Marc Baranski

769 total citations
37 papers, 598 citations indexed

About

Marc Baranski is a scholar working on Building and Construction, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Marc Baranski has authored 37 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Building and Construction, 12 papers in Electrical and Electronic Engineering and 10 papers in Control and Systems Engineering. Recurrent topics in Marc Baranski's work include Building Energy and Comfort Optimization (18 papers), Smart Grid Energy Management (7 papers) and Energy Efficiency and Management (7 papers). Marc Baranski is often cited by papers focused on Building Energy and Comfort Optimization (18 papers), Smart Grid Energy Management (7 papers) and Energy Efficiency and Management (7 papers). Marc Baranski collaborates with scholars based in Germany and United States. Marc Baranski's co-authors include Dirk Müller, Thomas Schreiber, Roozbeh Sangi, Alexander Kümpel, Rita Streblow, Tatiana Morosuk, George Tsatsaronis, Tianyuan Wang, Jan Henrik Ziegeldorf and Yingying Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Applied Energy.

In The Last Decade

Marc Baranski

37 papers receiving 568 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc Baranski Germany 13 368 305 154 124 61 37 598
Silvio Brandi Italy 12 416 1.1× 468 1.5× 137 0.9× 147 1.2× 82 1.3× 18 737
Wei Zhong China 14 250 0.7× 142 0.5× 87 0.6× 79 0.6× 96 1.6× 82 558
Timothy Middelkoop United States 8 352 1.0× 368 1.2× 211 1.4× 92 0.7× 38 0.6× 20 592
Tianshu Wei United States 10 372 1.0× 314 1.0× 156 1.0× 97 0.8× 71 1.2× 16 560
Woohyun Kim South Korea 12 122 0.3× 343 1.1× 158 1.0× 102 0.8× 152 2.5× 25 567
Zhaoguang Pan China 19 1.1k 2.9× 180 0.6× 325 2.1× 168 1.4× 57 0.9× 40 1.1k
Fred Spiessens Belgium 14 471 1.3× 272 0.9× 317 2.1× 96 0.8× 49 0.8× 29 736
S.N. Khalid Malaysia 17 599 1.6× 89 0.3× 197 1.3× 121 1.0× 30 0.5× 60 799
Xiangyu Zhang United States 15 439 1.2× 158 0.5× 229 1.5× 67 0.5× 23 0.4× 63 714
Qun Zhou United States 14 540 1.5× 95 0.3× 281 1.8× 81 0.7× 105 1.7× 44 747

Countries citing papers authored by Marc Baranski

Since Specialization
Citations

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

Fields of papers citing papers by Marc Baranski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Baranski

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Baranski. A scholar is included among the top collaborators of Marc Baranski 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 Marc Baranski. Marc Baranski 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.
2.
Baranski, Marc, et al.. (2020). Applying Machine Learning to Automate Calibration for Model Predictive Control of Building Energy Systems. Building Simulation Conference proceedings. 16. 900–907. 2 indexed citations
3.
Baranski, Marc, et al.. (2020). Real-world application of machine-learning-based fault detection trained with experimental data. Energy. 198. 117323–117323. 74 indexed citations
4.
Tsatsaronis, George, et al.. (2019). Exergy-based control strategies for the efficient operation of building energy systems. Journal of Cleaner Production. 241. 118277–118277. 21 indexed citations
5.
Carducci, Carlo Guarnieri Calò, et al.. (2019). Designing a Development Board for Research on IoT Applications in Building Automation Systems. Proceedings of the ... ISARC. 6 indexed citations
6.
Kümpel, Alexander, et al.. (2019). A cloud-based operation optimization of building energy systems using a hierarchical multi-agent control. Journal of Physics Conference Series. 1343(1). 12053–12053. 4 indexed citations
7.
Schreiber, Thomas, et al.. (2019). Modeling of Petri-Net-based control algorithms for the simulation-based improvement of the planning process of building energy systems. Journal of Physics Conference Series. 1343(1). 12123–12123. 5 indexed citations
8.
9.
Baranski, Marc, et al.. (2019). Cloud, wireless technology, internet of things: the next generation of building automation systems?. Journal of Physics Conference Series. 1343(1). 12059–12059. 7 indexed citations
10.
Baranski, Marc, et al.. (2019). Aikido: Structuring data point identifiers of technical building equipment by machine learning. Journal of Physics Conference Series. 1343(1). 12039–12039. 4 indexed citations
11.
Morosuk, Tatiana, et al.. (2019). Exergieanalyse in der Gebäudeautomation. 70(2). 76–80. 1 indexed citations
12.
Baranski, Marc, et al.. (2019). Takeshi: Application of unsupervised machine learning techniques for topology detection in building energy systems. Journal of Physics Conference Series. 1343(1). 12041–12041. 3 indexed citations
13.
Schreiber, Thomas, et al.. (2019). A time series clustering approach for Building Automation and Control Systems. Applied Energy. 238. 1337–1345. 28 indexed citations
14.
Kümpel, Alexander, et al.. (2019). A Representative Simulation Model for Benchmarking Building Control Strategies. Proceedings of the ... ISARC. 1 indexed citations
15.
Baranski, Marc, et al.. (2019). Automated data-driven modeling of building energy systems via machine learning algorithms. Energy and Buildings. 202. 109384–109384. 61 indexed citations
16.
Müller, Dirk, et al.. (2018). Structuring building monitoring and automation system data. RWTH Publications (RWTH Aachen). 5 indexed citations
17.
Baranski, Marc, et al.. (2018). Comparative study of simulation-assisted approaches for distributed model predictive control in building energy systems. RWTH Publications (RWTH Aachen). 1 indexed citations
18.
Sangi, Roozbeh, et al.. (2015). Modeling and simulation of the heating circuit of a multi-functional building. Energy and Buildings. 110. 13–22. 24 indexed citations
19.
Baranski, Marc, et al.. (2005). Detecting Patterns of Appliances from Total Load Data Using a Dynamic Programming Approach. 327–330. 46 indexed citations
20.
Baranski, Marc. (1999). Think Globally, Pay Locally: Finding the Right Mix. Compensation & Benefits Review. 31(4). 15–24. 1 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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