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.
A Digital Twin predictive maintenance framework of air handling units based on automatic fault detection and diagnostics
2022197 citationsHaidar Hosamo, Paul Ragnar Svennevig et al.Energy and Buildingsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Kjeld Svidt'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 Kjeld Svidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kjeld Svidt more than expected).
This network shows the impact of papers produced by Kjeld Svidt. 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 Kjeld Svidt. The network helps show where Kjeld Svidt may publish in the future.
Co-authorship network of co-authors of Kjeld Svidt
This figure shows the co-authorship network connecting the top 25 collaborators of Kjeld Svidt.
A scholar is included among the top collaborators of Kjeld Svidt 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 Kjeld Svidt. Kjeld Svidt is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Jensen, Rasmus Lund, et al.. (2017). Integrating virtual reality and BIM for end-user involvement in building design:: A case study. VBN Forskningsportal (Aalborg Universitet).1 indexed citations
Svidt, Kjeld, et al.. (2015). Developing students’ collaborative skills in interdisciplinary learning environments. International journal of engineering education. 31(1). 257–266.16 indexed citations
11.
Svidt, Kjeld, et al.. (2012). Building Interdisciplinary Collaboration Skills through a Digital Building Project. VBN Forskningsportal (Aalborg Universitet). 214–215.3 indexed citations
12.
Svidt, Kjeld, et al.. (2011). USER PARTICIPATION IN THE BUILDING PROCESS. Journal of Information Technology in Construction. 16(20). 309–334.29 indexed citations
13.
Svidt, Kjeld, et al.. (2009). Future integrated design environments. Journal of Information Technology in Construction. 14(29). 445–460.8 indexed citations
14.
Svidt, Kjeld, et al.. (2008). TOWARDS LINKING VIRTUAL MODELS WITH PHYSICAL OBJECTS IN CONSTRUCTION USING RFID - REVIEW OF ONTOLOGIES. VBN Forskningsportal (Aalborg Universitet). 418–428.8 indexed citations
15.
Svidt, Kjeld, et al.. (2008). Requirements on 3D Building Information Models and Electronic Communication: Experiences from an Architectural Competition. VBN Forskningsportal (Aalborg Universitet). 231–238.3 indexed citations
16.
Svidt, Kjeld, et al.. (2008). CIB W78 25th International Conference on Information Technology.1 indexed citations
17.
Svidt, Kjeld, et al.. (2006). Experiences from implementation of ICT for resource management in small construction companies. VBN Forskningsportal (Aalborg Universitet).5 indexed citations
Bjerg, Bjarne, et al.. (2002). Modelling of a Wall Inlet in Numerical Simulation of Airflow in Livestock Buildings. eCommons (Cornell University).5 indexed citations
20.
Svidt, Kjeld, et al.. (2002). IT IN COLLABORATIVE BUILDING DESIGN (IT-CODE). 323–331.9 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.