David S. Bayard

3.6k total citations · 1 hit paper
171 papers, 2.6k citations indexed

About

David S. Bayard is a scholar working on Control and Systems Engineering, Aerospace Engineering and Civil and Structural Engineering. According to data from OpenAlex, David S. Bayard has authored 171 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Control and Systems Engineering, 65 papers in Aerospace Engineering and 19 papers in Civil and Structural Engineering. Recurrent topics in David S. Bayard's work include Control Systems and Identification (36 papers), Adaptive Control of Nonlinear Systems (29 papers) and Inertial Sensor and Navigation (24 papers). David S. Bayard is often cited by papers focused on Control Systems and Identification (36 papers), Adaptive Control of Nonlinear Systems (29 papers) and Inertial Sensor and Navigation (24 papers). David S. Bayard collaborates with scholars based in United States, France and Australia. David S. Bayard's co-authors include John T. Wen, Alan Schumitzky, Roger W. Jelliffe, Michael Van Guilder, Michael Neely, Fred Y. Hadaegh, Behçet Açıkmeşe, Yeung Yam, Mark H. Milman and Walter M. Yamada and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and CHEST Journal.

In The Last Decade

David S. Bayard

167 papers receiving 2.5k citations

Hit Papers

Prospective Trial on the Use of Trough Concentration vers... 2017 2026 2020 2023 2017 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Prospective Trial on the Use of Trough Concentration versus Area under the Curve To Determine Therapeutic Vancomycin Dosing
    2017 268 citations Michael Neely, David S. Bayard et al. profile →

Peers

David S. Bayard
H. Troger Austria
Guoping Lü China
Om P. Agrawal United States
Thomas S. Parker United States
Yun Zou China
Aleksandr Y. Aravkin United States
Jarmo Takala Finland
John Paisley United States
Clyde F. Martin United States
Rolf Schneider Germany
H. Troger Austria
David S. Bayard
Citations per year, relative to David S. Bayard David S. Bayard (= 1×) peers H. Troger

Countries citing papers authored by David S. Bayard

Since Specialization
Citations

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

Fields of papers citing papers by David S. Bayard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David S. Bayard. 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 David S. Bayard. The network helps show where David S. Bayard may publish in the future.

Co-authorship network of co-authors of David S. Bayard

This figure shows the co-authorship network connecting the top 25 collaborators of David S. Bayard. A scholar is included among the top collaborators of David S. Bayard 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 David S. Bayard. David S. Bayard 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.
Balas, Mark J., et al.. (2022). A Path to Solving Robotic Differential Equations Using Quantum Computing. 2(3). 3 indexed citations
2.
Nesnas, Issa, Benjamin Hockman, Benjamin Morrell, et al.. (2021). Autonomous Exploration of Small Bodies Toward Greater Autonomy for Deep Space Missions. Frontiers in Robotics and AI. 8. 650885–650885. 12 indexed citations
3.
Jarvis, Benjamin W., Gary P. T. Choi, Benjamin Hockman, et al.. (2021). 3D Shape Reconstruction of Small Bodies From Sparse Features. IEEE Robotics and Automation Letters. 6(4). 7089–7096. 4 indexed citations
4.
5.
Neely, Michael, Teresa Rushing, Xiaowei Fu, et al.. (2016). Accurately Achieving Target Busulfan Exposure in Children and Adolescents With Very Limited Sampling and the BestDose Software. Therapeutic Drug Monitoring. 38(3). 332–342. 52 indexed citations
6.
Bayard, David S. & Michael Neely. (2016). Experiment design for nonparametric models based on minimizing Bayes Risk: application to voriconazole$$^{1}$$. Journal of Pharmacokinetics and Pharmacodynamics. 44(2). 95–111. 14 indexed citations
7.
Açıkmeşe, Behçet & David S. Bayard. (2014). Probabilistic swarm guidance for collaborative autonomous agents. 477–482. 12 indexed citations
8.
Bayard, David S. & Alan Schumitzky. (2008). Implicit dual control based on particle filtering and forward dynamic programming. International Journal of Adaptive Control and Signal Processing. 24(3). 155–177. 22 indexed citations
9.
Shoemaker, William C., Charles C.J. Wo, Kevin Lu, et al.. (2006). Noninvasive Hemodynamic Monitoring for Combat Casualties. Military Medicine. 171(9). 813–820. 15 indexed citations
10.
Shoemaker, William C., et al.. (2005). Outcome Prediction in Chest Injury by a Mathematical Search and Display Program. CHEST Journal. 128(4). 2739–2748. 3 indexed citations
11.
Shoemaker, William C., David S. Bayard, Charles C.J. Wo, et al.. (2005). Stochastic model for outcome prediction in acute illness. Computers in Biology and Medicine. 36(6). 585–600. 2 indexed citations
12.
Bayard, David S. & Roger W. Jelliffe. (2004). A Bayesian Approach to Tracking Patients Having Changing Pharmacokinetic Parameters. Journal of Pharmacokinetics and Pharmacodynamics. 31(1). 75–107. 48 indexed citations
13.
Bayard, David S., et al.. (1999). Deep Space Control Challenges of the New Millennium. 1 indexed citations
14.
Bayard, David S.. (1997). Adaptive neural star tracker calibration for precision spacecraft pointing and tracking. 2(17). 75–80. 3 indexed citations
15.
Bayard, David S., Kia Teymourian, & Jeffrey Van Cleve. (1997). Reconfigurable Pointing Control for High Resolution Space Spectroscopy. 1. 982. 4 indexed citations
16.
Bayard, David S., et al.. (1995). Pharmaco-informatics: more precise drug therapy from 'multiple model' (MM) adaptive control regimens: evaluation with simulated vancomycin therapy.. PubMed. 8 Pt 2. 1106–10. 4 indexed citations
17.
Bayard, David S.. (1992). Reduced complexity dynamic programming based on policy iteration. Journal of Mathematical Analysis and Applications. 170(1). 75–103. 16 indexed citations
18.
Bayard, David S., et al.. (1990). Experimental study of robustness in adaptive control for large flexible structures. 1 indexed citations
19.
Wen, John T. & David S. Bayard. (1988). New class of control laws for robotic manipulators. I - Nonadaptive case. II - Adaptive case. International Journal of Control. 47. 18 indexed citations
20.
Bayard, David S., et al.. (1987). Adaptive Control for Flexible Space Structures with Measurement Noise. American Control Conference. 368–379. 20 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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