John Burken

982 total citations
60 papers, 688 citations indexed

About

John Burken is a scholar working on Control and Systems Engineering, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, John Burken has authored 60 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Control and Systems Engineering, 30 papers in Aerospace Engineering and 15 papers in Artificial Intelligence. Recurrent topics in John Burken's work include Control Systems and Identification (25 papers), Aerospace and Aviation Technology (24 papers) and Fault Detection and Control Systems (20 papers). John Burken is often cited by papers focused on Control Systems and Identification (25 papers), Aerospace and Aviation Technology (24 papers) and Fault Detection and Control Systems (20 papers). John Burken collaborates with scholars based in United States and Italy. John Burken's co-authors include Ping Lu, Frank W. Burcham, Nhan T. Nguyen, Giampiero Campa, Mario Perhinschi, John Kaneshige, Richard A. Larson, Brad Seanor, R.J. Clarke and Evan J. Butler 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

John Burken

57 papers receiving 646 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John Burken United States	16	545	317	67	51	40	60	688
Wayne Durham United States	13	556 1.0×	352 1.1×	35 0.5×	46 0.9×	52 1.3×	37	730
Bong-Jun Yang United States	13	438 0.8×	179 0.6×	96 1.4×	20 0.4×	47 1.2×	45	557
Marc Steinberg United States	16	638 1.2×	350 1.1×	97 1.4×	33 0.6×	12 0.3×	39	778
John E. Hurtado United States	13	227 0.4×	295 0.9×	25 0.4×	31 0.6×	44 1.1×	74	498
Xuerui Wang Netherlands	11	452 0.8×	330 1.0×	27 0.4×	26 0.5×	31 0.8×	24	594
E. G. Rynaski United States	8	381 0.7×	360 1.1×	47 0.7×	19 0.4×	53 1.3×	22	565
Raymond W. Prouty	5	331 0.6×	406 1.3×	25 0.4×	33 0.6×	64 1.6×	8	583
Vijay Patel India	13	311 0.6×	279 0.9×	31 0.5×	19 0.4×	15 0.4×	50	517
S.S. Banda United States	13	657 1.2×	324 1.0×	25 0.4×	23 0.5×	69 1.7×	52	808
Yuping Lu China	11	219 0.4×	272 0.9×	31 0.5×	20 0.4×	53 1.3×	77	457

Countries citing papers authored by John Burken

Since Specialization

Citations

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

Fields of papers citing papers by John Burken

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Burken

This figure shows the co-authorship network connecting the top 25 collaborators of John Burken. A scholar is included among the top collaborators of John Burken 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 John Burken. John Burken 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

Frost, Susan A., Marc Bodson, John Burken, et al.. (2015). Flight Control with Optimal Control Allocation Incorporating Structural Load Feedback. Journal of Aerospace Information Systems. 12(12). 825–834. 17 indexed citations

Johnson, Marcus, et al.. (2011). Handling Qualities Evaluations of Low Complexity Model Reference Adaptive Controllers for Reduced Pitch and Roll Damping Scenarios. AIAA Guidance, Navigation, and Control Conference. 18 indexed citations

Yedavalli, Rama K., et al.. (2011). Self-Organizing Radial Basis Function Networks for Adaptive Flight Control. Journal of Guidance Control and Dynamics. 34(3). 783–794. 7 indexed citations

Burken, John, et al.. (2010). L1 Adaptive Control Augmentation System with Application to the X-29 Lateral/Directional Dynamics: A Multi-Input Multi-Output Approach. AIAA Guidance, Navigation, and Control Conference. 13 indexed citations

Butler, Evan J., et al.. (2010). Modeling, Control, and Failure Stabilization of a Modified F-15: A Takagi-Sugeno Fuzzy Model Based Approach. AIAA Guidance, Navigation, and Control Conference. 3 indexed citations

Burken, John, et al.. (2006). Development and Flight Testing of a Neural Network Based Flight Control System on the NF-15B Aircraft. NASA Technical Reports Server (NASA). 5 indexed citations

Burken, John. (2005). Reconfigurable Flight Control Design using a Robust Servo LQR and Radial Basis Function Neural Networks. NASA STI Repository (National Aeronautics and Space Administration). 2 indexed citations

Burken, John, et al.. (2004). Adaptive robust control of an F-15 aircraft. 3191–3196 vol.4. 5 indexed citations

Perhinschi, Mario, et al.. (2004). Performance comparison of different neural augmentation for the NASA Gen-2 IFCS F-15 control laws. 3180–3184 vol.4. 6 indexed citations

10.

Burken, John, et al.. (2001). Full Envelope Reconfigurable Control Design for the X-33 Vehicle. 1 indexed citations

11.

Burken, John, et al.. (2001). Two Reconfigurable Flight-Control Design Methods: Robust Servomechanism and Control Allocation. Journal of Guidance Control and Dynamics. 24(3). 482–493. 146 indexed citations

12.

Lind, Rick & John Burken. (2000). mu-synthesis of an F/A-18 controller. AIAA Guidance, Navigation, and Control Conference and Exhibit. 4 indexed citations

13.

Burken, John, et al.. (1999). Reconfigurable flight control designs with application to the X-33 vehicle. Guidance, Navigation, and Control Conference and Exhibit. 38 indexed citations

14.

Burken, John & Frank W. Burcham. (1997). Flight-Test Results of Propulsion-Only Emergency Control System on MD-11 Airplane. Journal of Guidance Control and Dynamics. 20(5). 980–987. 33 indexed citations

15.

Lu, Ping & John Burken. (1994). Propulsion controlled aircraft: A nonlinear perspective. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations

16.

Burcham, Frank W. & John Burken. (1994). Flight testing a propulsion-controlled aircraft emergency flight control system on an F-15 airplane. NASA STI Repository (National Aeronautics and Space Administration). 19 indexed citations

17.

Clarke, R.J., et al.. (1994). X-29 flight control system: lessons learned. International Journal of Control. 59(1). 199–219. 16 indexed citations

18.

Burken, John. (1993). Flight-determined multivariable stability analysis and comparison of a control system. Journal of Guidance Control and Dynamics. 16(6). 1026–1031. 3 indexed citations

19.

Nissim, E. & John Burken. (1989). Control surface spanwise placement in active flutter suppression systems. NASA STI Repository (National Aeronautics and Space Administration). 2 indexed citations

20.

Gilyard, Glenn B. & John Burken. (1980). Development and flight test results of an autothrottle control system at Mach 3 cruise. NASA Technical Reports Server (NASA). 9 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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