Petar Durdevic

1.1k total citations
55 papers, 791 citations indexed

About

Petar Durdevic is a scholar working on Ocean Engineering, Mechanical Engineering and Control and Systems Engineering. According to data from OpenAlex, Petar Durdevic has authored 55 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Ocean Engineering, 14 papers in Mechanical Engineering and 11 papers in Control and Systems Engineering. Recurrent topics in Petar Durdevic's work include Reservoir Engineering and Simulation Methods (11 papers), Oil and Gas Production Techniques (10 papers) and Fluid Dynamics and Mixing (9 papers). Petar Durdevic is often cited by papers focused on Reservoir Engineering and Simulation Methods (11 papers), Oil and Gas Production Techniques (10 papers) and Fluid Dynamics and Mixing (9 papers). Petar Durdevic collaborates with scholars based in Denmark and Norway. Petar Durdevic's co-authors include Zhenyu Yang, Simon Pedersen, Daniel Ortíz-Arroyo, Laura Debel Hansen, Shaobao Li, Mikkel Stokholm-Bjerregaard, Mads Valentin Bram, Leif Hansen, C. Maï and Aviaja Anna Hansen and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and Expert Systems with Applications.

In The Last Decade

Petar Durdevic

53 papers receiving 769 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Petar Durdevic Denmark 15 257 202 172 152 138 55 791
Hamad Karki United States 14 307 1.2× 145 0.7× 261 1.5× 96 0.6× 318 2.3× 56 997
Yibo Li China 14 127 0.5× 105 0.5× 109 0.6× 167 1.1× 251 1.8× 63 639
Hyeung‐Sik Choi South Korea 17 554 2.2× 78 0.4× 458 2.7× 112 0.7× 171 1.2× 131 1.1k
Vahid Hassani Norway 17 366 1.4× 120 0.6× 692 4.0× 102 0.7× 155 1.1× 71 1.2k
Francesco Adamo Italy 19 101 0.4× 205 1.0× 86 0.5× 437 2.9× 69 0.5× 72 1.2k
Mohd Rizal Arshad Malaysia 15 587 2.3× 188 0.9× 301 1.8× 145 1.0× 119 0.9× 150 1.2k
Amit Shukla India 12 212 0.8× 137 0.7× 192 1.1× 83 0.5× 199 1.4× 28 776
Siwei Zhang Germany 19 280 1.1× 70 0.3× 117 0.7× 568 3.7× 172 1.2× 104 1.3k
Joseph Coleman Ireland 10 397 1.5× 100 0.5× 187 1.1× 59 0.4× 186 1.3× 28 691

Countries citing papers authored by Petar Durdevic

Since Specialization
Citations

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

Fields of papers citing papers by Petar Durdevic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petar Durdevic

