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.
Comments on calculation of temperature in fire-exposed bare steel structures in prEN 1993-1-2: Eurocode 3—design of steel structures—Part 1–2: general rules—structural fire design
This map shows the geographic impact of Ulf Wickström'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 Ulf Wickström with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulf Wickström more than expected).
This network shows the impact of papers produced by Ulf Wickström. 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 Ulf Wickström. The network helps show where Ulf Wickström may publish in the future.
Co-authorship network of co-authors of Ulf Wickström
This figure shows the co-authorship network connecting the top 25 collaborators of Ulf Wickström.
A scholar is included among the top collaborators of Ulf Wickström 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 Ulf Wickström. Ulf Wickström 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.
Sandström, Joakim, Ulf Wickström, Sven Thelandersson, & Ove Lagerqvist. (2017). The Life Safety Objective in Performance-Based Design for Structural Fire Safety. KTH Publication Database DiVA (KTH Royal Institute of Technology).2 indexed citations
Veljković, Milan, et al.. (2011). PREDICTION OF TEMPERATURE VARIATION IN AN EXPERIMENTAL BUILDING. KTH Publication Database DiVA (KTH Royal Institute of Technology). 387–392.1 indexed citations
Wickström, Ulf, et al.. (2010). The use of adiabatic surface temperature to design structures for fire exposure.2 indexed citations
8.
Sandström, Joakim, Ulf Wickström, & Milan Veljković. (2009). Adiabatic surface temperature : a sufficient input data for a thermal model. 102.3 indexed citations
9.
Wickström, Ulf. (2009). Heat transfer and temperature calculations based on plate thermometer measurements. Fire and Materials.2 indexed citations
10.
Wickström, Ulf, et al.. (2009). Validation fire tests on using the adiabatic surface temperature for predicting heat transfer. KTH Publication Database DiVA (KTH Royal Institute of Technology).13 indexed citations
11.
Wickström, Ulf. (2008). Adiabatic Surface Temperature and the Plate Thermometer for Calculating Heat Transfer and Controlling Fire Resistance Furnaces. Fire Safety Science. 9. 1227–1238.25 indexed citations
12.
Wickström, Ulf, Dat Duthinh, & Kevin B. McGrattan. (2007). Adiabatic Surface Temperature for Calculating Heat Transfer to Fire Exposed Structures. | NIST. 2.54 indexed citations
Hees, Patrick Van, et al.. (1999). Prediction of SBI (single burning item) test results by means of cone calorimeter test results. Lund University Publications (Lund University).12 indexed citations
Wickström, Ulf, et al.. (1981). Fire : Full Scale Tests. KTH Publication Database DiVA (KTH Royal Institute of Technology).2 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.