 1.1k
Enrico Schiassi United States 13 293 0.7× 100 0.4× 23 0.2× 102 1.1× 43 0.5× 23 567
René Pinnau Germany 17 99 0.2× 424 1.5× 55 0.6× 37 0.4× 41 0.5× 77 861
Kailiang Wu China 14 318 0.8× 367 1.3× 13 0.1× 96 1.0× 139 1.7× 35 702

Countries citing papers authored by Jens Berg

Since Specialization
Citations

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

Fields of papers citing papers by Jens Berg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jens Berg

This figure shows the co-authorship network connecting the top 25 collaborators of Jens Berg. A scholar is included among the top collaborators of Jens Berg 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 Jens Berg. Jens Berg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Berg, Jens & Kaj Nyström. (2021). Neural networks as smooth priors for inverse problems for PDEs. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1. 100008–100008. 13 indexed citations
2.
Berg, Jens & Kaj Nyström. (2019). Data-driven discovery of PDEs in complex datasets. Journal of Computational Physics. 384. 239–252. 89 indexed citations
3.
Berg, Jens & Kaj Nyström. (2018). A unified deep artificial neural network approach to partial differential equations in complex geometries. Neurocomputing. 317. 28–41. 428 indexed citations breakdown →
4.
Berg, Jens & Jan Nordström. (2013). Duality based boundary conditions and dual consistent finite difference discretizations of the Navier–Stokes and Euler equations. Journal of Computational Physics. 259. 135–153. 12 indexed citations
5.
Berg, Jens & Jan Nordström. (2012). Spectral analysis of the continuous and discretized heat and advection equation on single and multiple domains. Applied Numerical Mathematics. 62(11). 1620–1638. 4 indexed citations
6.
Berg, Jens & Jan Nordström. (2012). Superconvergent functional output for time-dependent problems using finite differences on summation-by-parts form. Journal of Computational Physics. 231(20). 6846–6860. 28 indexed citations
7.
Nordström, Jan & Jens Berg. (2012). Conjugate heat transfer for the unsteady compressible Navier–Stokes equations using a multi-block coupling. Computers & Fluids. 72. 20–29. 22 indexed citations
8.
Berg, Jens & Jan Nordström. (2012). On the impact of boundary conditions on dual consistent finite difference discretizations. Journal of Computational Physics. 236. 41–55. 18 indexed citations
9.
Berg, Jens & Jan Nordström. (2011). Stable Robin solid wall boundary conditions for the Navier–Stokes equations. Journal of Computational Physics. 230(19). 7519–7532. 22 indexed citations
10.
Yen, Gary G. & Jens Berg. (2002). Reconfigurable learning control in large space structures. 2. 744–749. 6 indexed citations
11.
Berg, Jens, et al.. (1990). ASTREX-a unique test bed for CSI research. 2018–2023 vol.4. 14 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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