Matthew B. Rhudy

1.6k total citations
73 papers, 1.1k citations indexed

About

Matthew B. Rhudy is a scholar working on Aerospace Engineering, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Matthew B. Rhudy has authored 73 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Aerospace Engineering, 37 papers in Artificial Intelligence and 10 papers in Control and Systems Engineering. Recurrent topics in Matthew B. Rhudy's work include Target Tracking and Data Fusion in Sensor Networks (35 papers), Inertial Sensor and Navigation (33 papers) and Aerospace and Aviation Technology (24 papers). Matthew B. Rhudy is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (35 papers), Inertial Sensor and Navigation (33 papers) and Aerospace and Aviation Technology (24 papers). Matthew B. Rhudy collaborates with scholars based in United States, South Korea and Italy. Matthew B. Rhudy's co-authors include Yu Gu, Jason N. Gross, Marcello R. Napolitano, Haiyang Chao, Marcello Napolitano, Wonkeun Youn, Srikanth Gururajan, Am Cho, Joseph M. Mahoney and Mario Luca Fravolini and has published in prestigious journals such as Journal of Biomechanics, Sensors and IEEE Transactions on Aerospace and Electronic Systems.

In The Last Decade

Matthew B. Rhudy

68 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew B. Rhudy United States 21 774 473 224 150 105 73 1.1k
Subramanian Ramasamy Australia 24 1.1k 1.4× 281 0.6× 130 0.6× 206 1.4× 169 1.6× 81 1.5k
Axel Barrau France 15 966 1.2× 590 1.2× 199 0.9× 358 2.4× 194 1.8× 37 1.3k
Dah‐Jing Jwo Taiwan 20 715 0.9× 649 1.4× 196 0.9× 223 1.5× 87 0.8× 78 1.2k
Zhi Xiong China 18 618 0.8× 339 0.7× 133 0.6× 311 2.1× 192 1.8× 137 947
Jian Lan China 20 529 0.7× 923 2.0× 262 1.2× 225 1.5× 125 1.2× 109 1.3k
Hongbing Ji China 20 554 0.7× 596 1.3× 211 0.9× 201 1.3× 348 3.3× 140 1.3k
Weidong Ding Australia 12 559 0.7× 387 0.8× 135 0.6× 211 1.4× 87 0.8× 17 792
Emmanuel Duflos France 14 393 0.5× 391 0.8× 90 0.4× 229 1.5× 103 1.0× 40 896
Domenico Accardo Italy 20 1.2k 1.5× 340 0.7× 126 0.6× 273 1.8× 378 3.6× 123 1.5k

Countries citing papers authored by Matthew B. Rhudy

Since Specialization
Citations

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

Fields of papers citing papers by Matthew B. Rhudy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew B. Rhudy. 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 Matthew B. Rhudy. The network helps show where Matthew B. Rhudy may publish in the future.

Co-authorship network of co-authors of Matthew B. Rhudy

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew B. Rhudy. A scholar is included among the top collaborators of Matthew B. Rhudy 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 Matthew B. Rhudy. Matthew B. Rhudy 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.
Rhudy, Matthew B., et al.. (2025). Accuracy of Apple Watch and Actigraphs during overground and treadmill walking. Human Movement. 83–90.
2.
Chao, Haiyang, et al.. (2025). Vertical Wind Velocity Estimation During UAS Fire Plume Encounters. ScholarSphere (Penn State Libraries).
3.
Mahoney, Joseph M., et al.. (2024). Identification of footstrike pattern using accelerometry and machine learning. Journal of Biomechanics. 174. 112255–112255.
4.
Rhudy, Matthew B., et al.. (2024). Knee Angle Estimation with Dynamic Calibration Using Inertial Measurement Units for Running. Sensors. 24(2). 695–695. 3 indexed citations
5.
Rhudy, Matthew B.. (2024). Short Writing Assignments within a Laboratory Course to Improve Understanding and Interest in Course Material. Papers on Engineering Education Repository (American Society for Engineering Education).
6.
Rhudy, Matthew B.. (2023). Selection of Tuning Parameters of the Unscented Kalman Filter using Analytical Truth Statistics. AIAA SCITECH 2023 Forum. 1 indexed citations
7.
Youn, Wonkeun, et al.. (2021). State Estimation for HALE UAVs With Deep-Learning-Aided Virtual AOA/SSA Sensors for Analytical Redundancy. IEEE Robotics and Automation Letters. 6(3). 5276–5283. 16 indexed citations
8.
Youn, Wonkeun, et al.. (2020). Model-Aided State Estimation of HALE UAV With Synthetic AOA/SSA for Analytical Redundancy. IEEE Sensors Journal. 20(14). 7929–7940. 28 indexed citations
9.
Youn, Wonkeun, et al.. (2020). Aerodynamic Model-Aided Estimation of Attitude, 3-D Wind, Airspeed, AOA, and SSA for High-Altitude Long-Endurance UAV. IEEE Transactions on Aerospace and Electronic Systems. 56(6). 4300–4314. 20 indexed citations
10.
Rhudy, Matthew B., et al.. (2019). Cut points of the Actigraph GT9X for moderate and vigorous intensity physical activity at four different wear locations. Journal of Sports Sciences. 38(5). 503–510. 28 indexed citations
11.
Rhudy, Matthew B.. (2018). A Kalman Filtering Tutorial For Undergraduate Students. Zenodo (CERN European Organization for Nuclear Research). 7 indexed citations
12.
13.
Gross, Jason N., Yu Gu, & Matthew B. Rhudy. (2015). Robust UAV Relative Navigation With DGPS, INS, and Peer-to-Peer Radio Ranging. IEEE Transactions on Automation Science and Engineering. 12(3). 935–944. 80 indexed citations
14.
Gu, Yu, et al.. (2013). Flight Data Analysis of Pilot-Induced-Oscillations of a Remotely Controlled Aircraft. AIAA Guidance, Navigation, and Control (GNC) Conference. 7 indexed citations
15.
Rhudy, Matthew B. & Yu Gu. (2013). Online Stochastic Convergence Analysis of the Kalman Filter. International Journal of Stochastic Analysis. 2013. 1–9. 28 indexed citations
16.
Rhudy, Matthew B., Yu Gu, & Marcello Napolitano. (2012). Relaxation of Initial Error and Noise Bounds for Stability of GPS/INS Attitude Estimation. AIAA Guidance, Navigation, and Control Conference. 10 indexed citations
17.
Gross, Jason N., Yu Gu, Matthew B. Rhudy, Srikanth Gururajan, & Marcello R. Napolitano. (2012). Flight-Test Evaluation of Sensor Fusion Algorithms for Attitude Estimation. IEEE Transactions on Aerospace and Electronic Systems. 48(3). 2128–2139. 82 indexed citations
18.
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
19.
Rhudy, Matthew B., Yu Gu, Jason N. Gross, & Marcello Napolitano. (2011). Sensitivity Analysis of EKF and UKF in GPS/INS Sensor Fusion. AIAA Guidance, Navigation, and Control Conference. 13 indexed citations
20.
Rhudy, Matthew B., et al.. (2009). Microphone Array Analysis Methods Using Cross-Correlations. 281–288. 24 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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