David L. Powers

61 papers receiving 1.2k citations

Peers

David L. Powers
Comparison fields: 5 of 133
  • Geometry and Topology 144
  • Computational Theory and Mathematics 261
  • Numerical Analysis 79
  • Discrete Mathematics and Combinatorics 35
  • Molecular Biology 593
Replace František Franěk with:
František Franěk Czechia
Zhi‐An Wang China
J.A. Burns United States
Michael J. Wester United States
Xingwu Chen China
Robert C. Busby United States
Shangbin Cui China
Nicolae H. Pavel United States
Can Chen China
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Citations per year

Countries citing papers authored by David L. Powers

Since Specialization
Citations

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

Fields of papers citing papers by David L. Powers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David L. Powers, 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 David L. Powers Line = papers co-authored together David L. Powers links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006170
2 2007170
3 201381
4 199064
5 201262
6 201960
7 201159
8 197857
9 198854
10 201541
11 200341
12 201539
13 199431
14
Boundary Value Problems and Partial Differential Equations Ed. 6
200929
15 198218
16 198916
17 198215
18 197814
19 197514
20 198114

About David L. Powers

David L. Powers is a scholar working on Computational Theory and Mathematics, Control and Systems Engineering, Molecular Biology, Numerical Analysis and Geometry and Topology, having authored 66 papers that have together received 1.3k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (30 papers), graph theory and CDMA systems (8 papers), Stability and Control of Uncertain Systems (8 papers), Graph theory and applications (8 papers), Protein Structure and Dynamics (7 papers), Numerical methods for differential equations (6 papers), Control Systems and Identification (5 papers) and Advanced Optimization Algorithms Research (5 papers). The work is most often cited by research in Geometry and Topology (144 citations), Computational Theory and Mathematics (261 citations), Numerical Analysis (79 citations), Discrete Mathematics and Combinatorics (35 citations) and Molecular Biology (593 citations). David L. Powers has collaborated with scholars based in United States, Chile and Portugal. Frequent co-authors include Evan T. Powers, V. Lovass‐Nagy, Jeffery W. Kelly, Richard J. Miller, Lila M. Gierasch, Joshua L. Price, Wentao Chen, Robert Schilling, H. Jane Dyson and Chi‐Huey Wong. Their work appears in journals such as International Journal of Control, Linear Algebra and its Applications, International Journal of Systems Science, SIAM Journal on Applied Mathematics and Biophysical Journal.

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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