Daniel Köster

500 total citations
14 papers, 413 citations indexed

About

Daniel Köster is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Daniel Köster has authored 14 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Electrical and Electronic Engineering and 4 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Daniel Köster's work include Solar Radiation and Photovoltaics (4 papers), Agriculture Sustainability and Environmental Impact (3 papers) and Photovoltaic System Optimization Techniques (3 papers). Daniel Köster is often cited by papers focused on Solar Radiation and Photovoltaics (4 papers), Agriculture Sustainability and Environmental Impact (3 papers) and Photovoltaic System Optimization Techniques (3 papers). Daniel Köster collaborates with scholars based in Luxembourg, Belgium and Netherlands. Daniel Köster's co-authors include Enrico Benetto, Colin Jury, Ian Vázquez‐Rowe, Viooltje Lebuf, C. Braun, Céline Vaneeckhaute, Evi Michels, Erik Meers, Elorri Igos and Benedetto Rugani and has published in prestigious journals such as Applied Energy, Renewable Energy and Waste Management.

In The Last Decade

Daniel Köster

14 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Köster Luxembourg 9 124 96 86 82 74 14 413
Eeva Lehtonen Finland 8 82 0.7× 54 0.6× 73 0.8× 73 0.9× 56 0.8× 17 325
John Gelegenis Greece 11 411 3.3× 71 0.7× 122 1.4× 116 1.4× 39 0.5× 31 599
Cláudia do Rosário Vaz Morgado Brazil 9 73 0.6× 43 0.4× 101 1.2× 98 1.2× 85 1.1× 31 435
Victor Kouloumpis United Kingdom 13 54 0.4× 73 0.8× 162 1.9× 64 0.8× 31 0.4× 19 477
Salvatore Mellino Italy 11 35 0.3× 122 1.3× 276 3.2× 95 1.2× 70 0.9× 14 575
Jukka Höhn Finland 5 73 0.6× 34 0.4× 60 0.7× 59 0.7× 55 0.7× 8 324
Bogdan Dubis Poland 16 136 1.1× 97 1.0× 56 0.7× 347 4.2× 70 0.9× 51 928
Hamed Kouchaki‐Penchah Canada 11 55 0.4× 52 0.5× 303 3.5× 35 0.4× 190 2.6× 16 574
Zahra Saber Iran 6 30 0.2× 48 0.5× 263 3.1× 56 0.7× 167 2.3× 6 609
Héctor Velásquez Colombia 15 63 0.5× 40 0.4× 105 1.2× 208 2.5× 36 0.5× 49 626

Countries citing papers authored by Daniel Köster

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Köster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Köster

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

All Works

14 of 14 papers shown
1.
Bruneau, Pierrick, et al.. (2024). Forecasting intraday power output by a set of PV systems using recurrent neural networks and physical covariates. Neural Computing and Applications. 36(31). 19515–19529. 1 indexed citations
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Nguyen, Phuong H., et al.. (2021). Deterministic scheduling optimisation for Local Flexibility Markets in distribution networks. TU/e Research Portal. 1 indexed citations
5.
Mladenov, Valeri, et al.. (2021). Forecasting and risk assessment in MV grids. 3053. 1–6. 2 indexed citations
6.
Köster, Daniel, et al.. (2018). Short-term and regionalized photovoltaic power forecasting, enhanced by reference systems, on the example of Luxembourg. Renewable Energy. 132. 455–470. 54 indexed citations
7.
Rege, Sameer, et al.. (2016). Quantification of Agricultural Land Use Changes in Consequential Life Cycle Assessment Using Mathematical Programming Models Following a Partial Equilibrium Approach. Journal of Environmental Informatics. 26(2). 121–139. 20 indexed citations
8.
Igos, Elorri, et al.. (2016). Using rye as cover crop for bioenergy production: An environmental and economic assessment. Biomass and Bioenergy. 95. 116–123. 19 indexed citations
9.
Vázquez‐Rowe, Ian, Viooltje Lebuf, Céline Vaneeckhaute, et al.. (2015). Environmental assessment of digestate treatment technologies using LCA methodology. Waste Management. 43. 442–459. 102 indexed citations
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Rugani, Benedetto, et al.. (2015). Environmental and economic assessment of biomass sourcing from extensively cultivated buffer strips along water bodies. Environmental Science & Policy. 57. 31–39. 14 indexed citations
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Vázquez‐Rowe, Ian, et al.. (2013). Assessing the treatment costs and the fertilizing value of the output products in digestate treatment systems. Water Science & Technology. 69(3). 656–662. 19 indexed citations
14.
Jury, Colin, et al.. (2009). Life Cycle Assessment of biogas production by monofermentation of energy crops and injection into the natural gas grid. Biomass and Bioenergy. 34(1). 54–66. 156 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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2026