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.
Technology acceptance model: a literature review from 1986 to 2013
20141.5k citationsNikola Marangunić, Andrina GranićUniversal Access in the Information Societyprofile →
Technology acceptance model in educational context: A systematic literature review
2019666 citationsAndrina Granić, Nikola Marangunićprofile →
Educational Technology Adoption: A systematic review
2022149 citationsAndrina GranićEducation and Information Technologiesprofile →
The Technology Acceptance Model
202488 citationsFred D. Davis, Andrina Granićprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Andrina Granić
Since
Specialization
Citations
This map shows the geographic impact of Andrina Granić'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 Andrina Granić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrina Granić more than expected).
This network shows the impact of papers produced by Andrina Granić. 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 Andrina Granić. The network helps show where Andrina Granić may publish in the future.
Co-authorship network of co-authors of Andrina Granić
This figure shows the co-authorship network connecting the top 25 collaborators of Andrina Granić.
A scholar is included among the top collaborators of Andrina Granić 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 Andrina Granić. Andrina Granić is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Xenos, Michalis, et al.. (2015). Enhancing Learning on Information Security Using 3D Virtual World Learning Environment. International Conference on Information Society. 307–312.2 indexed citations
Marangunić, Nikola & Andrina Granić. (2014). Technology acceptance model: a literature review from 1986 to 2013. Universal Access in the Information Society. 14(1). 81–95.1494 indexed citations breakdown →
13.
Graf, Sabine, et al.. (2013). Exploring the Adaptation to Learning Styles: The Case of AdaptiveLesson Module for Moodle. Lecture notes in computer science. 7946. 534–550.1 indexed citations
14.
Granić, Andrina & Maja Ćukušić. (2011). Usability Testing and Expert Inspections Complemented by Educational Evaluation: A Case Study of an e-Learning Platform. Educational Technology & Society. 14(2). 107–123.51 indexed citations
15.
Granić, Andrina, et al.. (2010). The design of a web page prediction tool. Information Technology Interfaces. 263–268.
16.
Granić, Andrina, et al.. (2009). User Individual Differences in Intelligent Interaction: Do They Matter?. Lecture notes in computer science. 5615. 694.
Granić, Andrina, et al.. (2007). Designing Intelligent Interfaces for e-Learning Systems: The Role of User Individual Characteristics. Lecture notes in computer science. 4556. 627.1 indexed citations
19.
Granić, Andrina, Slavomir Stankov, & Vlado Glavinić. (2000). User interface aspects of an intelligent tutoring system. Information Technology Interfaces. 157–164.1 indexed citations
20.
Granić, Andrina & Vlado Glavinić. (2000). Adaptability of User Interfaces for Intelligent Tutoring Systems. 369–372.1 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.