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.
All you need to know about model predictive control for buildings
2020570 citationsJán Drgoňa, Javier Arroyo et al.profile →
Modelica Buildings library
2013521 citationsMichael Wetter, Wangda Zuo et al.Journal of Building Performance Simulationprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Michael Wetter
Since
Specialization
Citations
This map shows the geographic impact of Michael Wetter'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 Michael Wetter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Wetter more than expected).
This network shows the impact of papers produced by Michael Wetter. 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 Michael Wetter. The network helps show where Michael Wetter may publish in the future.
Co-authorship network of co-authors of Michael Wetter
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Wetter.
A scholar is included among the top collaborators of Michael Wetter 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 Michael Wetter. Michael Wetter is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wetter, Michael, et al.. (2019). Control Description Language. Linköping electronic conference proceedings. 154. 17–26.17 indexed citations
11.
Zuo, Wangda, Dan Li, Wei Tian, & Michael Wetter. (2016). SIMULATION USING IN SITU ADAPTIVE TABULATION AND FAST FLUID DYNAMICS. Proceedings of SimBuild. 6(1).4 indexed citations
Nouidui, Thierry Stephane, Michael Wetter, & Wangda Zuo. (2012). Validation of the Window Model of the Modelica Buildings Library. eScholarship (California Digital Library). 5(1). 529–536.13 indexed citations
14.
Wetter, Michael. (2011). Co-Simulation of Building Energy and Control Systems with the Building Controls Virtual Test Bed. University of North Texas Digital Library (University of North Texas).2 indexed citations
15.
Wetter, Michael. (2011). A View on Future Building System Modeling and Simulation. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).13 indexed citations
16.
Trcka, M Marija, Michael Wetter, & Jlm Jan Hensen. (2010). An implementation of co-simulation for performance prediction of innovative integrated HVAC systems in buildings. TU/e Research Portal. 724–731.7 indexed citations
Wetter, Michael. (2009). A Modelica-based Model Library for Building Energy and Control Systems. University of North Texas Digital Library (University of North Texas).19 indexed citations
19.
Wetter, Michael & Philip Haves. (2008). A Modular Building Controls Virtual Test Bed for the Integrations of Heterogeneous Systems. University of North Texas Digital Library (University of North Texas). 3(1). 69–76.76 indexed citations
20.
Wetter, Michael, et al.. (2006). MODELICA VERSUS TRNSYS – A COMPARISON BETWEEN AN EQUATION-BASED AND A PROCEDURAL MODELING LANGUAGE FOR BUILDING ENERGY SIMULATION. Proceedings of SimBuild. 2(1).51 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.