Ignacio Carlucho

869 total citations
29 papers, 594 citations indexed

About

Ignacio Carlucho is a scholar working on Control and Systems Engineering, Ocean Engineering and Artificial Intelligence. According to data from OpenAlex, Ignacio Carlucho has authored 29 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Control and Systems Engineering, 10 papers in Ocean Engineering and 7 papers in Artificial Intelligence. Recurrent topics in Ignacio Carlucho's work include Underwater Vehicles and Communication Systems (10 papers), Adaptive Control of Nonlinear Systems (7 papers) and Advanced Control Systems Optimization (6 papers). Ignacio Carlucho is often cited by papers focused on Underwater Vehicles and Communication Systems (10 papers), Adaptive Control of Nonlinear Systems (7 papers) and Advanced Control Systems Optimization (6 papers). Ignacio Carlucho collaborates with scholars based in Argentina, United Kingdom and United States. Ignacio Carlucho's co-authors include Mariano De Paula, Gerardo G. Acosta, Yvan Pétillot, Sen Wang, Sebastián A. Villar, Corina Barbălată, W. B. Ard, E. Morgan, Sen Wang and Zebin Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Ignacio Carlucho

29 papers receiving 578 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ignacio Carlucho Argentina 10 288 184 149 121 92 29 594
Soufiene Bouallègue Tunisia 15 402 1.4× 112 0.6× 124 0.8× 118 1.0× 29 0.3× 66 744
Tarak Damak Tunisia 13 636 2.2× 68 0.4× 44 0.3× 103 0.9× 20 0.2× 47 789
Yu Lu China 12 550 1.9× 79 0.4× 395 2.7× 101 0.8× 66 0.7× 38 877
Diju Gao China 12 160 0.6× 63 0.3× 84 0.6× 32 0.3× 34 0.4× 39 491
İbrahim Beklan Küçükdemiral United Kingdom 15 397 1.4× 67 0.4× 50 0.3× 27 0.2× 30 0.3× 61 700
Sew Sun Tiang Malaysia 11 72 0.3× 157 0.9× 24 0.2× 41 0.3× 78 0.8× 47 430
Qudrat Khan Pakistan 18 735 2.6× 93 0.5× 39 0.3× 42 0.3× 57 0.6× 78 1.1k
Alireza Mohammad Shahri Iran 15 452 1.6× 112 0.6× 46 0.3× 281 2.3× 47 0.5× 51 717
Pengzhan Chen China 10 149 0.5× 96 0.5× 36 0.2× 122 1.0× 16 0.2× 29 410
Sundaram B. Pandya India 18 148 0.5× 142 0.8× 13 0.1× 46 0.4× 122 1.3× 59 695

Countries citing papers authored by Ignacio Carlucho

Since Specialization
Citations

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

Fields of papers citing papers by Ignacio Carlucho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ignacio Carlucho

This figure shows the co-authorship network connecting the top 25 collaborators of Ignacio Carlucho. A scholar is included among the top collaborators of Ignacio Carlucho 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 Ignacio Carlucho. Ignacio Carlucho 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.
Chu, Shuguang, Zebin Huang, Cruz Y. Li, et al.. (2025). MarineGym: A High-Performance Reinforcement Learning Platform for Underwater Robotics. 17146–17153. 1 indexed citations
2.
Cieśląk, Patryk, et al.. (2025). Stonefish: Supporting Machine Learning Research in Marine Robotics. 1–7. 2 indexed citations
3.
4.
Yu, Hao, Zebin Huang, Qingbo Liu, Ignacio Carlucho, & Mustafa Suphi Erden. (2024). Replication of Impedance Identification Experiments on a Reinforcement-Learning-Controlled Digital Twin of Human Elbows. 1–8. 1 indexed citations
5.
Palomeras, Narcís, et al.. (2024). FRAGG-Map: Frustum Accelerated GPU-Based Grid Map. 1138–1144. 1 indexed citations
6.
Koskinopoulou, Maria, et al.. (2024). Digital Twins Below the Surface: Enhancing Underwater Teleoperation. 1–8. 5 indexed citations
7.
Carlucho, Ignacio, et al.. (2024). Harnessing traditional controllers for fast-track training of deep reinforcement learning control strategies. Journal of Marine Engineering & Technology. 24(4). 241–252. 2 indexed citations
8.
Carlucho, Ignacio, et al.. (2023). Semi-Parametric Control Architecture for Autonomous Underwater Vehicles Subject to Time Delays. IEEE Access. 11. 71287–71300. 1 indexed citations
9.
Morgan, E., Ignacio Carlucho, W. B. Ard, & Corina Barbălată. (2022). Autonomous Underwater Manipulation: Current Trends in Dynamics, Control, Planning, Perception, and Future Directions. 3(4). 187–198. 9 indexed citations
10.
Carlucho, Ignacio, et al.. (2022). Robotic Manipulators Performing Smart Sanding Operation: A Vibration Approach. 2022 International Conference on Robotics and Automation (ICRA). 2958–2964. 3 indexed citations
11.
Carlucho, Ignacio, et al.. (2021). An adaptive data-driven controller for underwater manipulators with variable payload. Applied Ocean Research. 113. 102726–102726. 24 indexed citations
12.
Paula, Mariano De, et al.. (2020). Deep reinforcement learning approach for MPPT control of partially shaded PV systems in Smart Grids. Applied Soft Computing. 97. 106711–106711. 70 indexed citations
13.
Carlucho, Ignacio, Mariano De Paula, & Gerardo G. Acosta. (2020). An adaptive deep reinforcement learning approach for MIMO PID control of mobile robots. ISA Transactions. 102. 280–294. 101 indexed citations
14.
Carlucho, Ignacio, Mariano De Paula, & Gerardo G. Acosta. (2019). Double Q-PID algorithm for mobile robot control. Expert Systems with Applications. 137. 292–307. 49 indexed citations
15.
Paula, Mariano De, et al.. (2019). MPPT for PV systems using deep reinforcement learning algorithms. IEEE Latin America Transactions. 17(12). 2020–2027. 21 indexed citations
16.
Carlucho, Ignacio, Mariano De Paula, Sen Wang, Yvan Pétillot, & Gerardo G. Acosta. (2018). Adaptive low-level control of autonomous underwater vehicles using deep reinforcement learning. Robotics and Autonomous Systems. 107. 71–86. 139 indexed citations
17.
Carlucho, Ignacio, et al.. (2018). An obstacle avoidance system for mobile robotics based on the virtual force field method. 1–8. 6 indexed citations
18.
Carlucho, Ignacio, et al.. (2018). A Modular Battery Management System for Electric Vehicles. 1–6. 4 indexed citations
19.
Carlucho, Ignacio, et al.. (2016). Prediction of the hydrodynamic coefficients of an autonomous underwater vehicle. 1–6. 7 indexed citations
20.
Paula, Mariano De, Ignacio Carlucho, Alejandro Rozenfeld, & Gerardo G. Acosta. (2016). Modelado e identificación de vehículos móviles usando modelos de baja complejidad basados en datos. 1–6. 2 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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