Malin Göteman

2.3k total citations
88 papers, 1.7k citations indexed

About

Malin Göteman is a scholar working on Ocean Engineering, Computational Mechanics and Earth-Surface Processes. According to data from OpenAlex, Malin Göteman has authored 88 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Ocean Engineering, 33 papers in Computational Mechanics and 32 papers in Earth-Surface Processes. Recurrent topics in Malin Göteman's work include Wave and Wind Energy Systems (75 papers), Coastal and Marine Dynamics (32 papers) and Fluid Dynamics and Vibration Analysis (28 papers). Malin Göteman is often cited by papers focused on Wave and Wind Energy Systems (75 papers), Coastal and Marine Dynamics (32 papers) and Fluid Dynamics and Vibration Analysis (28 papers). Malin Göteman collaborates with scholars based in Sweden, China and United Kingdom. Malin Göteman's co-authors include Jens Engström, Jan Isberg, Marianna Giassi, Mikael Eriksson, Dezhi Ning, Mats Leijon, Xuanlie Zhao, Haigui Kang, Yingxue Yao and Liang Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Journal of Applied Physics.

In The Last Decade

Malin Göteman

85 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Malin Göteman Sweden 27 1.5k 826 697 464 185 88 1.7k
Giuseppe Giorgi Italy 23 1.2k 0.8× 661 0.8× 374 0.5× 385 0.8× 208 1.1× 92 1.4k
Jørgen Hals Todalshaug Norway 19 1.7k 1.2× 895 1.1× 591 0.8× 597 1.3× 347 1.9× 32 1.9k
Siming Zheng China 31 1.9k 1.3× 1.4k 1.7× 1.2k 1.8× 339 0.7× 137 0.7× 102 2.5k
Matthew Hall United States 18 1.1k 0.8× 826 1.0× 333 0.5× 536 1.2× 77 0.4× 50 1.4k
Markel Peñalba Spain 21 1.0k 0.7× 464 0.6× 330 0.5× 432 0.9× 249 1.3× 59 1.3k
Giorgio Bacelli United States 23 1.2k 0.8× 500 0.6× 291 0.4× 333 0.7× 406 2.2× 87 1.3k
Ronald W. Yeung United States 24 1.7k 1.1× 1.4k 1.7× 636 0.9× 406 0.9× 161 0.9× 130 2.3k
Ryan G. Coe United States 21 786 0.5× 332 0.4× 209 0.3× 233 0.5× 203 1.1× 87 985
Paul D. Sclavounos United States 20 1.1k 0.8× 824 1.0× 192 0.3× 500 1.1× 76 0.4× 56 1.5k
Aurélien Babarit France 23 2.7k 1.9× 1.3k 1.6× 1.1k 1.6× 1.0k 2.3× 457 2.5× 69 3.0k

Countries citing papers authored by Malin Göteman

Since Specialization
Citations

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

Fields of papers citing papers by Malin Göteman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malin Göteman

This figure shows the co-authorship network connecting the top 25 collaborators of Malin Göteman. A scholar is included among the top collaborators of Malin Göteman 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 Malin Göteman. Malin Göteman 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.
Göteman, Malin, et al.. (2025). Reduced order modeling of wave energy systems via sequential Bayesian experimental design and machine learning. Applied Ocean Research. 155. 104439–104439. 2 indexed citations
2.
Göteman, Malin, Mathaios Panteli, Anna Rutgersson, et al.. (2025). Resilience of offshore renewable energy systems to extreme metocean conditions: A review. Renewable and Sustainable Energy Reviews. 216. 115649–115649. 3 indexed citations
3.
Tagliafierro, Bonaventura, Iván Martínez-Estévez, Corrado Altomare, et al.. (2024). Development of an SPH-based numerical wave–current tank and application to wave energy converters. Applied Energy. 377. 124508–124508. 8 indexed citations
4.
Göteman, Malin, et al.. (2024). Resilience to extreme storm conditions: A comparative study of two power systems with varying dependencies on offshore wind. Results in Engineering. 23. 102408–102408. 9 indexed citations
5.
Faedo, Nicolás, et al.. (2024). Multi-fidelity surrogate modeling of nonlinear dynamic responses in wave energy farms. Applied Energy. 380. 125011–125011. 5 indexed citations
6.
Zhao, Xuanlie, et al.. (2023). Hydrodynamic analysis of a floating platform coupled with an array of oscillating bodies. Ocean Engineering. 287. 115439–115439. 20 indexed citations
7.
Engström, Jens, et al.. (2023). Offshore Measurements and Numerical Validation of the Mooring Forces on a 1:5 Scale Buoy. Journal of Marine Science and Engineering. 11(1). 231–231. 1 indexed citations
8.
10.
Eskilsson, Claes, et al.. (2022). Validation of a CFD model for wave energy system dynamics in extreme waves. Ocean Engineering. 268. 113320–113320. 30 indexed citations
11.
Göteman, Malin, et al.. (2022). Numerical modeling of extreme wave interaction with point-absorber using OpenFOAM. Ocean Engineering. 245. 110268–110268. 29 indexed citations
12.
Tagliafierro, Bonaventura, Iván Martínez-Estévez, José M. Domínguez, et al.. (2022). A numerical study of a taut-moored point-absorber wave energy converter with a linear power take-off system under extreme wave conditions. Applied Energy. 311. 118629–118629. 46 indexed citations
13.
Zhao, Xuanlie, et al.. (2021). Analytical investigation on the hydrodynamic performance of a multi-pontoon breakwater-WEC system. Ocean Engineering. 220. 108394–108394. 40 indexed citations
14.
Nilsson, Erik, et al.. (2021). Comparative Analysis of Environmental Contour Approaches to Estimating Extreme Waves for Offshore Installations for the Baltic Sea and the North Sea. Journal of Marine Science and Engineering. 9(1). 96–96. 28 indexed citations
15.
Giannini, Gianmaria, Paulo Rosa-Santos, Víctor Ramos, et al.. (2020). Wave Energy Converter Power Take-Off System Scaling and Physical Modelling. Journal of Marine Science and Engineering. 8(9). 632–632. 30 indexed citations
16.
Giassi, Marianna, Valeria Castellucci, & Malin Göteman. (2020). Economical layout optimization of wave energy parks clustered in electrical subsystems. Applied Ocean Research. 101. 102274–102274. 28 indexed citations
17.
Göteman, Malin, et al.. (2018). Energy management for a grid-connected wave energy park through a hybrid energy storage system. Applied Energy. 231. 399–411. 66 indexed citations
18.
Eriksson, Mikael, et al.. (2018). Experimental and Numerical Collaborative Latching Control of Wave Energy Converter Arrays. Energies. 11(11). 3036–3036. 33 indexed citations
19.
Göteman, Malin, et al.. (2018). Arrays of Point-Absorbing Wave Energy Converters in Short-Crested Irregular Waves. Energies. 11(4). 964–964. 19 indexed citations
20.
Ransley, Edward, et al.. (2017). Numerical models for the motion and forces of point-absorbing wave energy converters in extreme waves. Ocean Engineering. 145. 1–14. 39 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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