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.
Contrasting the capabilities of building energy performance simulation programs
20061.4k citationsDrury B. Crawley, Jon Hand et al.Building and Environmentprofile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
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Countries citing papers authored by Michaël Kummert
Since
Specialization
Citations
This map shows the geographic impact of Michaël Kummert'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 Michaël Kummert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaël Kummert more than expected).
This network shows the impact of papers produced by Michaël Kummert. 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 Michaël Kummert. The network helps show where Michaël Kummert may publish in the future.
Co-authorship network of co-authors of Michaël Kummert
This figure shows the co-authorship network connecting the top 25 collaborators of Michaël Kummert.
A scholar is included among the top collaborators of Michaël Kummert 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 Michaël Kummert. Michaël Kummert is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kummert, Michaël, et al.. (2016). ESTIMATING SUB-HOURLY SOLAR RADIATION AND EFFECTIVE SKY TEMPERATURE FROM HOURLY WEATHER DATA. PolyPublie (École Polytechnique de Montréal). 6(1).4 indexed citations
Beausoleil-Morrison, Ian, et al.. (2013). Co-simulation between ESP-r and TRNSYS. Journal of Building Performance Simulation. 7(2). 133–151.18 indexed citations
11.
Kummert, Michaël, et al.. (2012). PROPOSED TRNSYS MODEL FOR STORAGE TANK WITH ENCAPSULATED PHASE CHANGE MATERIALS. PolyPublie (École Polytechnique de Montréal). 5(1). 423–430.5 indexed citations
12.
Delcroix, Benoit, et al.. (2012). CONDUCTION TRANSFER FUNCTIONS IN TRNSYS MULTIZONE BUILDING MODEL: CURRENT IMPLEMENTATION, LIMITATIONS AND POSSIBLE IMPROVEMENTS. PolyPublie (École Polytechnique de Montréal). 5(1). 219–226.22 indexed citations
Crawley, Drury B., Jon Hand, Michaël Kummert, & Brent Griffith. (2006). Contrasting the capabilities of building energy performance simulation programs. Building and Environment. 43(4). 661–673.1358 indexed citations breakdown →
17.
Bradley, David, et al.. (2004). Simulation synergy : expanding TRNSYS capabilities and usability. PolyPublie (École Polytechnique de Montréal). 1(1).3 indexed citations
Kummert, Michaël, Paúl André, Julien Guiot, & Jacques Nicolas. (1998). Short-term weather forecasting for solar buildings optimal control: an application of neural networks. Open Repository and Bibliography (University of Liège).1 indexed citations
20.
Kummert, Michaël, Paúl André, & Jacques Nicolas. (1996). Development of simplified models for solar buildings optimal control. Open Repository and Bibliography (University of Liège).9 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.