Wouter Nijs

2.3k total citations
35 papers, 1.8k citations indexed

About

Wouter Nijs is a scholar working on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Energy Engineering and Power Technology. According to data from OpenAlex, Wouter Nijs has authored 35 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 12 papers in Renewable Energy, Sustainability and the Environment and 9 papers in Energy Engineering and Power Technology. Recurrent topics in Wouter Nijs's work include Integrated Energy Systems Optimization (19 papers), Hybrid Renewable Energy Systems (9 papers) and Climate Change Policy and Economics (8 papers). Wouter Nijs is often cited by papers focused on Integrated Energy Systems Optimization (19 papers), Hybrid Renewable Energy Systems (9 papers) and Climate Change Policy and Economics (8 papers). Wouter Nijs collaborates with scholars based in Netherlands, Belgium and Italy. Wouter Nijs's co-authors include Herib Blanco, André Faaij, Christian Thiel, Johannes Ruf, Alessandra Sgobbi, Pablo Ruiz, Sofia G. Simões, Semida Silveira, Johannes Morfeldt and Maurizio Gargiulo and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of Cleaner Production and Applied Energy.

In The Last Decade

Wouter Nijs

33 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
Wouter Nijs Netherlands 21 911 579 458 381 272 35 1.8k
Iva Ridjan Skov Denmark 17 1.1k 1.2× 764 1.3× 480 1.0× 391 1.0× 249 0.9× 31 1.9k
Heidi Heinrichs Germany 22 870 1.0× 712 1.2× 430 0.9× 339 0.9× 185 0.7× 48 2.0k
Tom Terlouw Switzerland 12 690 0.8× 362 0.6× 387 0.8× 383 1.0× 395 1.5× 19 1.6k
Max Wei United States 24 735 0.8× 399 0.7× 562 1.2× 449 1.2× 149 0.5× 36 2.0k
Michel Noussan Italy 25 1.1k 1.2× 555 1.0× 579 1.3× 199 0.5× 275 1.0× 68 2.1k
Siavash Khalili Finland 15 792 0.9× 552 1.0× 525 1.1× 254 0.7× 153 0.6× 19 1.5k
René Benders Netherlands 24 642 0.7× 342 0.6× 585 1.3× 435 1.1× 235 0.9× 57 2.0k
Juha Kiviluoma Finland 26 2.1k 2.3× 609 1.1× 546 1.2× 273 0.7× 176 0.6× 98 2.8k
Mikael Odenberger Sweden 28 1.5k 1.6× 435 0.8× 499 1.1× 340 0.9× 483 1.8× 69 2.4k
Yasumasa Fujii Japan 19 754 0.8× 416 0.7× 309 0.7× 202 0.5× 120 0.4× 91 1.4k

Countries citing papers authored by Wouter Nijs

Since Specialization
Citations

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

Fields of papers citing papers by Wouter Nijs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wouter Nijs

This figure shows the co-authorship network connecting the top 25 collaborators of Wouter Nijs. A scholar is included among the top collaborators of Wouter Nijs 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 Wouter Nijs. Wouter Nijs 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.
Nijs, Wouter, et al.. (2024). Will hydrogen and synthetic fuels energize our future? Their role in Europe's climate-neutral energy system and power system dynamics. Applied Energy. 375. 124053–124053. 14 indexed citations
2.
Pavičević, Matija, Wouter Nijs, Francesco Lombardi, et al.. (2020). The potential of sector coupling in future European energy systems: Soft linking between the Dispa-SET and JRC-EU-TIMES models. Applied Energy. 267. 115100–115100. 100 indexed citations
3.
Pavičević, Matija, Wouter Nijs, Konstantinos Kavvadias, & Sylvain Quoilin. (2019). Modelling flexible power demand and supply in the EU power system: soft-linking between JRC-EU-TIMES and the open-source Dispa-SET model. Lirias (KU Leuven). 2 indexed citations
4.
Nijs, Wouter, et al.. (2019). 01_JRC-EU-TIMES Full model. 3 indexed citations
5.
Carlsson, Johan, Andreas Uihlein, Wouter Nijs, et al.. (2019). Clean energy technology synergies and issues. Joint Research Centre (European Commission). 3 indexed citations
6.
Blanco, Herib, Wouter Nijs, Johannes Ruf, & André Faaij. (2018). Potential of Power-to-Methane in the EU energy transition to a low carbon system using cost optimization. Applied Energy. 232. 323–340. 160 indexed citations
7.
Patricia, Alves Dias, et al.. (2018). EU coal regions: opportunities and challenges ahead. Joint Research Centre (European Commission). 86 indexed citations
8.
Nijs, Wouter, et al.. (2018). Deployment Scenarios for Low Carbon Energy Technologies. Joint Research Centre (European Commission). 6 indexed citations
9.
Sgobbi, Alessandra, et al.. (2015). Addressing flexibility in energy system models. Open Repository and Bibliography (University of Liège). 27 indexed citations
10.
Ruiz, Pablo, Alessandra Sgobbi, Wouter Nijs, et al.. (2015). The JRC-EU-TIMES model. Bioenergy potentials for EU and neighbouring countries. Joint Research Centre (European Commission). 42 indexed citations
12.
Sgobbi, Alessandra, Sofia G. Simões, Davide Magagna, & Wouter Nijs. (2015). Assessing the impacts of technology improvements on the deployment of marine energy in Europe with an energy system perspective. Renewable Energy. 89. 515–525. 24 indexed citations
13.
Morfeldt, Johannes, Wouter Nijs, & Semida Silveira. (2014). The impact of climate targets on future steel production – an analysis based on a global energy system model. Journal of Cleaner Production. 103. 469–482. 150 indexed citations
14.
Nijs, Wouter, et al.. (2014). THE ROLE OF THE EU CAR CO2 REGULATION TO ACHIEVE LOWER CO2 EMISSIONS FROM TRANSPORT BY 2030. Joint Research Centre (European Commission). 1 indexed citations
15.
Laes, Erik, et al.. (2014). Establishment of an ad hoc forum for the comparison of the TIMES-MARKAL and LEAP model as a support for Belgian long-term energy policy : final report. 1 indexed citations
16.
Morfeldt, Johannes, Wouter Nijs, & Semida Silveira. (2013). Shaping our energy system - combining European modelling expertise : Case Study: How to decarbonize European steel production? A global perspective. 2 indexed citations
17.
Simões, Sofia G., et al.. (2013). The JRC-EU-TIMES model - Assessing the long-term role of the SET Plan Energy technologies. Joint Research Centre (European Commission). 77 indexed citations
18.
Nijs, Wouter & Denise Van Regemorter. (2012). The EU climate policy perspectives and their implications for Belgium. RePEc: Research Papers in Economics. 57(2). 213–241. 1 indexed citations
19.
Proost, Stef, et al.. (2009). Will a radical transport pricing reform jeopardize the ambitious EU climate change objectives?. Energy Policy. 37(10). 3863–3871. 22 indexed citations
20.
Nijs, Wouter & Denise Van Regemorter. (2007). Post Kyoto Options for Belgium, 2012-2050. SSRN Electronic Journal. 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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