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.
Transforming business using digital innovations: the application of AI, blockchain, cloud and data analytics
2020333 citationsShahriar Akter, Grace McCarthy et al.profile →
Algorithmic bias in data-driven innovation in the age of AI
2021209 citationsShahriar Akter, Grace McCarthy et al.profile →
A framework for AI-powered service innovation capability: Review and agenda for future research
2023122 citationsShahriar Akter, Md Afnan Hossain et al.Technovationprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Grace McCarthy
Since
Specialization
Citations
This map shows the geographic impact of Grace McCarthy'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 Grace McCarthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grace McCarthy more than expected).
This network shows the impact of papers produced by Grace McCarthy. 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 Grace McCarthy. The network helps show where Grace McCarthy may publish in the future.
Co-authorship network of co-authors of Grace McCarthy
This figure shows the co-authorship network connecting the top 25 collaborators of Grace McCarthy.
A scholar is included among the top collaborators of Grace McCarthy 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 Grace McCarthy. Grace McCarthy 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.
Akter, Shahriar, Md Afnan Hossain, Shahriar Sajib, et al.. (2023). A framework for AI-powered service innovation capability: Review and agenda for future research. Technovation. 125. 102768–102768.122 indexed citations breakdown →
McCarthy, Grace, et al.. (2015). Coachable moments: Identifying factors that influence managers to take advantage of coachable moments in day-to-day management. SHILAP Revista de lepidopterología.9 indexed citations
8.
McCarthy, Grace. (2015). Motivating and Enabling Adult Learners to Develop Research Skills.. Research Online (University of Wollongong). 55(2). 309–330.10 indexed citations
McCarthy, Grace. (2013). Sharing the research journey - fostering a love of research in coursework Masters students. Research Online (University of Wollongong). 281.1 indexed citations
11.
McCarthy, Grace. (2012). VIRTUAL TEAMS AND BLENDED LEARNING. Research Online (University of Wollongong). 4867–4876.1 indexed citations
Smith, Philip, Lindsay G. Oades, & Grace McCarthy. (2012). Homophobia to heterosexism: constructs in need of re-visitation. Research Online (University of Wollongong). 8(1). 34–44.13 indexed citations
14.
McCarthy, Grace, et al.. (2011). Challenges of the coaching manager. Research Online (University of Wollongong).1 indexed citations
15.
McCarthy, Grace. (2010). Approaches to the postgraduate education of business coaches. Research Online (University of Wollongong). 50(2). 323–356.11 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.