D.S. Gilliam

70 papers receiving 745 citations

Peers

D.S. Gilliam
Comparison fields: 5 of 82
  • Numerical Analysis 145
  • Mathematical Physics 215
  • Control and Systems Engineering 535
  • Computational Theory and Mathematics 289
  • Statistical and Nonlinear Physics 117
Replace Fritz Colonius with:
Fritz Colonius Germany
Weijiu Liu United States
Sergei Avdonin United States
S.N. Chow United States
С. А. Иванов Russia
Wolfgang Desch Austria
Peter Giesl United Kingdom
George Philip Szegö United States
Qi Lü China
James S. Vandergraft United States
D.S. Gilliam relative to Fritz Colonius Germany Fritz Colonius's profile →
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Citations per year

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-authors

The 25 scholars most cited alongside D.S. Gilliam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D.S. Gilliam Line = papers co-authored together D.S. Gilliam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000190
2 201551
3 200349
4 199747
5 199847
6 200244
7 200929
8 201325
9 200717
10 199017
11 200117
12 200417
13 198815
14 200714
15 200612
16 200210
17 200310
18 20099
19 20109
20 19908

About D.S. Gilliam

D.S. Gilliam is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics, Mathematical Physics, Numerical Analysis and Computer Networks and Communications, having authored 74 papers that have together received 801 indexed citations. Recurring topics across this work include Stability and Controllability of Differential Equations (48 papers), Advanced Mathematical Modeling in Engineering (26 papers), Numerical methods in inverse problems (17 papers), Numerical methods for differential equations (16 papers), Nonlinear Dynamics and Pattern Formation (12 papers), Model Reduction and Neural Networks (6 papers), Advanced Numerical Methods in Computational Mathematics (5 papers) and Advanced Mathematical Physics Problems (4 papers). The work is most often cited by research in Numerical Analysis (145 citations), Mathematical Physics (215 citations), Control and Systems Engineering (535 citations), Computational Theory and Mathematics (289 citations) and Statistical and Nonlinear Physics (117 citations). D.S. Gilliam has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include V.I. Shubov, C.I. Byrnes, Istvan Lauko, Eugenio Aulisa, Clyde F. Martin, Joachim Rosenthal, Christopher I. Byrnes, Biswa Nath Datta, F.H. Ruymgaart and George H. Weiss. Their work appears in journals such as Mathematical and Computer Modelling, International Journal of Control, Journal of Mathematical Analysis and Applications, International Journal of Robust and Nonlinear Control and Journal of Dynamical and Control Systems.

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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