Felipé Gonzalez

5.7k total citations · 1 hit paper
202 papers, 3.9k citations indexed

About

Felipé Gonzalez is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Felipé Gonzalez has authored 202 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Aerospace Engineering, 64 papers in Computer Vision and Pattern Recognition and 30 papers in Artificial Intelligence. Recurrent topics in Felipé Gonzalez's work include Robotic Path Planning Algorithms (58 papers), Robotics and Sensor-Based Localization (53 papers) and UAV Applications and Optimization (30 papers). Felipé Gonzalez is often cited by papers focused on Robotic Path Planning Algorithms (58 papers), Robotics and Sensor-Based Localization (53 papers) and UAV Applications and Optimization (30 papers). Felipé Gonzalez collaborates with scholars based in Australia, Spain and Sri Lanka. Felipé Gonzalez's co-authors include Fernando Vanegas, Tommaso Francesco Villa, Lídia Morawska, Juan Sandino, Kevin J. Gaston, Kye Morton, K.S. Powell, Kerrie Mengersen, Zoran Ristovski and A. Narmilan and has published in prestigious journals such as PLoS ONE, Scientific Reports and Environmental Pollution.

In The Last Decade

Felipé Gonzalez

195 papers receiving 3.7k citations

Hit Papers

Unmanned Aerial Vehicles (UAVs) and Artificial Intelligen... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Felipé Gonzalez Australia 32 1.4k 925 781 642 521 202 3.9k
Ryosuke Shibasaki Japan 46 870 0.6× 1.6k 1.8× 1.1k 1.4× 649 1.0× 459 0.9× 463 7.2k
Haifeng Li China 38 371 0.3× 1.4k 1.6× 627 0.8× 720 1.1× 266 0.5× 217 7.6k
Francesco Nex Netherlands 35 2.2k 1.6× 1.5k 1.6× 3.2k 4.1× 566 0.9× 134 0.3× 132 6.6k
Stefan Hinz Germany 33 1.3k 1.0× 1.4k 1.5× 2.2k 2.8× 833 1.3× 163 0.3× 233 5.5k
Gonzalo Pájares Spain 36 700 0.5× 1.8k 2.0× 788 1.0× 1.2k 1.8× 2.1k 3.9× 134 6.0k
J. Senthilnath Singapore 28 302 0.2× 423 0.5× 729 0.9× 1.1k 1.7× 557 1.1× 111 3.5k
M. Gerke Germany 34 1.4k 1.0× 1.3k 1.5× 2.4k 3.0× 489 0.8× 75 0.1× 169 5.1k
Xiaohui Yuan United States 36 264 0.2× 1.9k 2.0× 406 0.5× 332 0.5× 323 0.6× 225 5.5k
Jinya Su United Kingdom 33 338 0.2× 243 0.3× 289 0.4× 603 0.9× 832 1.6× 91 3.1k
Adriano Mancini Italy 27 569 0.4× 721 0.8× 324 0.4× 271 0.4× 153 0.3× 187 2.7k

Countries citing papers authored by Felipé Gonzalez

Since Specialization
Citations

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

Fields of papers citing papers by Felipé Gonzalez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felipé Gonzalez

