Reviewing two decades of energy system analysis with bibliometrics

Acknowledgements Dominik Franjo Dominkovi´c was funded by the CITIES project nr. DSF1305-00027B and Cool-Data project nr. 0177-00066B, both funded by the Danish Innovationsfonden. Fabian Scheller kindly acknowledges the financial support of the European Union’s research and innovation programme under the Marie Sklodowska-Curie grant agreement no. 713683 (COFUNDfellowsDTU). The authors also thank three anonymous reviewers for their helpful comments on an earlier version of this paper. The usual disclaimer applies.Peer reviewedPostprin

Exploring trade-offs between landscape impact, land use and resource quality for onshore variable renewable energy : An application to Great Britain

The authors gratefully acknowledge the contributions of David Schlund, who carried out some of the wind analysis whilst a Student Assistant at KIT, as well as Camille Moutard, upon whose Master Thesis at DTU this article builds (Assessing the ‘acceptable’ onshore wind potential in the UK, 2019, https://findit.dtu.dk/en/catalog/2451029061). The authors also gratefully acknowledge the anonymous feedback from three anonymous referees on an earlier version of this paper. The usual disclaimer applies. Credit author statement Conceptualisation: RM, IM, JMW; Methodology: all; Software: RM, IM, JMW, JP, SP; Data curation: RM, IM, JMW, JP, SP; Writing – Original Draft: All, Writing – Review & Editing: All; Visualisation: IM, JMW, JP, SP; Supervision: RM; Project Administration: RM.Peer reviewedPublisher PD

On the socio-technical potential for onshore wind in Europe : a response to Enevoldsen et al. (2019), Energy Policy, 132, 1092-1100

Acknoweldgements: S.W. and J.S. received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (reFUEL, grant agreement No. 758149). J.L. and T.T. received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement no. 715132).Peer reviewedPostprin

Research trends in combinatorial optimization

Acknowledgments This work has been partially funded by the Spanish Ministry of Science, Innovation, and Universities through the project COGDRIVE (DPI2017-86915-C3-3-R). In this context, we would also like to thank the Karlsruhe Institute of Technology. Open access funding enabled and organized by Projekt DEAL.Peer reviewedPublisher PD