Tiago Nascimento

1.4k total citations
76 papers, 1.0k citations indexed

About

Tiago Nascimento is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Tiago Nascimento has authored 76 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Vision and Pattern Recognition, 31 papers in Control and Systems Engineering and 30 papers in Computer Networks and Communications. Recurrent topics in Tiago Nascimento's work include Robotic Path Planning Algorithms (35 papers), Distributed Control Multi-Agent Systems (25 papers) and Robotics and Sensor-Based Localization (20 papers). Tiago Nascimento is often cited by papers focused on Robotic Path Planning Algorithms (35 papers), Distributed Control Multi-Agent Systems (25 papers) and Robotics and Sensor-Based Localization (20 papers). Tiago Nascimento collaborates with scholars based in Brazil, Czechia and Portugal. Tiago Nascimento's co-authors include Martin Saska, Luiz Marcos Garcia Gonçalves, Carlos E.T. Dórea, António Paulo Moreira, André G. S. Conceição, Alisson V. Brito, J. G. G. S. Ramos, Abel Cavalcante Lima Filho, L. Costa and Èric Pairet and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Access and Sensors.

In The Last Decade

Tiago Nascimento

71 papers receiving 973 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tiago Nascimento Brazil 17 518 429 312 274 102 76 1.0k
Mohamed A. Kamel Egypt 16 378 0.7× 337 0.8× 324 1.0× 373 1.4× 98 1.0× 50 885
Patricio J. Cruz Ecuador 14 724 1.4× 443 1.0× 420 1.3× 335 1.2× 105 1.0× 42 1.1k
Reza Ghabcheloo Finland 18 567 1.1× 505 1.2× 469 1.5× 583 2.1× 145 1.4× 74 1.3k
Shuhuan Wen China 18 456 0.9× 515 1.2× 393 1.3× 207 0.8× 102 1.0× 100 1.2k
Ivana Palunko Croatia 11 821 1.6× 388 0.9× 402 1.3× 299 1.1× 120 1.2× 34 1.3k
Jie Pan China 12 491 0.9× 561 1.3× 515 1.7× 205 0.7× 56 0.5× 35 1.2k
Sergei Lupashin Switzerland 15 586 1.1× 578 1.3× 636 2.0× 221 0.8× 148 1.5× 19 1.2k
Andrej Babinec Slovakia 13 320 0.6× 672 1.6× 443 1.4× 113 0.4× 108 1.1× 38 981
Zhenzhong Chu China 16 730 1.4× 287 0.7× 173 0.6× 175 0.6× 102 1.0× 61 1.2k
Bing Sun China 20 536 1.0× 710 1.7× 366 1.2× 247 0.9× 69 0.7× 85 1.4k

Countries citing papers authored by Tiago Nascimento

Since Specialization
Citations

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

Fields of papers citing papers by Tiago Nascimento

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiago Nascimento

This figure shows the co-authorship network connecting the top 25 collaborators of Tiago Nascimento. A scholar is included among the top collaborators of Tiago Nascimento 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 Tiago Nascimento. Tiago Nascimento 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.
Nascimento, Tiago, et al.. (2025). CurviTrack: Curvilinear Trajectory Tracking for High-Speed Chase of a USV. IEEE Robotics and Automation Letters. 10(4). 3932–3939. 2 indexed citations
2.
Nascimento, Tiago, et al.. (2024). A Minimalistic 3D Self-Organized UAV Flocking Approach for Desert Exploration. Journal of Intelligent & Robotic Systems. 110(2). 2 indexed citations
3.
Santos, Davi Henrique dos, Martin Saska, & Tiago Nascimento. (2024). A Generalized Thrust Estimation and Control Approach for Multirotors Micro Aerial Vehicles. IEEE Robotics and Automation Letters. 9(10). 8889–8896.
4.
Brandão, Alexandre S., et al.. (2023). Heterogeneous Multi-Robot Systems Approach for Warehouse Inventory Management. 389–394. 5 indexed citations
6.
Brandão, Alexandre S., et al.. (2022). Side-Pull Maneuver: A Novel Control Strategy for Dragging a Cable-Tethered Load of Unknown Weight Using a UAV. IEEE Robotics and Automation Letters. 7(4). 9159–9166. 20 indexed citations
7.
Krátký, Vít, et al.. (2021). Safe Documentation of Historical Monuments by an Autonomous Unmanned Aerial Vehicle. ISPRS International Journal of Geo-Information. 10(11). 738–738. 11 indexed citations
8.
Nascimento, Tiago, et al.. (2021). Aerodynamic Effects Compensation on Multi-Rotor UAVs Based on a Neural Network Control Allocation Approach. IEEE/CAA Journal of Automatica Sinica. 9(2). 295–312. 33 indexed citations
9.
Nascimento, Tiago, et al.. (2021). Multi-Robot Sensor Fusion Target Tracking With Observation Constraints. IEEE Access. 9. 52557–52568. 6 indexed citations
10.
Saska, Martin, et al.. (2020). Formation control of unmanned micro aerial vehicles for straitened environments. Autonomous Robots. 44(6). 991–1008. 20 indexed citations
11.
Costa, L., et al.. (2019). TurtleUI: A Generic Graphical User Interface for Robot Control. 174–179. 4 indexed citations
12.
Costa, L., Tiago Nascimento, & Luiz Marcos Garcia Gonçalves. (2019). Online Learning and Teaching of Emergent Behaviors in Multi-Robot Teams. IEEE Access. 7. 158989–159001. 5 indexed citations
13.
Ramos, J. G. G. S., et al.. (2018). A Novel Approach for Brushless DC Motors Characterization in Drones Based on Chaos. Drones. 2(2). 14–14. 16 indexed citations
14.
Filho, Abel Cavalcante Lima, et al.. (2018). A Novel Approach for Speed and Failure Detection in Brushless DC Motors Based on Chaos. IEEE Transactions on Industrial Electronics. 66(11). 8751–8759. 32 indexed citations
15.
Nascimento, Tiago, et al.. (2017). A system embedded in small unmanned aerial vehicle for vigor analysis of vegetation.. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research). 310–321. 1 indexed citations
16.
Nascimento, Tiago, et al.. (2017). Experimental evaluation of ROS compatible SLAM algorithms for RGB-D sensors. 1–6. 15 indexed citations
17.
Brito, Alisson V., et al.. (2016). Testing real-time embedded systems using high level architecture. Design Automation for Embedded Systems. 20(4). 289–309. 4 indexed citations
18.
Lima, Pedro U., Aamir Ahmad, André Dias, et al.. (2014). Formation control driven by cooperative object tracking. Robotics and Autonomous Systems. 63. 68–79. 25 indexed citations
19.
Ahmad, Aamir, Tiago Nascimento, André G. S. Conceição, António Paulo Moreira, & Pedro U. Lima. (2013). Perception-driven multi-robot formation control. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 7416. 1851–1856. 18 indexed citations
20.
Nascimento, Tiago, Pedro Costa, Paulo Costa, António Paulo Moreira, & André G. S. Conceição. (2012). A set of novel modifications to improve algorithms from the A* family applied in mobile robotics. Journal of the Brazilian Computer Society. 19(2). 167–179. 8 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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