Michael McFarland

679 total citations
21 papers, 445 citations indexed

About

Michael McFarland is a scholar working on Aerospace Engineering, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Michael McFarland has authored 21 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Aerospace Engineering, 15 papers in Control and Systems Engineering and 7 papers in Computational Theory and Mathematics. Recurrent topics in Michael McFarland's work include Guidance and Control Systems (17 papers), Adaptive Control of Nonlinear Systems (15 papers) and Adaptive Dynamic Programming Control (7 papers). Michael McFarland is often cited by papers focused on Guidance and Control Systems (17 papers), Adaptive Control of Nonlinear Systems (15 papers) and Adaptive Dynamic Programming Control (7 papers). Michael McFarland collaborates with scholars based in United States and China. Michael McFarland's co-authors include Anthony Calise, D. Brett Ridgely, Christopher D’Souza, Yizhou Zhuang, Yang Yang, Rolf Rysdyk, Brian K. Taylor, Quang Lam, Samy Missoum and Philip Beran and has published in prestigious journals such as IEEE Transactions on Control Systems Technology, Journal of Guidance Control and Dynamics and Measurement.

In The Last Decade

Michael McFarland

20 papers receiving 418 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael McFarland United States 12 359 266 60 38 22 21 445
Jann Peter Strand Norway 9 559 1.6× 137 0.5× 63 1.1× 36 0.9× 33 1.5× 12 694
Wayne Durham United States 13 556 1.5× 352 1.3× 35 0.6× 52 1.4× 38 1.7× 37 730
Yongkyu Song South Korea 7 279 0.8× 108 0.4× 120 2.0× 21 0.6× 16 0.7× 17 384
John W. Sunkel United States 15 479 1.3× 265 1.0× 60 1.0× 26 0.7× 9 0.4× 58 632
Barton J. Bacon United States 12 333 0.9× 292 1.1× 30 0.5× 13 0.3× 14 0.6× 27 501
D. Brett Ridgely United States 14 431 1.2× 228 0.9× 27 0.5× 36 0.9× 6 0.3× 48 534
Christelle Pittet France 12 391 1.1× 240 0.9× 15 0.3× 24 0.6× 13 0.6× 51 534
Elbrous M. Jafarov Türkiye 11 476 1.3× 179 0.7× 33 0.6× 17 0.4× 14 0.6× 44 549
B. Sridhar United States 9 206 0.6× 120 0.5× 28 0.5× 52 1.4× 53 2.4× 27 349
E. G. Rynaski United States 8 381 1.1× 360 1.4× 47 0.8× 15 0.4× 26 1.2× 22 565

Countries citing papers authored by Michael McFarland

Since Specialization
Citations

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

Fields of papers citing papers by Michael McFarland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael McFarland

This figure shows the co-authorship network connecting the top 25 collaborators of Michael McFarland. A scholar is included among the top collaborators of Michael McFarland 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 Michael McFarland. Michael McFarland 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.
Yang, Yang, et al.. (2020). Damage detection of underwater foundation of a Chinese ancient stone arch bridge via sonar-based techniques. Measurement. 169. 108283–108283. 33 indexed citations
2.
Lam, Quang, et al.. (2008). Adaptive Guidance and Control for Space Access Vehicle Subject to Control Surface Failures. AIAA Guidance, Navigation and Control Conference and Exhibit. 5 indexed citations
3.
Missoum, Samy, et al.. (2008). Reliability-Based Design Optimization of Nonlinear Aeroelastic Problems. 2 indexed citations
4.
McFarland, Michael & Anthony Calise. (2005). Robustness analysis for a neural network based adaptive control scheme. 3. 2158–2162. 1 indexed citations
5.
McFarland, Michael, et al.. (2003). Motion planning for reduced observability of autonomous aerial vehicles. 1. 231–235. 14 indexed citations
6.
McFarland, Michael & Anthony Calise. (2000). Neural Networks and Adaptive Nonlinear Control of Agile Antiair Missiles. Journal of Guidance Control and Dynamics. 23(3). 547–553. 30 indexed citations
7.
McFarland, Michael, et al.. (2000). Integrated missile guidance law and autopilot design using linear optimal control. AIAA Guidance, Navigation, and Control Conference and Exhibit. 11 indexed citations
8.
McFarland, Michael, et al.. (2000). Robustness of a nonlinear missile autopilot designed using dynamic inversion. AIAA Guidance, Navigation, and Control Conference and Exhibit. 34 indexed citations
9.
McFarland, Michael & Anthony Calise. (2000). Adaptive nonlinear control of agile antiair missiles using neural networks. IEEE Transactions on Control Systems Technology. 8(5). 749–756. 78 indexed citations
10.
Ridgely, D. Brett & Michael McFarland. (1999). Tailoring theory to practice in tactical missile control. IEEE Control Systems. 19(6). 49–55. 34 indexed citations
11.
McFarland, Michael, Rolf Rysdyk, & Anthony Calise. (1999). Robust adaptive control using single-hidden-layer feedforward neural networks. 4178–4182 vol.6. 20 indexed citations
12.
McFarland, Michael. (1998). Augmentation of gain-scheduled missile autopilots using adaptive neural networks. Guidance, Navigation, and Control Conference and Exhibit. 3 indexed citations
13.
McFarland, Michael & D.T. Stansbery. (1998). Adaptive Nonlinear Autopilot for Anti-Air Missiles.. Defense Technical Information Center (DTIC). 2 indexed citations
14.
McFarland, Michael & Anthony Calise. (1997). Multilayer neural networks and adaptive nonlinear control of agile anti-air missiles. Guidance, Navigation, and Control Conference. 63 indexed citations
15.
McFarland, Michael & Anthony Calise. (1997). Robust adaptive control of uncertain nonlinear systems using neural networks. 1996–2000 vol.3. 46 indexed citations
16.
McFarland, Michael & Anthony Calise. (1996). Nonlinear Adaptive Control of Agile Anti-Air Missiles Using Neural Networks,. 4 indexed citations
17.
McFarland, Michael & Anthony Calise. (1996). Neural-adaptive nonlinear autopilot design for an agile anti-air missile. Guidance, Navigation, and Control Conference. 18 indexed citations
18.
McFarland, Michael & Anthony Calise. (1995). Hybrid Near-Optimal Atmospheric Guidance for Aeroassisted Orbit Transfer. Journal of Guidance Control and Dynamics. 18(1). 128–134. 3 indexed citations
19.
McFarland, Michael & Christopher D’Souza. (1994). Missile flight control with dynamic inversion and structured singular value synthesis. Guidance, Navigation, and Control Conference. 29 indexed citations
20.
McFarland, Michael & Anthony Calise. (1993). A hybrid approach to near-optimal atmospheric guidance for aeroassisted orbit transfer maneuvers. Guidance, Navigation and Control Conference. 2 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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