Brad Seanor

1.4k total citations
49 papers, 1.1k citations indexed

About

Brad Seanor is a scholar working on Aerospace Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Brad Seanor has authored 49 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Aerospace Engineering, 27 papers in Control and Systems Engineering and 20 papers in Artificial Intelligence. Recurrent topics in Brad Seanor's work include Control Systems and Identification (21 papers), Target Tracking and Data Fusion in Sensor Networks (15 papers) and Aerospace and Aviation Technology (15 papers). Brad Seanor is often cited by papers focused on Control Systems and Identification (21 papers), Target Tracking and Data Fusion in Sensor Networks (15 papers) and Aerospace and Aviation Technology (15 papers). Brad Seanor collaborates with scholars based in United States, Italy and South Korea. Brad Seanor's co-authors include Marcello R. Napolitano, Giampiero Campa, Yu Gu, Marcello Napolitano, Mario Luca Fravolini, Srikanth Gururajan, Mario Perhinschi, A. Ficola, Yongkyu Song and Lorenzo Pollini and has published in prestigious journals such as IEEE Transactions on Control Systems Technology, IEEE Transactions on Aerospace and Electronic Systems and Journal of Guidance Control and Dynamics.

In The Last Decade

Brad Seanor

47 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brad Seanor United States 17 620 560 246 222 181 49 1.1k
Marcello Napolitano United States 17 695 1.1× 398 0.7× 330 1.3× 111 0.5× 225 1.2× 92 1.1k
Giampiero Campa United States 22 915 1.5× 745 1.3× 265 1.1× 256 1.2× 390 2.2× 91 1.6k
Qiping Chu Netherlands 19 617 1.0× 911 1.6× 218 0.9× 102 0.5× 161 0.9× 31 1.3k
Michael P. Vitus United States 16 214 0.3× 424 0.8× 176 0.7× 261 1.2× 235 1.3× 24 797
Guillaume Ducard Switzerland 16 559 0.9× 915 1.6× 201 0.8× 103 0.5× 208 1.1× 41 1.3k
Srikanth Gururajan United States 13 400 0.6× 266 0.5× 240 1.0× 191 0.9× 103 0.6× 52 671
Enric Xargay United States 22 906 1.5× 977 1.7× 91 0.4× 308 1.4× 363 2.0× 65 1.6k
Jovan Boskovic United States 28 800 1.3× 2.4k 4.3× 244 1.0× 324 1.5× 266 1.5× 130 2.9k
Morten Bisgaard Denmark 15 600 1.0× 505 0.9× 56 0.2× 145 0.7× 229 1.3× 31 1.0k
Tine Lefebvre Belgium 13 266 0.4× 471 0.8× 476 1.9× 99 0.4× 81 0.4× 27 885

Countries citing papers authored by Brad Seanor

Since Specialization
Citations

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

Fields of papers citing papers by Brad Seanor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brad Seanor

This figure shows the co-authorship network connecting the top 25 collaborators of Brad Seanor. A scholar is included among the top collaborators of Brad Seanor 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 Brad Seanor. Brad Seanor 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.
Gu, Yu, Srikanth Gururajan, Brad Seanor, Haiyang Chao, & Marcello R. Napolitano. (2013). Building better tools: Experimental UAV research at West Virginia University. 1454–1459. 4 indexed citations
2.
Rhudy, Matthew B., et al.. (2012). Mobile Ground Control Station Development for Fault Tolerant UAV Research. AIAA Guidance, Navigation, and Control Conference. 4 indexed citations
3.
Gu, Yu, et al.. (2008). Aircraft Attitude, Position, and Velocity Determination Using Sensor Fusion. AIAA Guidance, Navigation and Control Conference and Exhibit. 13 indexed citations
4.
Campa, Giampiero, et al.. (2008). GPS / MV Based Aerial Refueling for UAVs. AIAA Guidance, Navigation and Control Conference and Exhibit. 8 indexed citations
5.
Campa, Giampiero, et al.. (2008). A Comparison of Optical Flow algorithms for Real Time Aircraft Guidance and Navigation. AIAA Guidance, Navigation and Control Conference and Exhibit. 14 indexed citations
6.
Seanor, Brad, et al.. (2006). 3-Aircraft Formation Flight Experiment. 2006 14th Mediterranean Conference on Control and Automation. 1–6. 26 indexed citations
7.
Campa, Giampiero, Brad Seanor, Yu Gu, & Marcello R. Napolitano. (2005). NLDI guidance control laws for close formation flight. 2972–2977. 22 indexed citations
8.
Perhinschi, Mario, et al.. (2005). Design and Flight Testing of Intelligent Flight Control Laws for the WVU YF-22 Model Aircraft. AIAA Guidance, Navigation, and Control Conference and Exhibit. 7. 16 indexed citations
9.
Fravolini, Mario Luca, A. Ficola, Giampiero Campa, Marcello R. Napolitano, & Brad Seanor. (2004). Modeling and control issues for autonomous aerial refueling for UAVs using a probe–drogue refueling system. Aerospace Science and Technology. 8(7). 611–618. 73 indexed citations
10.
Perhinschi, Mario, Marcello Napolitano, Giampiero Campa, Brad Seanor, & Srikanth Gururajan. (2004). Design of Intelligent Flight Control Laws for the WVU YF-22 Model Aircraft. 8 indexed citations
11.
Campa, Giampiero, et al.. (2003). Design of Formation Control Laws for Research Aircraft Models. AIAA Guidance, Navigation, and Control Conference and Exhibit. 12 indexed citations
12.
Campa, Giampiero, et al.. (2003). Application of an improved LWR method to real-time aircraft parameter identification problems. 1. 197–202. 3 indexed citations
13.
Song, Yongkyu, Giampiero Campa, Marcello Napolitano, Brad Seanor, & Mario Perhinschi. (2002). Online Parameter Estimation Techniques Comparison Within a Fault Tolerant Flight Control System. Journal of Guidance Control and Dynamics. 25(3). 528–537. 48 indexed citations
14.
Campa, Giampiero, et al.. (2002). On‐line learning neural networks for sensor validation for the flight control system of a B777 research scale model. International Journal of Robust and Nonlinear Control. 12(11). 987–1007. 41 indexed citations
15.
Seanor, Brad, et al.. (2002). On-line aircraft parameter identification using fourier transform regression with an application to NASA F/A-18 harv flight data. KSME International Journal. 16(3). 327–337. 5 indexed citations
16.
Campa, Giampiero, Mario Luca Fravolini, Yongkyu Song, Marcello Napolitano, & Brad Seanor. (2001). An Improved LWR Method For On-Line Aircraft Parameter Identification. IFAC Proceedings Volumes. 34(15). 99–104. 1 indexed citations
17.
Napolitano, Marcello R., Yongkyu Song, & Brad Seanor. (2001). On-line parameter estimation for restructurable flight control systems. Aircraft Design. 4(1). 19–50. 28 indexed citations
18.
Napolitano, Marcello, et al.. (1999). Parameter estimation for the NASA SR-71 longitudinal and lateral/directional dynamics. 1 indexed citations
19.
Napolitano, Marcello R., et al.. (1999). A complete hardware package for a fault tolerant flight control system using online learning neural networks. CINECA IRIS Institutial research information system (University of Pisa). 2615–2619 vol.4. 9 indexed citations
20.
Napolitano, Marcello, et al.. (1994). Parameter estimation for a Cessna U-206 aircraft using the maximum likelihood method. 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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