Frederick G. Harmon

436 total citations
24 papers, 337 citations indexed

About

Frederick G. Harmon is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering and Automotive Engineering. According to data from OpenAlex, Frederick G. Harmon has authored 24 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Aerospace Engineering, 8 papers in Electrical and Electronic Engineering and 6 papers in Automotive Engineering. Recurrent topics in Frederick G. Harmon's work include Advanced Aircraft Design and Technologies (6 papers), Rocket and propulsion systems research (4 papers) and Advanced Battery Technologies Research (3 papers). Frederick G. Harmon is often cited by papers focused on Advanced Aircraft Design and Technologies (6 papers), Rocket and propulsion systems research (4 papers) and Advanced Battery Technologies Research (3 papers). Frederick G. Harmon collaborates with scholars based in United States. Frederick G. Harmon's co-authors include Andrew A. Frank, Jean‐Jacques Chattot, Sanjay S. Joshi, Robert A. Canfield, Steven M. Ross, Garry Jacobs, William P. Baker, Richard Cobb, A.J. Terzuoli and Andrew Burke and has published in prestigious journals such as Neural Networks, Journal of Aircraft and Journal of Aerospace Engineering.

In The Last Decade

Frederick G. Harmon

19 papers receiving 305 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frederick G. Harmon United States 9 165 160 147 95 76 24 337
Jay Gundlach United States 5 29 0.2× 97 0.6× 180 1.2× 43 0.5× 15 0.2× 7 245
Peter Schmollgruber France 9 40 0.2× 174 1.1× 157 1.1× 14 0.1× 37 0.5× 15 245
Georges Ghazi Canada 11 58 0.4× 68 0.4× 233 1.6× 5 0.1× 16 0.2× 63 290
Andrew Wendorff United States 5 33 0.2× 120 0.8× 122 0.8× 17 0.2× 15 0.2× 8 187
Grant E. Carichner Canada 6 19 0.1× 224 1.4× 307 2.1× 8 0.1× 12 0.2× 7 399
J. Doudna United States 11 8 0.0× 63 0.4× 53 0.4× 310 3.3× 24 0.3× 14 423
R. Hugh Stone Australia 8 20 0.1× 54 0.3× 318 2.2× 8 0.1× 1 0.0× 14 364
B. Delfino Italy 10 15 0.1× 18 0.1× 28 0.2× 368 3.9× 5 0.1× 30 433
Yung-Hwan Byun South Korea 8 6 0.0× 58 0.4× 176 1.2× 16 0.2× 6 0.1× 45 303
Carsten M. Liersch Germany 12 5 0.0× 145 0.9× 251 1.7× 8 0.1× 5 0.1× 23 346

Countries citing papers authored by Frederick G. Harmon

Since Specialization
Citations

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

Fields of papers citing papers by Frederick G. Harmon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frederick G. Harmon. 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 Frederick G. Harmon. The network helps show where Frederick G. Harmon may publish in the future.

Co-authorship network of co-authors of Frederick G. Harmon

This figure shows the co-authorship network connecting the top 25 collaborators of Frederick G. Harmon. A scholar is included among the top collaborators of Frederick G. Harmon 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 Frederick G. Harmon. Frederick G. Harmon 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.
2.
Harmon, Frederick G., et al.. (2016). AC Power Monitoring System. DigitalCommons-Cedarville (Cedarville University). 1(1). 101–137.
3.
Ross, Steven M., Richard Cobb, William P. Baker, & Frederick G. Harmon. (2014). Implementation lessons and pitfalls for real‐time optimal control with stochastic systems. Optimal Control Applications and Methods. 2014(2). 198–217. 3 indexed citations
4.
Harmon, Frederick G., et al.. (2012). Integration, Validation, and Testing of a Hybrid-Electric Propulsion System for a Small Remotely Piloted Aircraft. DigitalCommons-Cedarville (Cedarville University). 17 indexed citations
5.
Harmon, Frederick G., et al.. (2011). Airborne Wind Energy: Implementation and Design for the US Air Force. 2 indexed citations
6.
Harmon, Frederick G., et al.. (2011). Testing of a Parallel Hybrid-Electric Propulsion System for use in a Small Remotely-Piloted Aircraft. DigitalCommons-Cedarville (Cedarville University). 7 indexed citations
7.
Harmon, Frederick G., et al.. (2011). Hybrid Gauss Pseudospectral and Generalized Polynomial Chaos Algorithm to Solve Stochastic Trajectory Optimization Problems. AIAA Guidance, Navigation, and Control Conference. 8 indexed citations
8.
Harmon, Frederick G., et al.. (2010). UAS Collision Avoidance Algorithm Based on an Aggregate Collision Cone Approach. Journal of Aerospace Engineering. 24(4). 463–477. 11 indexed citations
9.
Harmon, Frederick G., et al.. (2010). Analysis of Hybrid-Electric Propulsion System Designs for Small Unmanned Aircraft Systems. DigitalCommons-Cedarville (Cedarville University). 49 indexed citations
10.
Harmon, Frederick G., et al.. (2009). UAS Collision Avoidance Algorithm Minimizing Impact on Route Surveillance. AIAA Guidance, Navigation, and Control Conference. 8 indexed citations
11.
Canfield, Robert A., et al.. (2009). Tools for Conceptual Design and Engineering Analysis of Micro Air Vehicles. 47th AIAA Aerospace Sciences Meeting including The New Horizons Forum and Aerospace Exposition. 11 indexed citations
12.
Harmon, Frederick G., Andrew A. Frank, & Jean‐Jacques Chattot. (2006). Conceptual Design and Simulation of a Small Hybrid-Electric Unmanned Aerial Vehicle. Journal of Aircraft. 43(5). 1490–1498. 100 indexed citations
13.
Harmon, Frederick G., Andrew A. Frank, & Sanjay S. Joshi. (2006). Application of a CMAC neural network to the control of a parallel hybrid-electric propulsion system for a small unmanned aerial vehicle. Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.. 2. 355–360. 27 indexed citations
14.
Harmon, Frederick G., et al.. (2005). The Control of a Parallel Hybrid-Electric Propulsion System for a Small Unmanned Aerial Vehicle Using a CMAC Neural Network. DigitalCommons-Cedarville (Cedarville University). 1 indexed citations
15.
Frank, Andrew A. & Frederick G. Harmon. (2005). Neural network control of a parallel hybrid-electric propulsion system for a small unmanned aerial vehicle. PhDT. 15 indexed citations
16.
Harmon, Frederick G., Andrew A. Frank, & Sanjay S. Joshi. (2005). The control of a parallel hybrid-electric propulsion system for a small unmanned aerial vehicle using a CMAC neural network. Neural Networks. 18(5-6). 772–780. 59 indexed citations
17.
Harmon, Frederick G., et al.. (2004). Parallel Hybrid-Electric Propulsion System for an Unmanned Aerial Vehicle. DigitalCommons-Cedarville (Cedarville University). 4 indexed citations
18.
Harmon, Frederick G. & A.J. Terzuoli. (1997). Application of a finite-volume time-domain Maxwell equation solver to three-dimensional objects. 3 indexed citations
19.
Harmon, Frederick G.. (1989). The Executive Odyssey: Secrets for a Career Without Limits. Medical Entomology and Zoology.
20.
Harmon, Frederick G. & Garry Jacobs. (1985). The Vital Difference: Unleashing the Powers of Sustained Corporate Success. Medical Entomology and Zoology. 4 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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