David L. Powers

1.6k total citations
65 papers, 1.2k citations indexed

About

David L. Powers is a scholar working on Computational Theory and Mathematics, Control and Systems Engineering and Molecular Biology. According to data from OpenAlex, David L. Powers has authored 65 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computational Theory and Mathematics, 13 papers in Control and Systems Engineering and 12 papers in Molecular Biology. Recurrent topics in David L. Powers's work include Matrix Theory and Algorithms (30 papers), Graph theory and applications (8 papers) and graph theory and CDMA systems (8 papers). David L. Powers is often cited by papers focused on Matrix Theory and Algorithms (30 papers), Graph theory and applications (8 papers) and graph theory and CDMA systems (8 papers). David L. Powers collaborates with scholars based in United States, Chile and Egypt. David L. Powers's 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, Chi‐Huey Wong and H. Jane Dyson and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

David L. Powers

61 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David L. Powers United States 16 593 258 195 165 162 65 1.2k
J.A. Burns United States 22 412 0.7× 83 0.3× 19 0.1× 232 1.4× 152 0.9× 66 2.2k
Zhi‐An Wang China 37 1.5k 2.5× 620 2.4× 16 0.1× 82 0.5× 145 0.9× 150 4.0k
Xingwu Chen China 20 201 0.3× 66 0.3× 13 0.1× 87 0.5× 29 0.2× 108 1.2k
František Franěk Czechia 26 1.2k 2.1× 169 0.7× 84 0.4× 40 0.2× 7 0.0× 148 2.0k
Julie C. Mitchell United States 20 1.2k 2.1× 378 1.5× 55 0.3× 299 1.8× 23 0.1× 55 1.7k
Chengxiang Zhang China 18 690 1.2× 103 0.4× 40 0.2× 126 0.8× 17 0.1× 61 1.4k
Kelin Xia Singapore 26 1.0k 1.7× 1.1k 4.4× 69 0.4× 329 2.0× 12 0.1× 92 2.0k
Chihiro Hayashi Japan 16 309 0.5× 14 0.1× 16 0.1× 103 0.6× 103 0.6× 78 1.1k
Guang Song United States 23 1.2k 1.9× 183 0.7× 15 0.1× 535 3.2× 185 1.1× 71 1.7k
Kazuhiko Fukui Japan 21 590 1.0× 101 0.4× 25 0.1× 204 1.2× 8 0.0× 114 1.4k

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-authorship network of co-authors of David L. Powers

This figure shows the co-authorship network connecting the top 25 collaborators of David L. Powers. A scholar is included among the top collaborators of David L. Powers 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 L. Powers. David L. Powers 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.
2.
Powers, David L., et al.. (2019). Kinetic versus thermodynamic control of mutational effects on protein homeostasis: A perspective from computational modeling and experiment. Protein Science. 28(7). 1324–1339. 6 indexed citations
3.
Monteiro, Cecília, João Anselmo, Marta Novais, et al.. (2019). Predictive model of response to tafamidis in hereditary ATTR polyneuropathy. JCI Insight. 4(12). 60 indexed citations
4.
Murray, Amber N., Wentao Chen, Aristotelis Antonopoulos, et al.. (2015). Enhanced Aromatic Sequons Increase Oligosaccharyltransferase Glycosylation Efficiency and Glycan Homogeneity. Chemistry & Biology. 22(8). 1052–1062. 39 indexed citations
5.
Cho, Younhee, Xin Zhang, Yu Liu, et al.. (2015). Individual and Collective Contributions of Chaperoning and Degradation to Protein Homeostasis in E. coli. Cell Reports. 11(2). 321–333. 39 indexed citations
6.
Chen, Wentao, Joshua L. Price, David L. Powers, et al.. (2013). Structural and Energetic Basis of Carbohydrate–Aromatic Packing Interactions in Proteins. Journal of the American Chemical Society. 135(26). 9877–9884. 80 indexed citations
7.
Powers, Evan T., David L. Powers, & Lila M. Gierasch. (2012). FoldEco: A Model for Proteostasis in E. coli. Cell Reports. 1(3). 265–276. 62 indexed citations
8.
Powers, David L.. (2009). Boundary Value Problems and Partial Differential Equations Ed. 6. Elsevier eBooks. 29 indexed citations
9.
Powers, Evan T. & David L. Powers. (2006). The Kinetics of Nucleated Polymerizations at High Concentrations: Amyloid Fibril Formation Near and Above the “Supercritical Concentration”. Biophysical Journal. 91(1). 122–132. 169 indexed citations
10.
Powers, Evan T. & David L. Powers. (2003). A Perspective on Mechanisms of Protein Tetramer Formation. Biophysical Journal. 85(6). 3587–3599. 41 indexed citations
11.
Lovass‐Nagy, V., David L. Powers, & Robert Schilling. (1996). Addenda to "On regularizing descriptor systems by output feedback". IEEE Transactions on Automatic Control. 41(11). 1689–1690. 2 indexed citations
12.
Lovass‐Nagy, V., David L. Powers, & Robert Schilling. (1994). On regularizing descriptor systems by output feedback. IEEE Transactions on Automatic Control. 39(7). 1507–1509. 31 indexed citations
13.
Powers, David L.. (1989). Bounds on graph eigenvalues. Linear Algebra and its Applications. 117. 1–6. 16 indexed citations
14.
Powers, David L.. (1988). Graph partitioning by Eigenvectors. Linear Algebra and its Applications. 101. 121–133. 51 indexed citations
15.
Powers, David L., et al.. (1982). The walk partition and colorations of a graph. Linear Algebra and its Applications. 48. 145–159. 18 indexed citations
16.
Powers, David L.. (1976). A block Geršgorin theorem. Linear Algebra and its Applications. 13(1-2). 45–52. 2 indexed citations
17.
Lovass‐Nagy, V. & David L. Powers. (1976). On Least Squares Solutions of an Inconsistent Singular Equation $AX + XB = C$. SIAM Journal on Applied Mathematics. 31(1). 84–88. 1 indexed citations
18.
Lovass‐Nagy, V., et al.. (1973). A modified ADI method for computing the “best least-squares solution” of an incompatible system (A×I+I×B)x=g. Linear Algebra and its Applications. 7(2). 179–185. 1 indexed citations
19.
Lovass‐Nagy, V. & David L. Powers. (1971). On the commuting reciprocal inverse of some partitioned matrices. Linear Algebra and its Applications. 4(2). 183–190. 2 indexed citations
20.
Lovass‐Nagy, V. & David L. Powers. (1970). On functions of partitioned matrices with nondiagonalizable submatrices. Linear Algebra and its Applications. 3(2). 257–262. 1 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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