Zoran Najdovski

1.1k total citations · 1 hit paper
50 papers, 770 citations indexed

About

Zoran Najdovski is a scholar working on Mechanical Engineering, Control and Systems Engineering and Cognitive Neuroscience. According to data from OpenAlex, Zoran Najdovski has authored 50 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Mechanical Engineering, 14 papers in Control and Systems Engineering and 14 papers in Cognitive Neuroscience. Recurrent topics in Zoran Najdovski's work include Teleoperation and Haptic Systems (22 papers), Tactile and Sensory Interactions (13 papers) and Virtual Reality Applications and Impacts (7 papers). Zoran Najdovski is often cited by papers focused on Teleoperation and Haptic Systems (22 papers), Tactile and Sensory Interactions (13 papers) and Virtual Reality Applications and Impacts (7 papers). Zoran Najdovski collaborates with scholars based in Australia, Japan and United States. Zoran Najdovski's co-authors include Saeid Nahavandi, Toshio Fukuda, Chaoyang Shi, Hongliang Ren, Xióngbiāo Luó, Tianliang Li, Peng Qi, Shuang Song, Ben Horan and Hamid Abdi and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Zoran Najdovski

45 papers receiving 750 citations

Hit Papers

Shape Sensing Techniques for Continuum Robots in Minimall... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Zoran Najdovski Australia 14 422 221 202 147 119 50 770
Michael D. M. Kutzer United States 16 438 1.0× 207 0.9× 226 1.1× 180 1.2× 55 0.5× 54 817
Yong Bum Kim South Korea 14 578 1.4× 153 0.7× 274 1.4× 111 0.8× 193 1.6× 36 818
Anzhu Gao China 20 861 2.0× 258 1.2× 213 1.1× 259 1.8× 102 0.9× 55 1.1k
P.N. Brett United Kingdom 17 437 1.0× 137 0.6× 108 0.5× 230 1.6× 91 0.8× 74 934
Ulrich Seibold Germany 10 663 1.6× 273 1.2× 190 0.9× 398 2.7× 76 0.6× 22 834
Dong-Yeop Seok South Korea 12 491 1.2× 136 0.6× 224 1.1× 108 0.7× 95 0.8× 19 613
Marcin Balicki United States 19 1.1k 2.6× 190 0.9× 97 0.5× 255 1.7× 115 1.0× 34 1.5k
Siyang Zuo China 17 610 1.4× 162 0.7× 128 0.6× 210 1.4× 100 0.8× 89 1.2k
Hongbo Wang China 18 670 1.6× 123 0.6× 215 1.1× 149 1.0× 37 0.3× 152 1.1k
Zhenglong Sun China 24 854 2.0× 288 1.3× 303 1.5× 480 3.3× 154 1.3× 105 1.7k

Countries citing papers authored by Zoran Najdovski

Since Specialization
Citations

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

Fields of papers citing papers by Zoran Najdovski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zoran Najdovski

This figure shows the co-authorship network connecting the top 25 collaborators of Zoran Najdovski. A scholar is included among the top collaborators of Zoran Najdovski 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 Zoran Najdovski. Zoran Najdovski 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.
Najdovski, Zoran, et al.. (2025). Deterministic delay-aware reinforcement learning. Robotics and Autonomous Systems. 197. 105271–105271.
2.
Hosen, Mohammad Anwar, et al.. (2025). Advances and Trends in Terrain Classification Methods for Off‐Road Perception. Journal of Field Robotics. 42(7). 3515–3544. 1 indexed citations
5.
Najdovski, Zoran, Siamak Pedrammehr, Mohammad Reza Chalak Qazani, et al.. (2024). HaptiScan: A Haptically-Enabled Robotic Ultrasound System for Remote Medical Diagnostics. Robotics. 13(11). 164–164. 5 indexed citations
6.
Qazani, Mohammad Reza Chalak, Houshyar Asadi, Zoran Najdovski, et al.. (2024). High-fidelity learning-based motion cueing algorithm by bypassing worst-case scenario-based tuning technique. SHILAP Revista de lepidopterología. 4. 116–127.
7.
Qazani, Mohammad Reza Chalak, et al.. (2023). A Development of Time-Varying Weight Model Predictive Control for Autonomous Vehicles. 3480–3486. 4 indexed citations
8.
Mohajer, Navid, Mohammad Rokonuzzaman, Darius Nahavandi, et al.. (2020). Effects of Road Path Profiles on Autonomous Vehicles’ Handling Behaviour. 1–6. 10 indexed citations
9.
Pedrammehr, Siamak, Zoran Najdovski, Hamid Abdi, & Saeid Nahavandi. (2017). Design methodology for a hexarot-based centrifugal high-G simulator. 3255–3260. 10 indexed citations
10.
Li, Tianliang, Yuegang Tan, Chaoyang Shi, et al.. (2017). A High-Sensitivity Fiber Bragg Grating Displacement Sensor Based on Transverse Property of a Tensioned Optical Fiber Configuration and Its Dynamic Performance Improvement. IEEE Sensors Journal. 17(18). 5840–5848. 38 indexed citations
11.
Shi, Chaoyang, Xióngbiāo Luó, Peng Qi, et al.. (2016). Shape Sensing Techniques for Continuum Robots in Minimally Invasive Surgery: A Survey. IEEE Transactions on Biomedical Engineering. 64(8). 1665–1678. 308 indexed citations breakdown →
12.
Jung, Jaehoon, Masahiro Nakajima, Masaru Takeuchi, et al.. (2016). Microfluidic Device to Measure the Speed of C. elegans Using the Resistance Change of the Flexible Electrode. Micromachines. 7(3). 50–50. 11 indexed citations
13.
Wei, Lei, Zoran Najdovski, Saeid Nahavandi, & Harrison S. Weisinger. (2014). Towards a haptically enabled optometry training simulator. Network Modeling Analysis in Health Informatics and Bioinformatics. 3(1). 9 indexed citations
14.
Shi, Chaoyang, M. Kojima, Hitomi Anzai, et al.. (2013). In vitro strain measurements in cerebral aneurysm models for cyber‐physical diagnosis. International Journal of Medical Robotics and Computer Assisted Surgery. 9(2). 213–222. 8 indexed citations
15.
Abdi, Hamid, Saeid Nahavandi, Zoran Najdovski, & Anthony A. Maciejewski. (2012). Fault-Tolerant Force in Human and Robot Cooperation. International Journal of Social Robotics. 5(1). 103–116. 4 indexed citations
16.
Shi, Chaoyang, Seiichi Ikeda, Toshio Fukuda, et al.. (2012). Technical skills measurement based on a cyber‐physical system for endovascular surgery simulation. International Journal of Medical Robotics and Computer Assisted Surgery. 9(3). e25–33. 34 indexed citations
17.
Horan, Ben, et al.. (2011). A multi-point haptic platform for grasping and manipulating virtual objects. Deakin Research Online (Deakin University). 1–1.
18.
Abdi, Hamid, Saeid Nahavandi, & Zoran Najdovski. (2010). Fault tolerance operation of cooperative manipulators. Deakin Research Online (Deakin University). 144–151. 2 indexed citations
19.
Horan, Ben, Zoran Najdovski, Saeid Nahavandi, & Edward Tunstel. (2008). Haptic control methodologies for telerobotic stair traversal. Deakin Research Online (Deakin University). 13(1). 3–14. 13 indexed citations
20.
Horan, Ben, Zoran Najdovski, & Saeid Nahavandi. (2008). Exploiting ungrounded tactile haptic displays for mobile robotic teleoperation. Deakin Research Online (Deakin University). 1–6. 1 indexed citations

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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