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.
EnergyPlus: creating a new-generation building energy simulation program
20012.1k citationsDrury B. Crawley, Linda K. Lawrie et al.Energy and Buildingsprofile →
Countries citing papers authored by F.C. Winkelmann
Since
Specialization
Citations
This map shows the geographic impact of F.C. Winkelmann'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 F.C. Winkelmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F.C. Winkelmann more than expected).
This network shows the impact of papers produced by F.C. Winkelmann. 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 F.C. Winkelmann. The network helps show where F.C. Winkelmann may publish in the future.
Co-authorship network of co-authors of F.C. Winkelmann
This figure shows the co-authorship network connecting the top 25 collaborators of F.C. Winkelmann.
A scholar is included among the top collaborators of F.C. Winkelmann 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 F.C. Winkelmann. F.C. Winkelmann 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.
Winkelmann, F.C.. (2014). LIFE-CYCLE COST AND ENERGY-USE ANALYSIS OF SUN-CONTROL AND DAYLIGHTING OPTIONS IN A HIGH-RISE OFFICE BUILDING. Energy and Buildings.
2.
Winkelmann, F.C.. (2010). 2.1E Supplement. Lawrence Berkeley National Laboratory.
3.
Crawley, Drury B., Linda K. Lawrie, C.O. Pedersen, et al.. (2004). ENERGYPLUS: AN UPDATE. Proceedings of SimBuild. 1(1).40 indexed citations
4.
Crawley, Drury B., Linda K. Lawrie, C.O. Pedersen, et al.. (2004). Energyplus: New, capable, and linked. Journal of International Crisis and Risk Communication Research. 21(4). 292–302.62 indexed citations
5.
Crawley, Drury B., Linda K. Lawrie, F.C. Winkelmann, et al.. (2001). EnergyPlus: creating a new-generation building energy simulation program. Energy and Buildings. 33(4). 319–331.2058 indexed citations breakdown →
Ward, Gregory J., et al.. (1995). Algorithms for modeling secondary solar heat gain. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).1 indexed citations
Buhl, W.F., et al.. (1993). Recent Improvements in Spark: Strong Component Decomposition, Multivalued Objects and Graphical Interface. University of North Texas Digital Library (University of North Texas).25 indexed citations
Buhl, W.F., et al.. (1990). Overview of the DOE-2 building energy analysis program, Version 2. 1D. eScholarship (California Digital Library).26 indexed citations
Selkowitz, Stephen & F.C. Winkelmann. (1983). NEW MODELS FOR ANALYZING THE THERMAL AND DAYLIGHTING PERFORMANCE OF FENESTRATION. eScholarship (California Digital Library).
18.
Selkowitz, Stephen, et al.. (1982). THE DOE-2 AND SUPERLITE DAYLIGHTING PROGRAMS. eScholarship (California Digital Library).7 indexed citations
19.
Johnson, Rucker C., et al.. (1981). Glazing-optimization study for energy efficiency in commercial office buildings. eScholarship (California Digital Library).3 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.