This map shows the geographic impact of Fedja Hadzic'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 Fedja Hadzic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fedja Hadzic more than expected).
This network shows the impact of papers produced by Fedja Hadzic. 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 Fedja Hadzic. The network helps show where Fedja Hadzic may publish in the future.
Co-authorship network of co-authors of Fedja Hadzic
This figure shows the co-authorship network connecting the top 25 collaborators of Fedja Hadzic.
A scholar is included among the top collaborators of Fedja Hadzic 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 Fedja Hadzic. Fedja Hadzic is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Leenheer, Pieter De, et al.. (2012). Patient and business rules extraction and formalisation using SVN and SBVR for automated healthcare. eSpace (Curtin University).
Hadzic, Fedja, Henry Tan, & Tharam S. Dillon. (2010). Mining of Data with Complex Structures. Studies in computational intelligence.10 indexed citations
7.
Tan, Henry, Fedja Hadzic, Tharam S. Dillon, et al.. (2008). Tree model guided candidate generation for mining frequent subtrees from XML. ACM Transactions on Knowledge Discovery from Data. 2(2). 1–43.21 indexed citations
8.
Tan, Henry, Fedja Hadzic, Tharam S. Dillon, & Elizabeth Chang. (2008). State of the art of data mining of tree structured information. eSpace (Curtin University). 23(4). 255–270.3 indexed citations
9.
Hadzic, Maja, Fedja Hadzic, & Tharam S. Dillon. (2008). Mining of health information from ontologies. eSpace (Curtin University). 155–160.2 indexed citations
10.
Hadzic, Fedja, Tharam S. Dillon, & Elizabeth Chang. (2008). Knowledge Analysis with Tree Patterns. eSpace (Curtin University). 66. 369–369.1 indexed citations
Hadzic, Fedja & Tharam S. Dillon. (2006). Using the symmetrical Tau criterion for feature selection decision tree and neural network learning. eSpace (Curtin University). 107–114.2 indexed citations
18.
Hadzic, Fedja, Tharam S. Dillon, Amandeep S. Sidhu, Elizabeth Chang, & Henry Tan. (2006). Mining Substructures in Protein Data. 213–217.10 indexed citations
19.
Tan, Hua, et al.. (2005). MB3-Miner: efficiently mining eMBedded subTREEs using Tree Model Guided candidate generation. University of Twente Research Information. 103–110.2 indexed citations
20.
Chang, Elizabeth, Hua Tan, Tharam S. Dillon, Fedja Hadzic, & Ling Feng. (2005). MB3-Miner: Efficient mining eMBedded subTREEs using tree model guided candidate generation. eSpace (Curtin University). 103–110.
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.