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 carbon nanotube strain sensor for structural health monitoring
2006821 citationsMark J. Schulz, Vesselin Shanov et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Mark J. Schulz
Since
Specialization
Citations
This map shows the geographic impact of Mark J. Schulz'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 Mark J. Schulz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark J. Schulz more than expected).
This network shows the impact of papers produced by Mark J. Schulz. 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 Mark J. Schulz. The network helps show where Mark J. Schulz may publish in the future.
Co-authorship network of co-authors of Mark J. Schulz
This figure shows the co-authorship network connecting the top 25 collaborators of Mark J. Schulz.
A scholar is included among the top collaborators of Mark J. Schulz 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 Mark J. Schulz. Mark J. Schulz is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Schulz, Mark J., M. Cahay, Michael L. Paine, et al.. (2017). Science to Commercialization of Carbon Nanotube Sheet and Yarn. 12.4 indexed citations
10.
Kinash, Shelley, et al.. (2014). Global graduate employability research: A report to the Business20 Human Capital Taskforce (DRAFT).. University of Southern Queensland ePrints (University of Southern Queensland).7 indexed citations
11.
Schulz, Mark J., et al.. (2013). Nanotube Superfiber Materials : Changing Engineering Design. Elsevier eBooks.28 indexed citations
12.
Jayasinghe, Chaminda, Nilanjan Mallik, Yeoheung Yun, et al.. (2008). Extremely Long Multiwall Carbon Nanotube Arrays for Spinning Yarn. Bulletin of the American Physical Society.1 indexed citations
Yun, Yeoheung, Adam Bange, Vesselin Shanov, et al.. (2007). A Carbon Nanotube Needle Biosensor. Journal of Nanoscience and Nanotechnology. 7(7). 2293–2300.10 indexed citations
Ghoshal, Anindya, et al.. (2000). Toward Development Of An Intelligent Rotor System.1 indexed citations
19.
Schulz, Mark J., et al.. (1998). Damage Detection and Impact Testing on Laminated and Sandwich Composite Panels.1 indexed citations
20.
Schulz, Mark J., et al.. (1998). A New Approach to Overcoming Spatial Aliasing in Structural Damage Detection.4 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.