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.
Sentiment Analysis in Tourism: Capitalizing on Big Data
2017417 citationsSusanne Becken, Bela Stantić et al.profile →
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 Bela Stantić'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 Bela Stantić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bela Stantić more than expected).
This network shows the impact of papers produced by Bela Stantić. 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 Bela Stantić. The network helps show where Bela Stantić may publish in the future.
Co-authorship network of co-authors of Bela Stantić
This figure shows the co-authorship network connecting the top 25 collaborators of Bela Stantić.
A scholar is included among the top collaborators of Bela Stantić 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 Bela Stantić. Bela Stantić is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Becken, Susanne, et al.. (2020). Integrating social sciences research with artificial intelligence (AI): A case study from the Great Barrier Reef. 130.2 indexed citations
Hargroves, Karlson, Daniel J. Conley, & Bela Stantić. (2019). 'The Potential for Blockchain and Artificial Intelligence to Enhance the Transport Sector. eSpace (Curtin University).2 indexed citations
10.
Stantić, Bela, et al.. (2015). A Novel Framework to Describe Technical Accessibility of Open Data. Griffith Research Online (Griffith University, Queensland, Australia).1 indexed citations
11.
Stantić, Bela, et al.. (2012). Indexing RFID data using the VG-curve. Griffith Research Online (Griffith University, Queensland, Australia). 124. 117–126.1 indexed citations
12.
Stantić, Bela, et al.. (2012). The Integration of Ontologies and RFID NFC in Healthcare. Griffith Research Online (Griffith University, Queensland, Australia).1 indexed citations
13.
Stantić, Bela, et al.. (2010). X-CleLo: Intelligent Deterministic RFID Data Transformer. Griffith Research Online (Griffith University, Queensland, Australia). 59–68.1 indexed citations
14.
Stantić, Bela, et al.. (2010). Building a dynamic classifier for large text data collections. Griffith Research Online (Griffith University, Queensland, Australia). 113–122.6 indexed citations
15.
Stantić, Bela, et al.. (2010). Dynamic framed-slot ALOHA anti-collision using precise tag estimation scheme. Griffith Research Online (Griffith University, Queensland, Australia). 19–28.6 indexed citations
16.
Stantić, Bela, et al.. (2009). Improving the quality of RFID Data by Utilising a Bayesian Network Cleaning Method. Griffith Research Online (Griffith University, Queensland, Australia). 94–99.2 indexed citations
17.
Stantić, Bela, et al.. (2009). Unified Q-ary tree for RFID tag anti-collision resolution. Griffith Research Online (Griffith University, Queensland, Australia). 47–56.13 indexed citations
18.
Stantić, Bela, Guido Governatori, & Abdul Sattar. (2006). Handling of current time in native XML databases. Griffith Research Online (Griffith University, Queensland, Australia). 49(1). 175–182.
19.
Astrova, Irina & Bela Stantić. (2004). Reverse Engineering of Relational Databases to Ontologies: An Approach Based on an Analysis of HTML Forms. Griffith Research Online (Griffith University, Queensland, Australia).12 indexed citations
20.
Stantić, Bela, et al.. (2004). An efficient method for indexing now-relative bitemporal data. Griffith Research Online (Griffith University, Queensland, Australia). 113–122.6 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.