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 two-dimensional Isogeometric Boundary Element Method for elastostatic analysis
2011312 citationsRobert Simpson, Stéphane Bordas et al.profile →
Citations per year, relative to James Trevelyan James Trevelyan (= 1×)
peers
Sven K. Esche
Countries citing papers authored by James Trevelyan
Since
Specialization
Citations
This map shows the geographic impact of James Trevelyan'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 James Trevelyan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Trevelyan more than expected).
This network shows the impact of papers produced by James Trevelyan. 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 James Trevelyan. The network helps show where James Trevelyan may publish in the future.
Co-authorship network of co-authors of James Trevelyan
This figure shows the co-authorship network connecting the top 25 collaborators of James Trevelyan.
A scholar is included among the top collaborators of James Trevelyan 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 James Trevelyan. James Trevelyan is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Simpson, Robert, Stéphane Bordas, James Trevelyan, Pierre Kerfriden, & Timon Rabczuk. (2017). An Isogeometric Boundary Element Method for elastostatic analysis. Publication Server of Weimar Bauhaus-University (Weimar Bauhaus-University).
3.
Trevelyan, James. (2016). Extending Engineering Practice Research with Shared Qualitative Data.. AEE Journal. 5(2). 1–31.19 indexed citations
Yarlagadda, Prasad, Acram Taji, Tony Sahama, et al.. (2013). A model for research supervision of international students in engineering and information technology disciplines. Science & Engineering Faculty.1 indexed citations
Trevelyan, James, et al.. (2009). An engineer's typical day: lessons learned and implications for engineering education. UWA Profiles and Research Repository (University of Western Australia). 637–643.5 indexed citations
9.
Trevelyan, James, et al.. (2009). Engineering Learning and Practice - a Brunei Perspective. UWA Profiles and Research Repository (UWA). 13–18.1 indexed citations
10.
Stappenbelt, Brad, et al.. (2008). Professional development at university: student perceptions of professional engineering practice. UWA Profiles and Research Repository (University of Western Australia).6 indexed citations
11.
Trevelyan, James, et al.. (2007). Cross-Cultural Collaboration in Design Engineering – Influence Factors and Their Impact on Work Performance. Guidelines for a Decision Support Method Adapted to NPD Processes.5 indexed citations
12.
Trevelyan, James, et al.. (2007). Published Research on Engineering Work. Journal of Professional Issues in Engineering Education and Practice. 133(4). 300–307.45 indexed citations
Pan, Jie, et al.. (1996). An investigation of non-linear vibration in single link flexible manipulator. UWA Profiles and Research Repository (University of Western Australia). 469–480.
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.