D.S. Gilliam

1.7k total citations
86 papers, 1.0k citations indexed

About

D.S. Gilliam is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics and Mathematical Physics. According to data from OpenAlex, D.S. Gilliam has authored 86 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Control and Systems Engineering, 34 papers in Computational Theory and Mathematics and 28 papers in Mathematical Physics. Recurrent topics in D.S. Gilliam's work include Stability and Controllability of Differential Equations (52 papers), Advanced Mathematical Modeling in Engineering (30 papers) and Numerical methods in inverse problems (20 papers). D.S. Gilliam is often cited by papers focused on Stability and Controllability of Differential Equations (52 papers), Advanced Mathematical Modeling in Engineering (30 papers) and Numerical methods in inverse problems (20 papers). D.S. Gilliam collaborates with scholars based in United States, Italy and Australia. D.S. Gilliam's co-authors include V.I. Shubov, C.I. Byrnes, Istvan Lauko, George H. Weiss, Clyde F. Martin, Eugenio Aulisa, Vivek Natarajan, Christopher I. Byrnes, Joachim Rosenthal and Biswa Nath Datta and has published in prestigious journals such as IEEE Transactions on Automatic Control, Marine Pollution Bulletin and Ecological Indicators.

In The Last Decade

D.S. Gilliam

82 papers receiving 930 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D.S. Gilliam United States 16 694 371 297 196 155 86 1.0k
Weijiu Liu United States 15 748 1.1× 499 1.3× 322 1.1× 118 0.6× 184 1.2× 49 1.1k
Qi Lü China 22 622 0.9× 502 1.4× 361 1.2× 59 0.3× 379 2.4× 96 1.4k
Fritz Colonius Germany 19 596 0.9× 216 0.6× 370 1.2× 136 0.7× 338 2.2× 100 1.2k
Michael S. Jolly United States 21 498 0.7× 220 0.6× 116 0.4× 113 0.6× 432 2.8× 64 1.2k
Rafael Bru Spain 18 223 0.3× 693 1.9× 36 0.1× 352 1.8× 82 0.5× 84 1.1k
Giuseppe Buttazzo Italy 15 96 0.1× 461 1.2× 197 0.7× 87 0.4× 62 0.4× 42 1.2k
Peter H. Baxendale United States 14 160 0.2× 112 0.3× 251 0.8× 34 0.2× 195 1.3× 29 828
В. А. Галактионов Russia 14 189 0.3× 161 0.4× 211 0.7× 136 0.7× 107 0.7× 132 844
George Philip Szegö Italy 7 378 0.5× 97 0.3× 176 0.6× 70 0.4× 168 1.1× 11 854
S.N. Chow United States 10 245 0.4× 265 0.7× 114 0.4× 213 1.1× 207 1.3× 16 777

Countries citing papers authored by D.S. Gilliam

Since Specialization
Citations

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

Fields of papers citing papers by D.S. Gilliam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D.S. Gilliam

This figure shows the co-authorship network connecting the top 25 collaborators of D.S. Gilliam. A scholar is included among the top collaborators of D.S. Gilliam 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 D.S. Gilliam. D.S. Gilliam 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.
Aulisa, Eugenio, John A. Burns, & D.S. Gilliam. (2023). Approximate tracking for distributed parameter systems using only sensed data. Systems & Control Letters. 173. 105477–105477. 2 indexed citations
2.
Aulisa, Eugenio, et al.. (2019). Analysis of the error in an iterative algorithm for asymptotic regulation of linear distributed parameter control systems. ESAIM Mathematical Modelling and Numerical Analysis. 53(5). 1577–1606. 3 indexed citations
3.
Aulisa, Eugenio, et al.. (2018). Analysis of an iterative scheme for approximate regulation for nonlinear systems. International Journal of Robust and Nonlinear Control. 28(8). 3140–3173. 3 indexed citations
4.
Aulisa, Eugenio, John A. Burns, & D.S. Gilliam. (2015). The effect of viscosity in a tracking regulation problem for a counter-flow heat exchanger. 561–566. 3 indexed citations
5.
Byrnes, C.I., et al.. (2010). Zero dynamics boundary control for regulation of the Kuramoto–Sivashinsky equation. Mathematical and Computer Modelling. 52(5-6). 875–891. 9 indexed citations
6.
Banks, Kenneth, et al.. (2009). Elevated sedimentation on coral reefs adjacent to a beach nourishment project. Marine Pollution Bulletin. 60(2). 261–271. 29 indexed citations
7.
Eubank, R. L., et al.. (2007). Some properties of canonical correlations and variates in infinite dimensions. Journal of Multivariate Analysis. 99(6). 1083–1104. 17 indexed citations
8.
Byrnes, C.I., D.S. Gilliam, Alberto Isidori, & V.I. Shubov. (2006). Zero dynamics modeling and boundary feedback design for parabolic systems. Mathematical and Computer Modelling. 44(9-10). 857–869. 12 indexed citations
9.
Byrnes, C.I. & D.S. Gilliam. (2003). Asymptotic properties of root locus for distributed parameter systems. 45–51. 7 indexed citations
10.
Allen, E.J., John A. Burns, D.S. Gilliam, Joseph C. Hill, & V.I. Shubov. (2002). The impact of finite precision arithmetic and sensitivity on the numerical solution of partial differential equations. Mathematical and Computer Modelling. 35(11-12). 1165–1195. 10 indexed citations
11.
Byrnes, C.I., Istvan Lauko, D.S. Gilliam, & V.I. Shubov. (2002). Output regulation for parabolic distributed parameter systems: set point control. 3. 2225–2230. 1 indexed citations
12.
Picci, Giorgio & D.S. Gilliam. (1999). Dynamical Systems, Control, Coding, Computer Vision: New Trends, Interfaces, and Interplay. CERN Document Server (European Organization for Nuclear Research). 3 indexed citations
13.
Gilliam, D.S., et al.. (1998). On the Global Dynamics of a Controlled Viscous Burgers' Equation. Journal of Dynamical and Control Systems. 4(4). 457–519. 47 indexed citations
14.
Byrnes, Christopher I., Biswa Nath Datta, Clyde F. Martin, & D.S. Gilliam. (1997). Systems and Control in the Twenty-First Century. Birkhäuser Boston eBooks. 47 indexed citations
15.
Gilliam, D.S., Peter A. Hall, & F.H. Ruymgaart. (1993). Rate of Convergence of the Empirical Radon Transform. Journal of Multivariate Analysis. 44(1). 115–145. 5 indexed citations
16.
Gilliam, D.S., B.A. Mair, & Clyde F. Martin. (1991). An Inverse Convolution Method for Regular Parabolic Equations. SIAM Journal on Control and Optimization. 29(1). 71–88. 3 indexed citations
17.
Gilliam, D.S. & John R. Schulenberger. (1986). The propagation of electromagnetic waves through, along, and over a three-dimensional conducting half space. P. Lang eBooks. 1 indexed citations
18.
Gilliam, D.S.. (1985). Electromagnetic waves in a three-dimensional asymmetric dielectric slab waveguide. Journal of Mathematical Analysis and Applications. 109(1). 31–73. 1 indexed citations
19.
Gilliam, D.S. & John R. Schulenberger. (1983). On the structure of surface waves. Advances in Applied Mathematics. 4(2). 212–243. 2 indexed citations
20.
Gilliam, D.S. & John R. Schulenberger. (1982). Electromagnetic waves in a three-dimensional half space with a dissipative boundary. Journal of Mathematical Analysis and Applications. 89(1). 129–185. 5 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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