Ivana Palunko
- Control and Systems Engineering top 1%
- Aerospace Engineering top 5%
- Computer Vision and Pattern Recognition top 2%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Co-authors
- Rafael FierroPatricio J. CruzDomagoj TolićLucian BuşoniuJens KoberTim de BruinLydia TapiaAleksandra Faust
- Topics
- Distributed Control Multi-Agent Systems (14 papers)Adaptive Control of Nonlinear Systems (10 papers)Robotic Path Planning Algorithms (8 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionAerospace Engineering
- Partner nations
- CroatiaUnited StatesNetherlands
In The Last Decade
Ivana Palunko
30 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Control and Systems Engineering 821
- Aerospace Engineering 402
- Computer Vision and Pattern Recognition 388
- Computer Networks and Communications 299
- Artificial Intelligence 180
Countries citing papers authored by Ivana Palunko
This map shows the geographic impact of Ivana Palunko'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 Ivana Palunko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivana Palunko more than expected).
Fields of papers citing papers by Ivana Palunko
This network shows the impact of papers produced by Ivana Palunko. 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 Ivana Palunko. The network helps show where Ivana Palunko may publish in the future.
Co-authorship network of co-authors of Ivana Palunko
This figure shows the co-authorship network connecting the top 25 collaborators of Ivana Palunko. A scholar is included among the top collaborators of Ivana Palunko 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 Ivana Palunko. Ivana Palunko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | 12 | |
| 11 | 0 | |
| 12 | 3 | |
| 13 | 132 | |
| 14 | 13 | |
| 15 | 12 | |
| 16 | 63 | |
| 17 | 196 | |
| 18 | 225 | |
| 19 | 11 | |
| 20 | 106 |
About Ivana Palunko
Ivana Palunko is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Aerospace Engineering, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (14 papers), Adaptive Control of Nonlinear Systems (10 papers) and Robotic Path Planning Algorithms (8 papers). The work is most often cited by research in Control and Systems Engineering (821 citations), Computer Vision and Pattern Recognition (388 citations) and Aerospace Engineering (402 citations). Ivana Palunko has collaborated with scholars based in Croatia, United States and Netherlands. Frequent co-authors include Rafael Fierro, Patricio J. Cruz, Domagoj Tolić, Lucian Buşoniu, Jens Kober, Tim de Bruin, Lydia Tapia, Aleksandra Faust, Stjepan Bogdan and Brian P. Griffin. Their work appears in journals such as IEEE Access, Artificial Intelligence and Journal of the Franklin Institute.
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.