This figure shows the co-authorship network connecting the top 25 collaborators of Felipé Gonzalez. A scholar is included among the top collaborators of Felipé Gonzalez 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 Felipé Gonzalez. Felipé Gonzalez 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
2.
Narmilan, A., J. Kelly, Remy Dehaan, et al.. (2024). African Lovegrass Segmentation with Artificial Intelligence Using UAS-Based Multispectral and Hyperspectral Imagery. Remote Sensing. 16(13). 2363–2363. 2 indexed citations
3.
Vanegas, Fernando, et al.. (2024). A Review of UAV Path-Planning Algorithms and Obstacle Avoidance Methods for Remote Sensing Applications. Remote Sensing. 16(21). 4019–4019. 35 indexed citations
4.
Gonzalez, Felipé, et al.. (2024). A Low-Cost IoT Architecture Based on LPWAN and MQTT for Monitoring Water Resources in Andean Wetlands. SN Computer Science. 5(1). 6 indexed citations
5.
Vanegas, Fernando, et al.. (2024). Tendon-Driven Continuum Robots for Aerial Manipulation—A Survey of Fabrication Methods. Drones. 8(6). 269–269. 3 indexed citations
6.
Narmilan, A., Mark Hamilton, J. Kelly, et al.. (2023). Autonomous Detection of Mouse-Ear Hawkweed Using Drones, Multispectral Imagery and Supervised Machine Learning. Remote Sensing. 15(6). 1633–1633. 13 indexed citations
7.
Vanegas, Fernando, et al.. (2023). Multi-UAV Mapping and Target Finding in Large, Complex, Partially Observable Environments. Remote Sensing. 15(15). 3802–3802. 1 indexed citations
8.
Vanegas, Fernando, et al.. (2022). UAV4PE: An Open-Source Framework to Plan UAV Autonomous Missions for Planetary Exploration. Drones. 6(12). 391–391. 7 indexed citations
9.
Vanegas, Fernando, Kevin J. Gaston, Jonathan Roberts, & Felipé Gonzalez. (2019). A Framework for UAV Navigation and Exploration in GPS-Denied Environments. QUT ePrints (Queensland University of Technology). 1–6. 32 indexed citations
10.
Gonzalez, Felipé, et al.. (2017). Assessment of invasive grasses using unmanned aerial vehicles: A machine learning approach. Journal of Biotechnology & Biomaterials. 1 indexed citations
11.
Puig, Eduard, Felipé Gonzalez, Grant Hamilton, & Paul Grundy. (2015). Assessment of crop insect damage using unmanned aerial systems: A machine learning approach. QUT ePrints (Queensland University of Technology). 17 indexed citations
12.
Gonzalez, Felipé, et al.. (2015). Non-linear model predictive control for UAVs with slung/swung load. QUT ePrints (Queensland University of Technology). 9 indexed citations
13.
Kelson, Neil A., et al.. (2014). Hardware Design and Implementation of a MAVLink Interface for an FPGA-Based Autonomous UAV Flight Control System. QUT ePrints (Queensland University of Technology). 9 indexed citations
14.
Alsabban, Wesam H., Felipé Gonzalez, Ryan N. Smith, & Gordon Wyeth. (2012). Wind-energy based path planning for electric unmanned aerial vehicles using Markov Decision Processes. QUT ePrints (Queensland University of Technology). 12 indexed citations
15.
Aravinthan, Thiru, et al.. (2010). Investigation of frequency characteristics of GFRP/phenolic sandwich beams. University of Southern Queensland ePrints (University of Southern Queensland). 3 indexed citations
16.
Gonzalez, Felipé, et al.. (2010). A synthesizable hardware evolutionary algorithm design for unmanned aerial system real-time path planning. IEEE International Conference on High Performance Computing, Data, and Analytics. 1 indexed citations
17.
Gonzalez, Felipé, et al.. (2009). CFD Analysis of the Diffuser of a Formula 3 Racecar. Undergraduate Research Journal. 1(1).
18.
Gonzalez, Felipé, et al.. (2009). Design optimisation using advanced artificial intelligent system coupled to hybrid-game strategies. QUT ePrints (Queensland University of Technology). 32(1-2). 39–41. 2 indexed citations
19.
Gonzalez, Felipé, et al.. (2007). Design, Modelling and Measurement of Hybrid Powerplant for Unmanned Aerial Systems (UAS). QUT ePrints (Queensland University of Technology). 1. 730–735. 2 indexed citations
20.
Gonzalez, Felipé, et al.. (2006). Single and multi-objective UAV aerofoil optimisation via hierarchical asynchronous parallel evolutionary algorithm. QUT ePrints (Queensland University of Technology). 7 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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