Dragana Bajović
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Computational Mechanics top 10%
- Control and Systems Engineering
- Co-authors
- João XavierBruno SinopoliDušan JakovetićJosé M. F. MouraDejan VukobratovićVladimir CrnojevićBamidele AdebisiKelvin Anoh
- Topics
- Distributed Sensor Networks and Detection Algorithms (20 papers)Distributed Control Multi-Agent Systems (13 papers)Sparse and Compressive Sensing Techniques (11 papers)
- Journals
- Proceedings of the IEEEIEEE Transactions on Information TheoryIEEE Transactions on Signal Processing
- Partner nations
- SerbiaUnited StatesPortugal
In The Last Decade
Dragana Bajović
46 papers receiving 508 citations
Peers
Comparison fields: 5 of 62
- Computer Networks and Communications 359
- Artificial Intelligence 204
- Electrical and Electronic Engineering 176
- Computational Mechanics 72
- Control and Systems Engineering 59
Countries citing papers authored by Dragana Bajović
This map shows the geographic impact of Dragana Bajović'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 Dragana Bajović with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dragana Bajović more than expected).
Fields of papers citing papers by Dragana Bajović
This network shows the impact of papers produced by Dragana Bajović. 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 Dragana Bajović. The network helps show where Dragana Bajović may publish in the future.
Co-authorship network of co-authors of Dragana Bajović
This figure shows the co-authorship network connecting the top 25 collaborators of Dragana Bajović. A scholar is included among the top collaborators of Dragana Bajović 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 Dragana Bajović. Dragana Bajović is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 14 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 7 | |
| 9 | 47 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 30 | |
| 15 | Slotted Aloha for Networked Base Stations: Algorithms and Performance | 1 |
| 16 | 18 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 66 | |
| 20 | 19 |
About Dragana Bajović
Dragana Bajović is a scholar working on Computer Networks and Communications, Computational Mechanics and Artificial Intelligence, having authored 52 papers that have together received 522 indexed citations. Recurring topics across this work include Distributed Sensor Networks and Detection Algorithms (20 papers), Distributed Control Multi-Agent Systems (13 papers) and Sparse and Compressive Sensing Techniques (11 papers). The work is most often cited by research in Computer Networks and Communications (359 citations), Artificial Intelligence (204 citations) and Computational Mechanics (72 citations). Dragana Bajović has collaborated with scholars based in Serbia, United States and Portugal. Frequent co-authors include João Xavier, Bruno Sinopoli, Dušan Jakovetić, José M. F. Moura, Dejan Vukobratović, Vladimir Crnojević, Bamidele Adebisi, Kelvin Anoh, Nemanja Milošević and Soummya Kar. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.
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.