This figure shows the co-authorship network connecting the top 25 collaborators of Petar Durdevic. A scholar is included among the top collaborators of Petar Durdevic 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 Petar Durdevic. Petar Durdevic 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.
Hansen, Laura Debel, Peter Alexander Stentoft, Mikkel Stokholm-Bjerregaard, Daniel Ortíz-Arroyo, & Petar Durdevic. (2025). Model predictive control for nitrous oxide mitigation in a full-scale wastewater treatment plant: A data-driven simulation study. Journal of Water Process Engineering. 76. 108128–108128.
2.
Ortíz-Arroyo, Daniel, et al.. (2025). Application of Soft Actor-Critic algorithms in optimizing wastewater treatment with time delays integration. Expert Systems with Applications. 277. 127180–127180. 3 indexed citations
3.
Hansen, Laura Debel, Peter Alexander Stentoft, Daniel Ortíz-Arroyo, & Petar Durdevic. (2024). Exploring data quality and seasonal variations of N2O in wastewater treatment: a modeling perspective. Water Practice & Technology. 19(3). 1016–1031. 5 indexed citations
4.
Ortíz-Arroyo, Daniel, et al.. (2024). Multi-Step Simulation Improvement for Time Series Using Exogenous State Variables. VBN Forskningsportal (Aalborg Universitet). 651–659. 1 indexed citations
5.
Hansen, Laura Debel, Peter Alexander Stentoft, Daniel Ortíz-Arroyo, & Petar Durdevic. (2024). Black-box modelling of non-stationary N2O dynamics in a full-scale wastewater treatment plant. IFAC-PapersOnLine. 58(28). 714–719. 2 indexed citations
6.
Stokholm-Bjerregaard, Mikkel, et al.. (2024). Deep learning based simulators for the phosphorus removal process control in wastewater treatment via deep reinforcement learning algorithms. Engineering Applications of Artificial Intelligence. 133. 107992–107992. 11 indexed citations
7.
Ortíz-Arroyo, Daniel, et al.. (2024). Defect Detection in Synthetic Fibre Ropes using Detectron2 Framework. Applied Ocean Research. 150. 104109–104109. 4 indexed citations
8.
Ortíz-Arroyo, Daniel, et al.. (2023). Monocular Based Navigation System for Autonomous Ground Robots Using Multiple Deep Learning Models. International Journal of Computational Intelligence Systems. 16(1). 3 indexed citations
9.
Hansen, Laura Debel, Mikkel Stokholm-Bjerregaard, & Petar Durdevic. (2022). Modeling phosphorous dynamics in a wastewater treatment process using Bayesian optimized LSTM. Computers & Chemical Engineering. 160. 107738–107738. 41 indexed citations
10.
Durdevic, Petar, et al.. (2022). Using Drones with Thermal Imaging to Estimate Population Counts of European Hare (Lepus europaeus) in Denmark. Drones. 7(1). 5–5. 2 indexed citations
11.
Durdevic, Petar & Daniel Ortíz-Arroyo. (2020). A Deep Neural Network Sensor for Visual Servoing in 3D Spaces. Sensors. 20(5). 1437–1437. 12 indexed citations
12.
Durdevic, Petar, Daniel Ortíz-Arroyo, & Zhenyu Yang. (2019). LiDAR Assisted Camera Inspection of Wind Turbines: Experimental Study. VBN Forskningsportal (Aalborg Universitet). 1–7. 13 indexed citations
13.
Durdevic, Petar, et al.. (2018). Potential for Real-Time Monitoring and Control of Dissolved Oxygen in the Injection Water Treatment Process. IFAC-PapersOnLine. 51(8). 170–177. 5 indexed citations
14.
Bram, Mads Valentin, et al.. (2017). Efficiency evaluation of offshore deoiling applications utilizing real-time oil-in-water monitors. VBN Forskningsportal (Aalborg Universitet). 2 indexed citations
15.
Yang, Zhenyu, et al.. (2016). Proceedings of 2016 International Field Exploration and Development Conference (IFEDC). 3 indexed citations
16.
Pedersen, Simon, et al.. (2016). Experimental study of stable surfaces for anti-slug control in multi-phase flow. International Journal of Automation and Computing. 13(1). 81–88. 11 indexed citations
17.
Bram, Mads Valentin, et al.. (2015). Experimental modeling of a deoiling hydrocyclone system. VBN Forskningsportal (Aalborg Universitet). 1080–1085. 12 indexed citations
18.
Yang, Zhenyu, et al.. (2014). Proceedings of the 2014 IEEE International Conference on Mechatronics and Automation (ICMA). 113 indexed citations
19.
Pedersen, Simon, et al.. (2014). Experimental study of stable surfaces for anti-slug control in multi-phase flow. VBN Forskningsportal (Aalborg Universitet). 43–48. 7 indexed citations
20.
Yang, Zhenyu, Simon Pedersen, & Petar Durdevic. (2014). Cleaning the produced water in offshore oil production by using plant-wide optimal control strategy. VBN Forskningsportal (Aalborg Universitet). 1–10. 13 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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