Dragan Bojić

542 total citations
28 papers, 158 citations indexed

About

Dragan Bojić is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Dragan Bojić has authored 28 papers receiving a total of 158 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Information Systems, 13 papers in Artificial Intelligence and 12 papers in Software. Recurrent topics in Dragan Bojić's work include Software Engineering Research (10 papers), Advanced Software Engineering Methodologies (5 papers) and Educational Technology and Assessment (5 papers). Dragan Bojić is often cited by papers focused on Software Engineering Research (10 papers), Advanced Software Engineering Methodologies (5 papers) and Educational Technology and Assessment (5 papers). Dragan Bojić collaborates with scholars based in Serbia, United States and Germany. Dragan Bojić's co-authors include Jovan Popović, Veljko Milutinović, Rainer Koschke, Jelica Protić, Daniel Simon, Thomas Eisenbarth, Milo Tomašević, Mateo Valero and Nemanja Trifunović and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Software Engineering and Journal Of Big Data.

In The Last Decade

Dragan Bojić

26 papers receiving 143 citations

Peers

Dragan Bojić
Thomas Gschwind Austria
Aryaz Eghbali Germany
Daoguang Zan China
Arno Puder United States
Yuchao Huang Canada
Hugo Pacheco Portugal
Mitja Lenič Slovenia
Rafael S. Durelli Brazil
Fatemeh H. Fard Canada
Rahul Krishna United States
Thomas Gschwind Austria
Dragan Bojić
Citations per year, relative to Dragan Bojić Dragan Bojić (= 1×) peers Thomas Gschwind

Countries citing papers authored by Dragan Bojić

Since Specialization
Citations

This map shows the geographic impact of Dragan Bojić'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 Dragan Bojić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dragan Bojić more than expected).

Fields of papers citing papers by Dragan Bojić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dragan Bojić. 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 Dragan Bojić. The network helps show where Dragan Bojić may publish in the future.

Co-authorship network of co-authors of Dragan Bojić

This figure shows the co-authorship network connecting the top 25 collaborators of Dragan Bojić. A scholar is included among the top collaborators of Dragan Bojić 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 Dragan Bojić. Dragan Bojić 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.
Bojić, Dragan, et al.. (2024). Quality assurance strategies for machine learning applications in big data analytics: an overview. Journal Of Big Data. 11(1). 8 indexed citations
2.
Bojić, Dragan, et al.. (2021). An automated framework for runtime analysis of malicious executables on Linux. SHILAP Revista de lepidopterología. 13(2). 87–91.
3.
Bojić, Dragan, et al.. (2021). A Survey on Problem Formulations and (Meta)Heuristic-Based Solutions in Automated Assembly of Parallel Test Forms. International Journal of Software Engineering and Knowledge Engineering. 31(8). 1171–1212. 1 indexed citations
4.
Bojić, Dragan, et al.. (2020). A framework for automated dynamic malware analysis for Linux. 3. 1–4. 4 indexed citations
5.
Bojić, Dragan, et al.. (2018). A Survey of Deep Neural Networks: Deployment Location and Underlying Hardware. 1–6. 7 indexed citations
6.
Tomašević, Milo, et al.. (2017). Improving schema issue advisor in the Azure SQL database. 1–4. 2 indexed citations
7.
Popović, Jovan, et al.. (2017). Developing algorithmic skills of pupils in Serbian schools using code.org materials. 1–4. 3 indexed citations
8.
Protić, Jelica, et al.. (2015). Automating the knowledge assessment workflow for large student groups: A development experience. International journal of engineering education. 31(4). 1058–1070. 2 indexed citations
9.
Popović, Jovan, et al.. (2015). Analysis of task effort estimation accuracy based on use case point size. IET Software. 9(6). 166–173. 14 indexed citations
10.
Popović, Jovan, et al.. (2015). Enhancing use case point estimation method using fuzzy algorithms. 1. 886–889. 2 indexed citations
11.
Bojić, Dragan, et al.. (2015). Potential of knowledge discovery in automated test assembly. 7(2). 108–112. 1 indexed citations
12.
Bojić, Dragan, et al.. (2014). Evaluation and classification of syntax usage in determining short-text semantic similarity. 6(1). 64–68. 1 indexed citations
13.
Popović, Jovan & Dragan Bojić. (2011). A comparative evaluation of effort estimation methods in the software life cycle. Computer Science and Information Systems. 9(1). 455–484. 22 indexed citations
14.
Bojić, Dragan, et al.. (2005). mobilePDR : A Mobile Medical Information System Featuring Update via Internet. IEEE Transactions on Information Technology in Biomedicine. 9(1). 1–3. 11 indexed citations
15.
Bojić, Dragan, et al.. (2004). Addendum to "Locating features in source code". IEEE Transactions on Software Engineering. 30(2). 140–140. 3 indexed citations
16.
17.
Bojić, Dragan, et al.. (2001). A Method for Reverse Engineering of Use Case Realisations in UML. AJIS. Australasian journal of information systems/AJIS. Australian journal of information systems/Australian journal of information systems. 8(2). 3 indexed citations
18.
Bojić, Dragan, et al.. (2000). Reverse engineering of use case realizations in UML. 741–747. 8 indexed citations
19.
Bojić, Dragan, et al.. (2000). Reverse Engineering of Use Case Realizations in UML. ACM SIGSOFT Software Engineering Notes. 25(4). 56–61. 1 indexed citations
20.
Bojić, Dragan, et al.. (1999). A classification of reverse engineering tools and criteria for their evaluation and selection. Yugoslav journal of operations research. 9(2). 257–271.

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.

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