Daniel Ortíz-Arroyo

1.8k total citations
42 papers, 231 citations indexed

About

Daniel Ortíz-Arroyo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Daniel Ortíz-Arroyo has authored 42 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Aerospace Engineering. Recurrent topics in Daniel Ortíz-Arroyo's work include Robotics and Sensor-Based Localization (6 papers), Wastewater Treatment and Nitrogen Removal (4 papers) and Advanced Control Systems Optimization (4 papers). Daniel Ortíz-Arroyo is often cited by papers focused on Robotics and Sensor-Based Localization (6 papers), Wastewater Treatment and Nitrogen Removal (4 papers) and Advanced Control Systems Optimization (4 papers). Daniel Ortíz-Arroyo collaborates with scholars based in Denmark, Mexico and Italy. Daniel Ortíz-Arroyo's co-authors include Petar Durdevic, Francisco Rodríguez‐Henríquez, Mette Skov, Zhenyu Yang, Shaobao Li, Mikkel Stokholm-Bjerregaard, Halina Kwaśnicka, Carlos A. Coello Coello, Aviaja Anna Hansen and Peter Alexander Stentoft and has published in prestigious journals such as Expert Systems with Applications, Sensors and Energies.

In The Last Decade

Daniel Ortíz-Arroyo

35 papers receiving 203 citations

Peers

Daniel Ortíz-Arroyo
Ji-Hyeong Han South Korea
Armin Masoumian Spain
Guangyi Tang China
M. A. El-Dosuky Egypt
Kurosh Madani France
Weimin Qi China
Jane Macfarlane United States
Yuchen Yang China
Ji-Hyeong Han South Korea
Daniel Ortíz-Arroyo
Citations per year, relative to Daniel Ortíz-Arroyo Daniel Ortíz-Arroyo (= 1×) peers Ji-Hyeong Han

Countries citing papers authored by Daniel Ortíz-Arroyo

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ortíz-Arroyo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Ortíz-Arroyo. 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 Daniel Ortíz-Arroyo. The network helps show where Daniel Ortíz-Arroyo may publish in the future.

Co-authorship network of co-authors of Daniel Ortíz-Arroyo

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Ortíz-Arroyo. A scholar is included among the top collaborators of Daniel Ortíz-Arroyo 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 Daniel Ortíz-Arroyo. Daniel Ortíz-Arroyo 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.. (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
8.
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
9.
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
10.
Ortíz-Arroyo, Daniel, et al.. (2018). A Weighted Fuzzy Time Series Forecasting Model. Indian Journal of Science and Technology. 11(27). 1–11. 1 indexed citations
11.
Ortíz-Arroyo, Daniel, et al.. (2016). New similarity functions. VBN Forskningsportal (Aalborg Universitet). 1–6. 8 indexed citations
12.
Ortíz-Arroyo, Daniel. (2015). A hybrid 3D path planning method for UAVs. VBN Forskningsportal (Aalborg Universitet). 123–132. 11 indexed citations
13.
Cruz-Cortés, Nareli, et al.. (2014). Low-cost addition–subtraction sequences for the final exponentiation in pairings. Finite Fields and Their Applications. 29. 1–17. 1 indexed citations
14.
Ortíz-Arroyo, Daniel, et al.. (2009). An Optimized Soft Computing Based Passage Retrieval System. Control and Cybernetics. 38(2). 455–479. 1 indexed citations
15.
Hussain, Mohammed Ali, et al.. (2008). A Case Study:Kalman and Alpha-Beta Computation Under High Correlation. VBN Forskningsportal (Aalborg Universitet). 1 indexed citations
16.
Ortíz-Arroyo, Daniel, Francisco Rodríguez‐Henríquez, & Carlos A. Coello Coello. (2008). Computadoras Mexicanas: Una breve reseña técnica e histórica. VBN Forskningsportal (Aalborg Universitet). 9(9). 3 indexed citations
17.
Larsen, Henrik Legind, Gabriella Pasi, Daniel Ortíz-Arroyo, Troels Andreasen, & Henning Christiansen. (2006). Flexible query answering systems: 7th international conference. 1 indexed citations
18.
Larsen, Henrik Legind, Gabriella Pasi, Daniel Ortíz-Arroyo, Troels Andreasen, & Henning Christiansen. (2006). Flexible Query Answering Systems: 7th International Conference, FQAS 2006,Milan, Italy, June 7-10, 2006 (Lecture Notes in Computer Science). 1 indexed citations
19.
Memon, Nasrullah, Daniel Ortíz-Arroyo, & Henrik Legind Larsen. (2004). Investigative Data Mining: A General Framework.. 384–387. 1 indexed citations
20.
Larsen, Henrik Legind, Gabriella Pasi, Daniel Ortíz-Arroyo, Troels Andreasen, & Henning Christiansen. (1998). Proceedings of the Third International Conference on Flexible Query Answering Systems. 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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