Ivana Palunko

51 total papers · 1.7k total citations
33 papers, 1.2k citations indexed

About

Ivana Palunko is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Ivana Palunko has authored 33 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Control and Systems Engineering, 15 papers in Computer Networks and Communications and 11 papers in Aerospace Engineering. Recurrent topics in Ivana Palunko's work include Distributed Control Multi-Agent Systems (14 papers), Adaptive Control of Nonlinear Systems (10 papers) and Robotic Path Planning Algorithms (8 papers). Ivana Palunko is often cited by papers focused on Distributed Control Multi-Agent Systems (14 papers), Adaptive Control of Nonlinear Systems (10 papers) and Robotic Path Planning Algorithms (8 papers). Ivana Palunko collaborates with scholars based in Croatia, United States and Netherlands. Ivana Palunko's co-authors include Rafael Fierro, Patricio J. Cruz, Domagoj Tolić, Lucian Buşoniu, Jens Kober, Tim de Bruin, Lydia Tapia, Aleksandra Faust, Stjepan Bogdan and Frank L. Lewis and has published in prestigious journals such as IEEE Access, Artificial Intelligence and Journal of the Franklin Institute.

In The Last Decade

Ivana Palunko

29 papers receiving 1.2k citations

Hit Papers

Reinforcement learning fo... 2018 2026 2020 2023 2018 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ivana Palunko 819 402 388 299 179 33 1.2k
Patricio J. Cruz 722 0.9× 420 1.0× 441 1.1× 334 1.1× 93 0.5× 42 1.1k
Enhui Zheng 705 0.9× 540 1.3× 380 1.0× 258 0.9× 143 0.8× 51 1.3k
Abbas Chamseddine 966 1.2× 324 0.8× 217 0.6× 206 0.7× 150 0.8× 37 1.3k
Joaquín Carrasco 887 1.1× 222 0.6× 290 0.7× 287 1.0× 182 1.0× 83 1.6k
T. John Koo 657 0.8× 551 1.4× 425 1.1× 209 0.7× 127 0.7× 33 1.2k
Zikang Su 434 0.5× 830 2.1× 485 1.3× 222 0.7× 150 0.8× 48 1.2k
Sergei Lupashin 582 0.7× 637 1.6× 578 1.5× 221 0.7× 116 0.6× 19 1.2k
T. Madani 1.3k 1.6× 590 1.5× 222 0.6× 328 1.1× 91 0.5× 32 1.8k
Jing‐Jing Xiong 1.1k 1.3× 504 1.3× 160 0.4× 438 1.5× 90 0.5× 24 1.3k
Sergio Salazar 950 1.2× 552 1.4× 283 0.7× 333 1.1× 116 0.6× 109 1.4k

Countries citing papers authored by Ivana Palunko

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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