Joost Rommes

2.0k total citations · 1 hit paper
34 papers, 1.3k citations indexed

About

Joost Rommes is a scholar working on Statistical and Nonlinear Physics, Electrical and Electronic Engineering and Numerical Analysis. According to data from OpenAlex, Joost Rommes has authored 34 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistical and Nonlinear Physics, 17 papers in Electrical and Electronic Engineering and 14 papers in Numerical Analysis. Recurrent topics in Joost Rommes's work include Model Reduction and Neural Networks (19 papers), Numerical methods for differential equations (14 papers) and Power System Optimization and Stability (8 papers). Joost Rommes is often cited by papers focused on Model Reduction and Neural Networks (19 papers), Numerical methods for differential equations (14 papers) and Power System Optimization and Stability (8 papers). Joost Rommes collaborates with scholars based in Netherlands, Brazil and United States. Joost Rommes's co-authors include N. Martins, H.A. van der Vorst, Francisco Damasceno Freitas, W.H.A. Schilders, Athanasios C. Antoulas, Paulo César Pellanda, Gérard L. G. Sleijpen, Michiel E. Hochstenbach, Bor Plestenjak and T.L. van Noorden and has published in prestigious journals such as IEEE Transactions on Power Systems, Mathematics of Computation and Applied Mathematics and Computation.

In The Last Decade

Joost Rommes

33 papers receiving 1.2k citations

Hit Papers

Model Order Reduction: Theory, Research Aspects and Appli... 2008 2026 2014 2020 2008 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joost Rommes Netherlands 17 701 517 475 360 218 34 1.3k
Yangfeng Su China 16 451 0.6× 419 0.8× 157 0.3× 296 0.8× 266 1.2× 63 1.0k
Tatjana Stykel Germany 17 726 1.0× 170 0.3× 379 0.8× 445 1.2× 215 1.0× 54 1.0k
Richard Chiang United States 18 627 0.9× 307 0.6× 1.0k 2.1× 225 0.6× 90 0.4× 50 1.6k
Lihong Feng Germany 14 554 0.8× 167 0.3× 257 0.5× 214 0.6× 69 0.3× 70 789
Milan Korda France 13 706 1.0× 137 0.3× 848 1.8× 173 0.5× 162 0.7× 38 1.5k
Timo Reis Germany 19 414 0.6× 136 0.3× 682 1.4× 354 1.0× 220 1.0× 72 1.1k
E.M. Kasenally United Kingdom 9 374 0.5× 140 0.3× 512 1.1× 226 0.6× 227 1.0× 15 905
P. Feldmann United States 21 987 1.4× 1.6k 3.2× 240 0.5× 401 1.1× 202 0.9× 56 2.2k
W.H.A. Schilders Netherlands 15 234 0.3× 323 0.6× 142 0.3× 804 2.2× 374 1.7× 101 1.5k
Kirsten Morris Canada 24 260 0.4× 150 0.3× 1.4k 2.9× 207 0.6× 409 1.9× 116 1.9k

Countries citing papers authored by Joost Rommes

Since Specialization
Citations

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

Fields of papers citing papers by Joost Rommes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joost Rommes

This figure shows the co-authorship network connecting the top 25 collaborators of Joost Rommes. A scholar is included among the top collaborators of Joost Rommes 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 Joost Rommes. Joost Rommes 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.
Freitas, Francisco Damasceno, et al.. (2019). Parameter Preserving Model Order Reduction of Large Sparse Small-Signal Electromechanical Stability Power System Models. IEEE Transactions on Power Systems. 34(4). 2814–2824. 18 indexed citations
2.
Rommes, Joost, et al.. (2013). Error bounds for reduction of multi‐port resistor networks. International Journal of Numerical Modelling Electronic Networks Devices and Fields. 26(5). 464–477. 2 indexed citations
3.
Rommes, Joost, et al.. (2012). Application of the Jacobi–Davidson method to accurate analysis of singular linear hydrodynamic stability problems. International Journal for Numerical Methods in Fluids. 71(3). 358–369. 6 indexed citations
4.
Freitas, Francisco Damasceno, et al.. (2011). Reduced-Order Transfer Matrices From RLC Network Descriptor Models of Electric Power Grids. IEEE Transactions on Power Systems. 26(4). 1905–1916. 19 indexed citations
5.
Rommes, Joost, et al.. (2010). Error bounds for reduction of multi-port resistor networks. TU/e Research Portal (Eindhoven University of Technology). 1049. 1 indexed citations
6.
Rommes, Joost, N. Martins, & Francisco Damasceno Freitas. (2010). Computing Rightmost Eigenvalues for Small-Signal Stability Assessment of Large-Scale Power Systems. IEEE Transactions on Power Systems. 25(2). 929–938. 83 indexed citations
7.
Rommes, Joost, et al.. (2009). Model order reduction for multi-terminal circuits. Data Archiving and Networked Services (DANS). 929. 2 indexed citations
8.
Rommes, Joost & N. Martins. (2009). Exploiting structure in large-scale electrical circuit and power system problems. Linear Algebra and its Applications. 431(3-4). 318–333. 16 indexed citations
9.
Rommes, Joost & W.H.A. Schilders. (2009). Efficient Methods for Large Resistor Networks. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 29(1). 28–39. 58 indexed citations
11.
Rommes, Joost & N. Martins. (2008). Computing Transfer Function Dominant Poles of Large-Scale Second-Order Dynamical Systems. SIAM Journal on Scientific Computing. 30(4). 2137–2157. 20 indexed citations
12.
Rommes, Joost, et al.. (2008). Passivity-Preserving Model Reduction Using Dominant Spectral-Zero Interpolation. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 27(12). 2250–2263. 33 indexed citations
13.
Rommes, Joost & Gérard L. G. Sleijpen. (2008). Convergence of the Dominant Pole Algorithm and Rayleigh Quotient Iteration. SIAM Journal on Matrix Analysis and Applications. 30(1). 346–363. 17 indexed citations
14.
Rommes, Joost, et al.. (2008). Model order reduction of nonlinear systems: status, open issues, and applications. Qucosa - Monarch (Chemnitz University of Technology). 11 indexed citations
15.
Freitas, Francisco Damasceno, Joost Rommes, & N. Martins. (2008). Gramian-Based Reduction Method Applied to Large Sparse Power System Descriptor Models. IEEE Transactions on Power Systems. 23(3). 1258–1270. 118 indexed citations
16.
Rommes, Joost. (2007). Arnoldi and Jacobi-Davidson methods for generalized eigenvalue problems $Ax=\lambda Bx$ with singular $B$. Mathematics of Computation. 77(262). 995–1016. 28 indexed citations
17.
Martins, N., Paulo César Pellanda, & Joost Rommes. (2007). Computation of Transfer Function Dominant Zeros With Applications to Oscillation Damping Control of Large Power Systems. IEEE Transactions on Power Systems. 22(4). 1657–1664. 30 indexed citations
18.
Rommes, Joost, et al.. (2007). Computing a partial generalized real Schur form using the Jacobi–Davidson method. Numerical Linear Algebra with Applications. 14(3). 197–215. 9 indexed citations
19.
Rommes, Joost & N. Martins. (2006). Efficient Computation of Transfer Function Dominant Poles Using Subspace Acceleration. IEEE Transactions on Power Systems. 21(3). 1218–1226. 73 indexed citations
20.
Noorden, T.L. van & Joost Rommes. (2005). Computing a partial generalized real Schur form using the Jacobi-Davidson method. 541. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026