Andriy Sarabakha

534 total citations
23 papers, 381 citations indexed

About

Andriy Sarabakha is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Andriy Sarabakha has authored 23 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Control and Systems Engineering, 11 papers in Computer Vision and Pattern Recognition and 9 papers in Artificial Intelligence. Recurrent topics in Andriy Sarabakha's work include Adaptive Control of Nonlinear Systems (9 papers), Robotic Path Planning Algorithms (9 papers) and Fuzzy Logic and Control Systems (5 papers). Andriy Sarabakha is often cited by papers focused on Adaptive Control of Nonlinear Systems (9 papers), Robotic Path Planning Algorithms (9 papers) and Fuzzy Logic and Control Systems (5 papers). Andriy Sarabakha collaborates with scholars based in Singapore, Denmark and Germany. Andriy Sarabakha's co-authors include Erdal Kayacan, Changhong Fu, Tufan Kumbasar, Robert John, Mojtaba Ahmadieh Khanesar, Jonathan M. Garibaldi, Christian Wagner, Hani Hagras, Simon Coupland and Siddharth Patel and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, International Journal of Hydrogen Energy and Information Sciences.

In The Last Decade

Andriy Sarabakha

20 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andriy Sarabakha Singapore	10	190	148	86	74	63	23	381
Yi-Hsing Chien Taiwan	10	239 1.3×	123 0.8×	94 1.1×	47 0.6×	16 0.3×	27	377
Ashkan Jasour United States	10	116 0.6×	84 0.6×	129 1.5×	55 0.7×	19 0.3×	30	321
Chung‐Chun Kung Taiwan	10	305 1.6×	177 1.2×	38 0.4×	20 0.3×	69 1.1×	55	454
Zachary N. Sunberg United States	10	88 0.5×	185 1.3×	109 1.3×	84 1.1×	22 0.3×	27	361
Tadanari Taniguchi Japan	8	261 1.4×	111 0.8×	24 0.3×	19 0.3×	47 0.7×	30	394
Nohé R. Cázarez-Castro Mexico	11	220 1.2×	281 1.9×	54 0.6×	12 0.2×	58 0.9×	33	468
F.J. Moreno-Velo Spain	8	193 1.0×	165 1.1×	143 1.7×	17 0.2×	55 0.9×	15	391
Yi‐Jen Mon Taiwan	10	276 1.5×	82 0.6×	61 0.7×	57 0.8×	52 0.8×	37	402
Noel E. Du Toit United States	6	142 0.7×	92 0.6×	241 2.8×	107 1.4×	16 0.3×	8	378
Bin Guo China	13	391 2.1×	70 0.5×	43 0.5×	44 0.6×	42 0.7×	44	514

Countries citing papers authored by Andriy Sarabakha

Since Specialization

Citations

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

Fields of papers citing papers by Andriy Sarabakha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andriy Sarabakha

This figure shows the co-authorship network connecting the top 25 collaborators of Andriy Sarabakha. A scholar is included among the top collaborators of Andriy Sarabakha 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 Andriy Sarabakha. Andriy Sarabakha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Amer, A., et al.. (2025). Modelling of Underwater Vehicles using Physics-Informed Neural Networks with Control. 1–8.

Pham, Huy Xuan, et al.. (2024). Continual Learning for Robust Gate Detection under Dynamic Lighting in Autonomous Drone Racing. 1–8.

Sarabakha, Andriy, et al.. (2024). Estimation of External Force acting on Underwater Robots. 3125–3131. 2 indexed citations

Sarabakha, Andriy, et al.. (2024). Digital Robot Judge: Building a Task-Centric Performance Database of Real-World Manipulation With Electronic Task Boards. IEEE Robotics & Automation Magazine. 31(4). 32–44. 3 indexed citations

Sarabakha, Andriy & Ponnuthurai Nagaratnam Suganthan. (2023). anafi_ros: from Off-the-Shelf Drones to Research Platforms. 2 indexed citations

Pham, Huy Xuan, et al.. (2022). PencilNet: Zero-Shot Sim-to-Real Transfer Learning for Robust Gate Perception in Autonomous Drone Racing. IEEE Robotics and Automation Letters. 7(4). 11847–11854. 10 indexed citations

Sarabakha, Andriy, et al.. (2022). Development of a Collaborative Wheeled Mobile Robot: Design Considerations, Drive Unit Torque Control, and Preliminary Result. 2022 International Conference on Robotics and Automation (ICRA). 1. 5769–5775.

So, Peter T. C., et al.. (2022). A-RIFT: Visual Substitution of Force Feedback for a Zero-Cost Interface in Telemanipulation. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 3926–3933. 2 indexed citations

Pham, Huy Xuan, et al.. (2021). GateNet: An Efficient Deep Neural Network Architecture for Gate Perception Using Fish-Eye Camera in Autonomous Drone Racing. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 4176–4183. 6 indexed citations

10.

Patel, Siddharth, et al.. (2019). An Intelligent Hybrid Artificial Neural Network-Based Approach for Control of Aerial Robots. Journal of Intelligent & Robotic Systems. 97(2). 387–398. 21 indexed citations

11.

Sarabakha, Andriy, Changhong Fu, & Erdal Kayacan. (2019). Intuit before tuning: Type-1 and type-2 fuzzy logic controllers. Applied Soft Computing. 81. 105495–105495. 28 indexed citations

12.

Patel, Siddharth, et al.. (2019). Artificial Neural Network-Assisted Controller for Fast and Agile UAV Flight: Onboard Implementation and Experimental Results. 37–43. 1 indexed citations

13.

Sarabakha, Andriy & Erdal Kayacan. (2019). Online Deep Fuzzy Learning for Control of Nonlinear Systems Using Expert Knowledge. IEEE Transactions on Fuzzy Systems. 1–1. 32 indexed citations

14.

Fu, Changhong, Andriy Sarabakha, Erdal Kayacan, et al.. (2018). Input Uncertainty Sensitivity Enhanced Nonsingleton Fuzzy Logic Controllers for Long-Term Navigation of Quadrotor UAVs. IEEE/ASME Transactions on Mechatronics. 23(2). 725–734. 53 indexed citations

15.

Sarabakha, Andriy, et al.. (2017). Novel Levenberg–Marquardt based learning algorithm for unmanned aerial vehicles. Information Sciences. 417. 361–380. 47 indexed citations

16.

Sarabakha, Andriy, Changhong Fu, & Erdal Kayacan. (2017). Double-input interval type-2 fuzzy logic controllers: Analysis and design. 1–6. 5 indexed citations

17.

Fu, Changhong, Andriy Sarabakha, Erdal Kayacan, et al.. (2017). Similarity-based non-singleton fuzzy logic control for improved performance in UAVs. Digital Commons - Michigan Tech (Michigan Technological University). 1–6. 6 indexed citations

18.

Sarabakha, Andriy, Changhong Fu, Erdal Kayacan, & Tufan Kumbasar. (2017). Type-2 Fuzzy Logic Controllers Made Even Simpler: From Design to Deployment for UAVs. IEEE Transactions on Industrial Electronics. 65(6). 5069–5077. 91 indexed citations

19.

Fu, Changhong, Andriy Sarabakha, Erdal Kayacan, et al.. (2016). A comparative study on the control of quadcopter UAVs by using singleton and non-singleton fuzzy logic controllers. 2. 1023–1030. 10 indexed citations

20.

Sarabakha, Andriy & Erdal Kayacan. (2016). Y6 tricopter autonomous evacuation in an Indoor Environment using Q-learning algorithm. 5992–5997. 15 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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