Chad Goerzen

927 total citations · 1 hit paper
16 papers, 643 citations indexed

About

Chad Goerzen is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Chad Goerzen has authored 16 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Aerospace Engineering, 8 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in Chad Goerzen's work include Aerospace and Aviation Technology (10 papers), Guidance and Control Systems (7 papers) and Robotic Path Planning Algorithms (7 papers). Chad Goerzen is often cited by papers focused on Aerospace and Aviation Technology (10 papers), Guidance and Control Systems (7 papers) and Robotic Path Planning Algorithms (7 papers). Chad Goerzen collaborates with scholars based in United States. Chad Goerzen's co-authors include Bernard Mettler, Zhaodan Kong, J. C. Savage, Florian‐Michael Adolf and J. Sean Humbert and has published in prestigious journals such as Journal of Guidance Control and Dynamics, Journal of Field Robotics and Journal of Intelligent & Robotic Systems.

In The Last Decade

Chad Goerzen

15 papers receiving 609 citations

Hit Papers

A Survey of Motion Planning Algorithms from the Perspecti... 2009 2026 2014 2020 2009 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Survey of Motion Planning Algorithms from the Perspective of Autonomous UAV Guidance
    2009 548 citations Chad Goerzen, Zhaodan Kong et al. Journal of Intelligent & Robotic Systems profile →

Peers

Chad Goerzen
Luqi Wang China
Stefano Primatesta Italy
Mohammadreza Radmanesh United States
Guan‐chen Luo China
Alex Nash United States
Shupeng Lai Singapore
Mario Valenti United States
Immacolata Notaro Italy
Daniel Heřt Czechia
Luqi Wang China
Chad Goerzen
Citations per year, relative to Chad Goerzen Chad Goerzen (= 1×) peers Luqi Wang

Countries citing papers authored by Chad Goerzen

Since Specialization
Citations

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

Fields of papers citing papers by Chad Goerzen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chad Goerzen

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

All Works

16 of 16 papers shown
1.
Goerzen, Chad, et al.. (2022). Comparison of Autonomous Flight Control Performance Between Partial- and Full-Authority Helicopters. Journal of Guidance Control and Dynamics. 45(5). 885–901. 2 indexed citations
2.
Goerzen, Chad, et al.. (2021). Autonomous Guidance and Flight Control on a Partial-Authority Black Hawk Helicopter. Journal of Aerospace Information Systems. 18(10). 686–701. 2 indexed citations
3.
Goerzen, Chad, et al.. (2020). Autonomous Guidance and Flight Control on a Partial-Authority Black Hawk Helicopter. AIAA AVIATION 2020 FORUM. 3 indexed citations
4.
Goerzen, Chad, et al.. (2018). Full-Scale Flight-Test Results for a Rotorcraft Safe Landing Area Determination Algorithm for Autonomous and Piloted Landing Approaches. Journal of the American Helicopter Society. 3 indexed citations
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Humbert, J. Sean, et al.. (2016). Application of a Nonlinear Recursive Visual-Depth Observer Using UH60 Flight Data. Journal of Guidance Control and Dynamics. 39(7). 1501–1512. 1 indexed citations
8.
Goerzen, Chad, et al.. (2014). Development and Flight Testing of a Flight Control Law for Autonomous Operations Research on the RASCAL JUH-60A. Journal of the American Helicopter Society. 59(3). 1–13. 7 indexed citations
9.
Mettler, Bernard, et al.. (2014). Guidance Performance Benchmarking for Autonomous Rotorcraft. Journal of the American Helicopter Society. 59(4). 1–16. 1 indexed citations
10.
Savage, J. C., et al.. (2014). Autonomous Black Hawk in Flight: Obstacle Field Navigation and Landing‐site Selection on the RASCAL JUH‐60A. Journal of Field Robotics. 31(4). 591–616. 15 indexed citations
11.
Goerzen, Chad, et al.. (2013). Flight Test Results for Autonomous Obstacle Field Navigation and Landing Site Selection on the RASCAL JUH-60A. 4 indexed citations
12.
Adolf, Florian‐Michael, et al.. (2013). Trajectory Time Reduction using Field of View-based Smoothing of Roadmap-based Paths. elib (German Aerospace Center). 4 indexed citations
13.
Goerzen, Chad, et al.. (2012). Development and Flight Testing of Flight Control Laws for Autonomous Operations Research on the RASCAL JUH-60A. 2 indexed citations
14.
Mettler, Bernard, et al.. (2010). Benchmarking of obstacle field navigation algorithms for autonomous helicopters. 3. 1936–1953. 28 indexed citations
15.
Goerzen, Chad, et al.. (2009). Field-Testing of a Helicopter UAV Obstacle Field Navigation and Landing System. 22 indexed citations
16.
Goerzen, Chad, Zhaodan Kong, & Bernard Mettler. (2009). A Survey of Motion Planning Algorithms from the Perspective of Autonomous UAV Guidance. Journal of Intelligent & Robotic Systems. 57(1-4). 65–100. 548 indexed citations breakdown →

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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2026