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.
Drivers, barriers and social considerations for AI adoption in business and management: A tertiary study
2020206 citationsMarija ČubrićTechnology in Societyprofile →
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 Marija Čubrić'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 Marija Čubrić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marija Čubrić more than expected).
This network shows the impact of papers produced by Marija Čubrić. 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 Marija Čubrić. The network helps show where Marija Čubrić may publish in the future.
Co-authorship network of co-authors of Marija Čubrić
This figure shows the co-authorship network connecting the top 25 collaborators of Marija Čubrić.
A scholar is included among the top collaborators of Marija Čubrić 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 Marija Čubrić. Marija Čubrić is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Čubrić, Marija. (2020). Drivers, barriers and social considerations for AI adoption in business and management: A tertiary study. Technology in Society. 62. 101257–101257.206 indexed citations breakdown →
Čubrić, Marija, et al.. (2013). Planning for Success in Introducing and Embedding Technology to Enhance Learning. University of Hertfordshire Research Archive (University of Hertfordshire).
Čubrić, Marija, et al.. (2012). Evaluating Electronic Voting Systems (EEVS) : Final report for JISC Assessment and Feedback Programme, Strand B. University of Hertfordshire Research Archive (University of Hertfordshire).2 indexed citations
10.
Čubrić, Marija. (2011). What is the innovation beyond the 'state of the art' in e-learning?. University of Hertfordshire Research Archive (University of Hertfordshire).1 indexed citations
11.
Čubrić, Marija, et al.. (2011). Towards automatic generation of e-assessment using semantic web technologies. University of Hertfordshire Research Archive (University of Hertfordshire). 1(1).34 indexed citations
12.
Čubrić, Marija. (2011). Wiki-supported collaborative learning. University of Hertfordshire Research Archive (University of Hertfordshire).2 indexed citations
Čubrić, Marija, et al.. (2009). SeMCQ – Protégé Plugin for Automatic Ontology-Driven Multiple Choice Question Tests Generation. University of Hertfordshire Research Archive (University of Hertfordshire).10 indexed citations
15.
Čubrić, Marija, et al.. (2009). Scaling up wiki-based blended learning environment. University of Hertfordshire Research Archive (University of Hertfordshire).
16.
Čubrić, Marija, et al.. (2009). A Semantic Web Framework for Generating Collaborative E-learning Environments. 4(3). 4–7.2 indexed citations
17.
Čubrić, Marija. (2008). Agile learning & teaching with wikis. University of Hertfordshire Research Archive (University of Hertfordshire). 1–2.5 indexed citations
Čubrić, Marija, et al.. (2007). Simple e-learning semantic tool. University of Hertfordshire Research Archive (University of Hertfordshire).2 indexed citations
20.
Čubrić, Marija. (2007). Good practice in using wikis to enhance learning, student support and retention for business students. University of Hertfordshire Research Archive (University of Hertfordshire).2 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.