Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Use of model predictive control and weather forecasts for energy efficient building climate control
2011910 citationsFrauke Oldewurtel, Alessandra Parisio et al.Energy and Buildingsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Markus Gwerder
Since
Specialization
Citations
This map shows the geographic impact of Markus Gwerder'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 Markus Gwerder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Gwerder more than expected).
This network shows the impact of papers produced by Markus Gwerder. 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 Markus Gwerder. The network helps show where Markus Gwerder may publish in the future.
Co-authorship network of co-authors of Markus Gwerder
This figure shows the co-authorship network connecting the top 25 collaborators of Markus Gwerder.
A scholar is included among the top collaborators of Markus Gwerder 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 Markus Gwerder. Markus Gwerder 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.
Gwerder, Markus & Bharath Seshadri. (2020). Control of Distributed Cooling and Ventilation Systems in Hot and Humid Climates. 2. 682–691.1 indexed citations
Sturzenegger, David, Dimitrios Gyalistras, Markus Gwerder, et al.. (2013). Model Predictive Control of a Swiss Office Building. Repository for Publications and Research Data (ETH Zurich). 3227–3236.42 indexed citations
Oldewurtel, Frauke, Alessandra Parisio, Colin N. Jones, et al.. (2011). Use of model predictive control and weather forecasts for energy efficient building climate control. Energy and Buildings. 45. 15–27.910 indexed citations breakdown →
Oldewurtel, Frauke, Dimitrios Gyalistras, Markus Gwerder, et al.. (2010). Increasing energy efficiency in building climate control using weather forecasts and model predictive control. Infoscience (Ecole Polytechnique Fédérale de Lausanne).44 indexed citations
Gyalistras, Dimitrios, et al.. (2010). Analysis of energy savings potentials for integrated room automation. Infoscience (Ecole Polytechnique Fédérale de Lausanne).37 indexed citations
Weber⋆, Andreas, et al.. (2008). The simulation of building-integrated fuel cell and other cogeneration systems. Infoscience (Ecole Polytechnique Fédérale de Lausanne).13 indexed citations
17.
Gwerder, Markus, et al.. (2007). EFFECT OF THE HYDRAULIC PIPING TOPOLOGY ON ENERGY DEMAND AND COMFORT IN BUILDINGS WITH TABS. DORA Empa (Swiss Federal Laboratories for Materials Science and Technology (Empa)).2 indexed citations
Gwerder, Markus & J. Tödtli. (2005). PREDICTIVE CONTROL FOR INTEGRATED ROOM AUTOMATION.48 indexed citations
20.
Gruber, Péter, Markus Gwerder, & J. Tödtli. (2001). Predictive Control for Heating Applications.18 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.