Daniel O. Schulte

684 total citations
26 papers, 558 citations indexed

About

Daniel O. Schulte is a scholar working on Renewable Energy, Sustainability and the Environment, Environmental Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Daniel O. Schulte has authored 26 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Renewable Energy, Sustainability and the Environment, 11 papers in Environmental Engineering and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Daniel O. Schulte's work include Geothermal Energy Systems and Applications (22 papers), CO2 Sequestration and Geologic Interactions (10 papers) and Integrated Energy Systems Optimization (8 papers). Daniel O. Schulte is often cited by papers focused on Geothermal Energy Systems and Applications (22 papers), CO2 Sequestration and Geologic Interactions (10 papers) and Integrated Energy Systems Optimization (8 papers). Daniel O. Schulte collaborates with scholars based in Germany, United Kingdom and United States. Daniel O. Schulte's co-authors include Ingo Sass, Bastian Welsch, Kristian Bär, Wolfram Rühaak, Liselotte Schebek, Vasily Demyanov, Daniel Arnold, S. Geiger, Hans Oerter and Daniel Steinhage and has published in prestigious journals such as Applied Energy, Renewable Energy and Energies.

In The Last Decade

Daniel O. Schulte

25 papers receiving 548 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 O. Schulte Germany 12 411 204 176 125 115 26 558
Bastian Welsch Germany 10 448 1.1× 207 1.0× 185 1.1× 155 1.2× 144 1.3× 28 524
Panayiotis Pouloupatis Cyprus 10 355 0.9× 125 0.6× 128 0.7× 27 0.2× 57 0.5× 15 430
Chaofan Chen China 14 528 1.3× 231 1.1× 237 1.3× 49 0.4× 45 0.4× 43 689
Ignacio Martín Nieto Spain 12 253 0.6× 97 0.5× 100 0.6× 60 0.5× 75 0.7× 35 398
SeyedBijan Mahbaz Canada 10 136 0.3× 169 0.8× 115 0.7× 46 0.4× 42 0.4× 25 401
Nikolas Makasis Australia 14 421 1.0× 183 0.9× 123 0.7× 28 0.2× 91 0.8× 37 524
Stefano Lazzari Italy 13 418 1.0× 237 1.2× 158 0.9× 20 0.2× 57 0.5× 45 645
Saeid Mohammadzadeh Bina Japan 10 252 0.6× 280 1.4× 54 0.3× 73 0.6× 44 0.4× 23 448
Hyung-Mok Kim South Korea 14 155 0.4× 323 1.6× 173 1.0× 65 0.5× 78 0.7× 52 854
Massimo Cimmino Canada 14 598 1.5× 230 1.1× 216 1.2× 49 0.4× 115 1.0× 39 663

Countries citing papers authored by Daniel O. Schulte

Since Specialization
Citations

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

Fields of papers citing papers by Daniel O. Schulte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel O. Schulte

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel O. Schulte. A scholar is included among the top collaborators of Daniel O. Schulte 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 O. Schulte. Daniel O. Schulte 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.
Welsch, Bastian, et al.. (2022). Co-simulation of district heating systems and borehole heat exchanger arrays using 3D finite element method subsurface models. Journal of Building Performance Simulation. 15(3). 362–378. 6 indexed citations
2.
Schulte, Daniel O., et al.. (2021). Quantification of bore path uncertainty in borehole heat exchanger arrays using adaptive anisotropic stochastic collocation. Geothermics. 97. 102194–102194. 7 indexed citations
3.
Welsch, Bastian, et al.. (2020). Optimized Layouts of Borehole Thermal Energy Storage Systems in 4th Generation Grids. Energies. 13(17). 4405–4405. 8 indexed citations
4.
Welsch, Bastian, et al.. (2020). A Modelica Toolbox for the Simulation of Borehole Thermal Energy Storage Systems. Energies. 13(9). 2327–2327. 22 indexed citations
5.
Schulte, Daniel O., Daniel Arnold, S. Geiger, Vasily Demyanov, & Ingo Sass. (2020). Multi-objective optimization under uncertainty of geothermal reservoirs using experimental design-based proxy models. Geothermics. 86. 101792–101792. 40 indexed citations
6.
Rühaak, Wolfram, et al.. (2019). Application of the Vimoke–Taylor concept for fully coupled models of consolidation by prefabricated vertical drains. Computers and Geotechnics. 116. 103201–103201. 6 indexed citations
7.
Welsch, Bastian, et al.. (2018). Environmental and economic assessment of borehole thermal energy storage in district heating systems. Applied Energy. 216. 73–90. 107 indexed citations
8.
Welsch, Bastian, Daniel O. Schulte, Wolfram Rühaak, Kristian Bär, & Ingo Sass. (2017). Thermal Impact of Medium Deep Borehole Thermal Energy Storage on the Shallow Subsurface. EGU General Assembly Conference Abstracts. 15841. 1 indexed citations
9.
Welsch, Bastian, Wolfram Rühaak, Daniel O. Schulte, Kristian Bär, & Ingo Sass. (2016). Advanced Coupled Simulation of Borehole Thermal Energy Storage Systems and Above Ground Installations. EGU General Assembly Conference Abstracts. 1 indexed citations
10.
Welsch, Bastian, Wolfram Rühaak, Daniel O. Schulte, Kristian Bär, & Ingo Sass. (2016). Characteristics of medium deep borehole thermal energy storage. International Journal of Energy Research. 40(13). 1855–1868. 98 indexed citations
11.
Schulte, Daniel O., Bastian Welsch, Wolfram Rühaak, Kristian Bär, & Ingo Sass. (2016). BASIMO - Borehole Heat Exchanger Array Simulation and Optimization Tool. EGUGA. 16037. 1 indexed citations
12.
Schulte, Daniel O., Wolfram Rühaak, Bastian Welsch, & Ingo Sass. (2016). BASIMO – Borehole Heat Exchanger Array Simulation and Optimization Tool. Energy Procedia. 97. 210–217. 20 indexed citations
13.
Schulte, Daniel O., Bastian Welsch, Wolfram Rühaak, et al.. (2016). Modeling insulated borehole heat exchangers. Environmental Earth Sciences. 75(10). 28 indexed citations
14.
Rühaak, Wolfram, et al.. (2015). Medium Deep High Temperature Heat Storage. EGU General Assembly Conference Abstracts. 6305. 4 indexed citations
15.
Schulte, Daniel O., et al.. (2015). A MATLAB Toolbox for Optimization of Deep Borehole Heat Exchanger Arrays.
16.
Welsch, Bastian, et al.. (2015). A Comparative Study of Medium Deep Borehole Thermal Energy Storage Systems Using Numerical Modelling. 14 indexed citations
17.
Schulte, Daniel O., Wolfram Rühaak, Sergey Oladyshkin, Bastian Welsch, & Ingo Sass. (2015). Optimization of Medium‐Deep Borehole Thermal Energy Storage Systems. Energy Technology. 4(1). 104–113. 33 indexed citations
18.
Schulte, Daniel O., et al.. (2014). A MATLAB Toolbox for Optimization of Deep Borehole Heat Exchanger Storage Systems. 1 indexed citations
20.
Wesche, Christine, Olaf Eisen, Hans Oerter, Daniel O. Schulte, & Daniel Steinhage. (2007). Surface topography and ice flow in the vicinity of the EDML deep-drilling site, Antarctica. Journal of Glaciology. 53(182). 442–448. 34 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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