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.
Applications of shape memory alloys in civil engineering structures—Overview, limits and new ideas
2005390 citationsChristoph Czaderski, Masoud Motavalli et al.profile →
Iron-based shape memory alloy strips for strengthening RC members: Material behavior and characterization
2018179 citationsMoslem Shahverdi, Christoph Czaderski et al.Construction and Building Materialsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Masoud Motavalli
Since
Specialization
Citations
This map shows the geographic impact of Masoud Motavalli'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 Masoud Motavalli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masoud Motavalli more than expected).
Fields of papers citing papers by Masoud Motavalli
This network shows the impact of papers produced by Masoud Motavalli. 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 Masoud Motavalli. The network helps show where Masoud Motavalli may publish in the future.
Co-authorship network of co-authors of Masoud Motavalli
This figure shows the co-authorship network connecting the top 25 collaborators of Masoud Motavalli.
A scholar is included among the top collaborators of Masoud Motavalli 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 Masoud Motavalli. Masoud Motavalli is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Steiger, René, et al.. (2016). On-site dynamic testing of a light-frame timber building. DORA Empa (Swiss Federal Laboratories for Materials Science and Technology (Empa)).1 indexed citations
Weber, Benedikt, et al.. (2013). Thermomechanical characterization of an Fe-Mn-Si-Cr-Ni-VC shape memory alloy for application in prestressed concrete structures. DORA Empa (Swiss Federal Laboratories for Materials Science and Technology (Empa)).1 indexed citations
15.
Motavalli, Masoud, et al.. (2009). Shape memory alloys for civil engineering structures - on the way from vision to reality. DORA Empa (Swiss Federal Laboratories for Materials Science and Technology (Empa)). 2(4). 81–94.13 indexed citations
16.
Czaderski, Christoph, et al.. (2008). Prestressed shear strengthening of a box girder bridge with non-laminated CFRP straps. DORA Empa (Swiss Federal Laboratories for Materials Science and Technology (Empa)).5 indexed citations
Rauterberg, Matthias, et al.. (1995). Physical modelling of environmental sounds. TU/e Research Portal (Eindhoven University of Technology).6 indexed citations
19.
Motavalli, Masoud, et al.. (1995). Analysis and Synthesis of Environmental Sounds. Data Archiving and Networked Services (DANS). 24(1). 73–4.2 indexed citations
20.
Rauterberg, Matthias, et al.. (1995). Synthesis of environmental sounds in multimedia applications. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 77(20). 11–11.1 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.