Stephan Schlüter

537 total citations
25 papers, 289 citations indexed

About

Stephan Schlüter is a scholar working on Economics and Econometrics, Finance and Electrical and Electronic Engineering. According to data from OpenAlex, Stephan Schlüter has authored 25 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Economics and Econometrics, 6 papers in Finance and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Stephan Schlüter's work include Market Dynamics and Volatility (7 papers), Energy Load and Power Forecasting (4 papers) and Complex Systems and Time Series Analysis (4 papers). Stephan Schlüter is often cited by papers focused on Market Dynamics and Volatility (7 papers), Energy Load and Power Forecasting (4 papers) and Complex Systems and Time Series Analysis (4 papers). Stephan Schlüter collaborates with scholars based in Germany, South Korea and Serbia. Stephan Schlüter's co-authors include Matthias Fischer, Florian Weigert, Jung‐Sup Um, Michael Münz, Petar Mitić, Helmut Herwartz, Tanupriya Choudhury, A. Timmermann and Biswajeet Pradhan and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Environmental Research and Public Health and Sustainability.

In The Last Decade

Stephan Schlüter

23 papers receiving 279 citations

Peers

Stephan Schlüter

FINAN

GPC

EEE

Jooyoung Jeon South Korea

Jozef Komorník Slovakia

Thomas Nagler Germany

Zisheng Ouyang China

Eike Christian Brechmann Germany

Carlo Grillenzoni Italy

Silvano Bordignon Italy

Ahmed Nafidi Spain

Esther Salazar United States

Peter Nystrup Denmark

Jooyoung Jeon South Korea

Stephan Schlüter

87 ×0.8

54 ×0.6

FINAN

54 ×0.8

31 ×0.6

GPC

347 ×7.4

EEE

Citations per year, relative to Stephan Schlüter Stephan Schlüter (= 1×) peers Jooyoung Jeon

Countries citing papers authored by Stephan Schlüter

Since Specialization

Citations

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

Fields of papers citing papers by Stephan Schlüter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephan Schlüter

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

All Works

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20 of 20 papers shown

Schlüter, Stephan, et al.. (2025). Gaussian Process Regression with a Hybrid Risk Measure for Dynamic Risk Management in the Electricity Market. Risks. 13(1). 13–13.

Schlüter, Stephan, et al.. (2025). Decrypting the triad of climate policies, macroeconomic interdependencies and quantitative modelling: A literature review on quantifying climate risks. Regional Science Policy & Practice. 17(11). 100229–100229. 1 indexed citations

Um, Jung‐Sup, et al.. (2025). Using ChatGPT for detecting temperature anomalies in solar cells: potentials and constraints. Spatial Information Research. 33(4). 1 indexed citations

Mitić, Petar, et al.. (2024). Complex non-linear relationship between conventional and green bonds: Insights amidst COVID-19 and the RU–UA conflict. Journal of Behavioral and Experimental Finance. 43. 100966–100966. 3 indexed citations

Schlüter, Stephan, et al.. (2024). Heat Pumps for Germany—Additional Pressure on the Supply–Demand Equilibrium and How to Cope with Hydrogen. Energies. 17(12). 3053–3053. 2 indexed citations

Schlüter, Stephan, et al.. (2023). Decrypting the Triad of Climate Policies, Macroeconomic Interdependencies and Quantitative Modelling: A Literature Review on Quantifying Climate Risks. SSRN Electronic Journal.

Schlüter, Stephan, et al.. (2022). Economy-environment nexus in developed European countries: Evidence from multifractal and wavelet analysis. Chaos Solitons & Fractals. 160. 112189–112189. 11 indexed citations

Schlüter, Stephan, et al.. (2022). Comparative Evaluation for Tracking the Capability of Solar Cell Malfunction Caused by Soil Debris between UAV Video versus Photo-Mosaic. Remote Sensing. 14(5). 1220–1220. 4 indexed citations

Schlüter, Stephan, et al.. (2022). Spatial Cross-Correlation of GOSAT CO2 Concentration with Repeated Heat Wave-Induced Photosynthetic Inhibition in Europe from 2009 to 2017. Remote Sensing. 14(18). 4536–4536. 3 indexed citations

10.

Schlüter, Stephan, et al.. (2022). A Novel Approach to Generate Hourly Photovoltaic Power Scenarios. Sustainability. 14(8). 4617–4617. 1 indexed citations

11.

Schlüter, Stephan, et al.. (2021). The Future Is Colorful—An Analysis of the CO2 Bow Wave and Why Green Hydrogen Cannot Do It Alone. Energies. 14(18). 5720–5720. 7 indexed citations

12.

Schlüter, Stephan, et al.. (2021). Evaluating the Correlation between Thermal Signatures of UAV Video Stream versus Photomosaic for Urban Rooftop Solar Panels. Remote Sensing. 13(23). 4770–4770. 4 indexed citations

13.

Um, Jung‐Sup, et al.. (2021). Performance Evaluation of Neural Network-Based Short-Term Solar Irradiation Forecasts. Energies. 14(11). 3030–3030. 6 indexed citations

14.

Münz, Michael, et al.. (2020). Short-term temperature forecasts using a convolutional neural network — An application to different weather stations in Germany. SHILAP Revista de lepidopterología. 2. 100007–100007. 54 indexed citations

15.

Um, Jung‐Sup, et al.. (2020). Evaluating the Mutual Relationship between IPAT/Kaya Identity Index and ODIAC-Based GOSAT Fossil-Fuel CO2 Flux: Potential and Constraints in Utilizing Decomposed Variables. International Journal of Environmental Research and Public Health. 17(16). 5976–5976. 16 indexed citations

16.

Schlüter, Stephan, et al.. (2017). Operating a Swing Option on Today’s Gas Markets – How Least Squares Monte Carlo Works and Why it is Beneficial. Zeitschrift für Energiewirtschaft. 41(2). 137–150. 2 indexed citations

17.

Herwartz, Helmut & Stephan Schlüter. (2016). On the Predictive Information of Futures' Prices: A Wavelet‐Based Assessment. Journal of Forecasting. 36(4). 345–356. 6 indexed citations

18.

Schlüter, Stephan, et al.. (2014). Wavelet-based forecasting of ARIMA time series - an empirical comparison of different methods. SHILAP Revista de lepidopterología. 15(1). 107–107. 6 indexed citations

19.

Timmermann, A., et al.. (2009). Intensity increasing up to 4 MW/cm2 with BALB's via wavelengths coupling. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7198. 71980X–71980X. 3 indexed citations

20.

Fischer, Matthias, et al.. (2009). An empirical analysis of multivariate copula models. Quantitative Finance. 9(7). 839–854. 104 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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