Bojana Bajić
- Industrial and Manufacturing Engineering top 5%
- Management Information Systems top 10%
- Computer Networks and Communications
- Electrical and Electronic Engineering
- Artificial Intelligence
- Co-authors
- Aleksandar RikalovićNikola SuzićVincenzo PiuriMiladin StefanovićDragan SavićSiniša DodićNebojša RalevićJelena Dodić
- Topics
- Digital Transformation in Industry (7 papers)IoT and Edge/Fog Computing (2 papers)Manufacturing Process and Optimization (2 papers)
- Cited by
- Industrial and Manufacturing EngineeringManagement Information SystemsManagement of Technology and Innovation
- Journals
- SustainabilityIEEE Systems JournalInternational Journal of Industrial Engineering and Management
- Partner nations
- SerbiaItalyNetherlands
In The Last Decade
Bojana Bajić
10 papers receiving 231 citations
Peers
Comparison fields: 5 of 60
- Industrial and Manufacturing Engineering 151
- Management Information Systems 59
- Computer Networks and Communications 56
- Electrical and Electronic Engineering 28
- Artificial Intelligence 26
Countries citing papers authored by Bojana Bajić
This map shows the geographic impact of Bojana Bajić'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 Bojana Bajić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bojana Bajić more than expected).
Fields of papers citing papers by Bojana Bajić
This network shows the impact of papers produced by Bojana Bajić. 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 Bojana Bajić. The network helps show where Bojana Bajić may publish in the future.
Co-authorship network of co-authors of Bojana Bajić
This figure shows the co-authorship network connecting the top 25 collaborators of Bojana Bajić. A scholar is included among the top collaborators of Bojana Bajić 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 Bojana Bajić. Bojana Bajić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 24 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 5 | |
| 7 | 46 | |
| 8 | 3 | |
| 9 | 24 | |
| 10 | 129 | |
| 11 | 0 |
About Bojana Bajić
Bojana Bajić is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Computer Networks and Communications, having authored 11 papers that have together received 250 indexed citations. Recurring topics across this work include Digital Transformation in Industry (7 papers), IoT and Edge/Fog Computing (2 papers) and Manufacturing Process and Optimization (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (151 citations), Management Information Systems (59 citations) and Management of Technology and Innovation (21 citations). Bojana Bajić has collaborated with scholars based in Serbia, Italy and Netherlands. Frequent co-authors include Aleksandar Rikalović, Nikola Suzić, Vincenzo Piuri, Miladin Stefanović, Dragan Savić, Siniša Dodić, Nebojša Ralević, Jelena Dodić, Zoran Radovanović and Damjan Vučurović. Their work appears in journals such as Sustainability, IEEE Systems Journal and International Journal of Industrial Engineering and Management.
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.