Fernando Vanegas

988 total citations
40 papers, 647 citations indexed

About

Fernando Vanegas is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Fernando Vanegas has authored 40 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Aerospace Engineering, 33 papers in Computer Vision and Pattern Recognition and 6 papers in Artificial Intelligence. Recurrent topics in Fernando Vanegas's work include Robotic Path Planning Algorithms (32 papers), Robotics and Sensor-Based Localization (32 papers) and UAV Applications and Optimization (12 papers). Fernando Vanegas is often cited by papers focused on Robotic Path Planning Algorithms (32 papers), Robotics and Sensor-Based Localization (32 papers) and UAV Applications and Optimization (12 papers). Fernando Vanegas collaborates with scholars based in Australia, Malaysia and United Kingdom. Fernando Vanegas's co-authors include Felipé Gonzalez, John Weiss, K.S. Powell, Juan Sandino, Frédéric Maire, Kevin J. Gaston, Jonathan Roberts, David Flannery, Peter Caccetta and Duncan Campbell and has published in prestigious journals such as Sensors, Remote Sensing and Drones.

In The Last Decade

Fernando Vanegas

38 papers receiving 619 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fernando Vanegas Australia	14	393	331	113	102	89	40	647
Alberto Pretto Italy	13	380 1.0×	320 1.0×	286 2.5×	113 1.1×	37 0.4×	35	856
Stefan Hrabar Australia	14	559 1.4×	527 1.6×	180 1.6×	143 1.4×	66 0.7×	23	887
Esther Salamí Spain	11	279 0.7×	204 0.6×	69 0.6×	168 1.6×	161 1.8×	38	740
Hoam Chung Australia	15	368 0.9×	284 0.9×	114 1.0×	128 1.3×	220 2.5×	72	981
Emili Hernández Spain	17	295 0.8×	229 0.7×	96 0.8×	45 0.4×	39 0.4×	34	673
Vitor Guizilini Australia	17	269 0.7×	451 1.4×	55 0.5×	40 0.4×	32 0.4×	54	694
Marija Popović Germany	13	298 0.8×	351 1.1×	420 3.7×	245 2.4×	83 0.9×	39	951
Subodh Bhandari United States	12	214 0.5×	151 0.5×	64 0.6×	44 0.4×	40 0.4×	67	444
Athanasios Ch. Kapoutsis Greece	12	185 0.5×	252 0.8×	79 0.7×	30 0.3×	105 1.2×	27	447

Countries citing papers authored by Fernando Vanegas

Since Specialization

Citations

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

Fields of papers citing papers by Fernando Vanegas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Vanegas

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Vanegas. A scholar is included among the top collaborators of Fernando Vanegas 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 Fernando Vanegas. Fernando Vanegas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

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

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

Vanegas, Fernando, et al.. (2024). Framework for Autonomous UAV Navigation and Target Detection in Global-Navigation-Satellite-System-Denied and Visually Degraded Environments. Remote Sensing. 16(3). 471–471. 12 indexed citations

Vanegas, Fernando, et al.. (2024). A Comprehensive Framework for UAV-Based Autonomous Target Finding in Environments with Limited Global Navigation Satellite Systems and Reduced Visibility. 160–167. 2 indexed citations

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

Vanegas, Fernando, et al.. (2023). QuickNav: An Effective Collision Avoidance and Path-Planning Algorithm for UAS. Drones. 7(11). 678–678. 7 indexed citations

Vanegas, Fernando, et al.. (2023). Autonomous UAV Navigation for Target Detection in Visually Degraded and GPS Denied Environments. 1–10. 6 indexed citations

Gray, Alexander, et al.. (2023). Design and Flight Testing of a UAV with a Robotic Arm. 1–13. 4 indexed citations

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

10.

Vanegas, Fernando, et al.. (2022). NanoMap: A GPU-Accelerated OpenVDB-Based Mapping and Simulation Package for Robotic Agents. Remote Sensing. 14(21). 5463–5463. 5 indexed citations

11.

Vanegas, Fernando, et al.. (2022). Decentralised Multi-UAV Cooperative Searching Multi-Target in Cluttered and GPS-Denied Environments. 2022 IEEE Aerospace Conference (AERO). 1–10. 5 indexed citations

12.

Vanegas, Fernando, et al.. (2020). Simulating GPS-denied Autonomous UAV Navigation for Detection of Surface Water Bodies. 2018. 1792–1800. 6 indexed citations

13.

Vanegas, Fernando, et al.. (2020). Multi-UAV Target-Finding in Simulated Indoor Environments using Deep Reinforcement Learning. 1–9. 6 indexed citations

14.

Sandino, Juan, Fernando Vanegas, Felipé Gonzalez, & Frédéric Maire. (2020). Autonomous UAV Navigation for Active Perception of Targets in Uncertain and Cluttered Environments. 1–12. 21 indexed citations

15.

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

16.

Vanegas, Fernando, et al.. (2019). A Deep Reinforcement Learning Framework for UAV Navigation in Indoor Environments. 1–14. 33 indexed citations

17.

Vanegas, Fernando, et al.. (2018). Phylloxera: Improving pest surveillance in vineyards through drones, hyperspectral and spatial data. 33(4). 42.

18.

Vanegas, Fernando, et al.. (2018). Multi and hyperspectral UAV remote sensing: Grapevine phylloxera detection in vineyards. 1–9. 11 indexed citations

19.

Vanegas, Fernando & Felipé Gonzalez. (2016). Enabling UAV Navigation with Sensor and Environmental Uncertainty in Cluttered and GPS-Denied Environments. Sensors. 16(5). 666–666. 43 indexed citations

20.

Vanegas, Fernando & Felipé Gonzalez. (2016). Uncertainty based online planning for UAV target finding in cluttered and GPS-denied environments. QUT ePrints (Queensland University of Technology). 1–9. 19 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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