Steven Pruess

1.1k total citations
36 papers, 821 citations indexed

About

Steven Pruess is a scholar working on Mathematical Physics, Computational Mechanics and Statistical and Nonlinear Physics. According to data from OpenAlex, Steven Pruess has authored 36 papers receiving a total of 821 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Mathematical Physics, 14 papers in Computational Mechanics and 11 papers in Statistical and Nonlinear Physics. Recurrent topics in Steven Pruess's work include Spectral Theory in Mathematical Physics (13 papers), Advanced Numerical Analysis Techniques (10 papers) and Quantum chaos and dynamical systems (9 papers). Steven Pruess is often cited by papers focused on Spectral Theory in Mathematical Physics (13 papers), Advanced Numerical Analysis Techniques (10 papers) and Quantum chaos and dynamical systems (9 papers). Steven Pruess collaborates with scholars based in United States, United Kingdom and Australia. Steven Pruess's co-authors include Charles T. Fulton, Nadhir A. Al-Baghli, V.F. Yesavage, M. Sami Selim, Uri M. Ascher, Robert D. Russell, D. B. Pearson, Yuantao Xie, Richard C. Allen and J. A. McNeil and has published in prestigious journals such as Journal of Computational Physics, Mathematics of Computation and SIAM Journal on Numerical Analysis.

In The Last Decade

Steven Pruess

36 papers receiving 694 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven Pruess United States 14 292 270 258 200 157 36 821
W. E. Olmstead United States 18 461 1.6× 214 0.8× 229 0.9× 207 1.0× 60 0.4× 92 1.1k
Арлен Михайлович Ильин Russia 10 437 1.5× 285 1.1× 208 0.8× 556 2.8× 96 0.6× 48 1.1k
René Pinnau Germany 17 181 0.6× 277 1.0× 424 1.6× 124 0.6× 46 0.3× 77 861
John Lund United States 16 425 1.5× 186 0.7× 148 0.6× 200 1.0× 21 0.1× 31 861
Kenneth L. Bowers United States 13 362 1.2× 121 0.4× 145 0.6× 154 0.8× 18 0.1× 25 685
Raimondas Čiegis Lithuania 13 352 1.2× 138 0.5× 145 0.6× 108 0.5× 38 0.2× 123 685
P. M. Anselone United States 16 280 1.0× 311 1.2× 225 0.9× 348 1.7× 26 0.2× 40 955
C. Palencia Spain 20 522 1.8× 126 0.5× 299 1.2× 255 1.3× 19 0.1× 37 867
G. L. Watson United Kingdom 12 118 0.4× 187 0.7× 139 0.5× 157 0.8× 38 0.2× 58 846
J. S. Gibson United States 15 184 0.6× 83 0.3× 105 0.4× 224 1.1× 24 0.2× 34 841

Countries citing papers authored by Steven Pruess

Since Specialization
Citations

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

Fields of papers citing papers by Steven Pruess

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven Pruess. 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 Steven Pruess. The network helps show where Steven Pruess may publish in the future.

Co-authorship network of co-authors of Steven Pruess

This figure shows the co-authorship network connecting the top 25 collaborators of Steven Pruess. A scholar is included among the top collaborators of Steven Pruess 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 Steven Pruess. Steven Pruess 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.
Fulton, Charles T., D. B. Pearson, & Steven Pruess. (2007). Efficient calculation of spectral density functions for specific classes of singular Sturm–Liouville problems. Journal of Computational and Applied Mathematics. 212(2). 150–178. 3 indexed citations
2.
Fulton, Charles T., D. B. Pearson, & Steven Pruess. (2007). New characterizations of spectral density functions for singular Sturm–Liouville problems. Journal of Computational and Applied Mathematics. 212(2). 194–213. 6 indexed citations
3.
Fulton, Charles T., D. B. Pearson, & Steven Pruess. (2004). Computing the spectral function for singular Sturm–Liouville problems. Journal of Computational and Applied Mathematics. 176(1). 131–162. 11 indexed citations
4.
Al-Baghli, Nadhir A., Steven Pruess, V.F. Yesavage, & M. Sami Selim. (2001). A rate-based model for the design of gas absorbers for the removal of CO2 and H2S using aqueous solutions of MEA and DEA. Fluid Phase Equilibria. 185(1-2). 31–43. 85 indexed citations
5.
Pruess, Steven & Charles T. Fulton. (1996). Error Analysis in the Approximation of Sturm–Liouville Spectral Density Functions. Journal of Mathematical Analysis and Applications. 203(2). 518–539. 3 indexed citations
6.
Pruess, Steven & John D. Pryce. (1995). Numerical Solution of Strum-Liouville Problems.. Mathematics of Computation. 64(210). 892–892. 3 indexed citations
7.
Fulton, Charles T. & Steven Pruess. (1994). Eigenvalue and Eigenfunction Asymptotics for Regular Sturm-Liouville Problems. Journal of Mathematical Analysis and Applications. 188(1). 297–340. 80 indexed citations
8.
Fulton, Charles T., et al.. (1994). PARALLEL COMPUTATION OF STURM-LIOUVILLE SPECTRAL DENSITY FUNCTIONS∗ †. Parallel algorithms and applications. 4(1-2). 41–51. 1 indexed citations
9.
Pruess, Steven. (1988). Stability bounds for local Lagrangian interpolation. Journal of Approximation Theory. 53(2). 117–127. 2 indexed citations
10.
Osborne, M. R., Steven Pruess, & Robert S. Womersley. (1986). Concise representation of generalised gradients. The Journal of the Australian Mathematical Society Series B Applied Mathematics. 28(1). 57–74. 4 indexed citations
11.
Ascher, Uri M., Steven Pruess, & Robert D. Russell. (1983). On Spline Basis Selection for Solving Differential Equations. SIAM Journal on Numerical Analysis. 20(1). 121–142. 50 indexed citations
12.
Allen, Richard C. & Steven Pruess. (1981). An Analysis of an Inverse Problem in Ordinary Differential Equations. SIAM Journal on Scientific and Statistical Computing. 2(2). 176–185. 7 indexed citations
13.
Fulton, Charles T. & Steven Pruess. (1979). Numerical methods for a singular eigenvalue problem with eigenparameter in the boundary conditions. Journal of Mathematical Analysis and Applications. 71(2). 431–462. 44 indexed citations
14.
Pruess, Steven. (1979). Alternatives to the Exponential Spline in Tension. Mathematics of Computation. 33(148). 1273–1273. 3 indexed citations
15.
Pruess, Steven. (1978). An algorithm for computing smoothing splines in tension. Computing. 19(4). 365–373. 12 indexed citations
16.
Pruess, Steven. (1976). Properties of splines in tension. Journal of Approximation Theory. 17(1). 86–96. 85 indexed citations
17.
Pruess, Steven. (1975). The Approximation of Linear Functionals and $h^2 $-Extrapolation. SIAM Review. 17(4). 641–651. 1 indexed citations
18.
Pruess, Steven. (1973). Solving Linear Boundary Value Problems by Approximating the Coefficients. Mathematics of Computation. 27(123). 551–551. 9 indexed citations
19.
Pruess, Steven. (1973). Estimating the Eigenvalues of Sturm–Liouville Problems by Approximating the Differential Equation. SIAM Journal on Numerical Analysis. 10(1). 55–68. 70 indexed citations
20.
Pruess, Steven. (1973). Solving linear boundary value problems by approximating the coefficients. Mathematics of Computation. 27(123). 551–561. 38 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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