Michael Pilant

563 total citations
27 papers, 394 citations indexed

About

Michael Pilant is a scholar working on Mathematical Physics, Applied Mathematics and Computational Theory and Mathematics. According to data from OpenAlex, Michael Pilant has authored 27 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Mathematical Physics, 9 papers in Applied Mathematics and 8 papers in Computational Theory and Mathematics. Recurrent topics in Michael Pilant's work include Numerical methods in inverse problems (10 papers), Advanced Mathematical Modeling in Engineering (8 papers) and Differential Equations and Boundary Problems (6 papers). Michael Pilant is often cited by papers focused on Numerical methods in inverse problems (10 papers), Advanced Mathematical Modeling in Engineering (8 papers) and Differential Equations and Boundary Problems (6 papers). Michael Pilant collaborates with scholars based in United States, Australia and Qatar. Michael Pilant's co-authors include William Rundell, Andrew J. Kurdila, Jonghan Ko, John S. Huang, W. I. Goldburg, Jeonghwan Ko, Robert J. Hall, Richard E. Ewing, A. T. Watson and Graham Allen and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Michael Pilant

25 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Pilant United States 11 169 105 78 67 58 27 394
Massimiliano Morini Italy 14 95 0.6× 261 2.5× 101 1.3× 237 3.5× 41 0.7× 45 607
Elías Wegert Germany 10 61 0.4× 62 0.6× 46 0.6× 213 3.2× 28 0.5× 53 473
Sisto Baldo Italy 9 99 0.6× 252 2.4× 110 1.4× 186 2.8× 17 0.3× 19 509
Piotr Rybka Poland 13 84 0.5× 256 2.4× 48 0.6× 220 3.3× 12 0.2× 63 494
W. Okrasiński Poland 15 98 0.6× 59 0.6× 17 0.2× 321 4.8× 16 0.3× 56 554
Yuhe Ren United Kingdom 6 33 0.2× 88 0.8× 62 0.8× 75 1.1× 11 0.2× 8 594
Carlos Zuppa Argentina 10 42 0.2× 74 0.7× 175 2.2× 19 0.3× 6 0.1× 22 334
V. B. Glasko Russia 7 178 1.1× 69 0.7× 61 0.8× 95 1.4× 11 0.2× 35 330
E. Bendito Spain 13 72 0.4× 176 1.7× 37 0.5× 36 0.5× 7 0.1× 28 352
Omar Lakkis United Kingdom 12 64 0.4× 230 2.2× 149 1.9× 34 0.5× 5 0.1× 21 497

Countries citing papers authored by Michael Pilant

Since Specialization
Citations

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

Fields of papers citing papers by Michael Pilant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Pilant

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Pilant. A scholar is included among the top collaborators of Michael Pilant 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 Michael Pilant. Michael Pilant 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.
Nite, Sandra, Robert M. Capraro, Mary Margaret Capraro, et al.. (2015). A bridge to engineering: A personalized precalculus (bridge) program. 2. 1–6. 7 indexed citations
2.
Morgan, James, Sandra Nite, Mary Margaret Capraro, et al.. (2015). Improving engineering calculus success through a summer program. 298–301. 1 indexed citations
3.
Pilant, Michael, Robert J. Hall, & Eunju Jung. (2012). Comprehensive Statistical Analysis of a Mathematics Placement Test. Society for Information Technology & Teacher Education International Conference. 2012(1). 4432–4439. 2 indexed citations
4.
Allen, Graham & Michael Pilant. (2001). The Distance Education Degree Program for The Master of Mathematics with a Teaching Option At Texas A&M University. Society for Information Technology & Teacher Education International Conference. 2001(1). 111–116. 1 indexed citations
5.
Pilant, Michael, et al.. (2000). Issues Involved in a Large Scale Implementation of Web-Based Mathematics Instruction. 2000(1). 334–339. 2 indexed citations
6.
Pilant, Michael, et al.. (1999). The Impact of Web-Based Instruction on Performance in an Applied Statistics Course. 1999(1). 261–266. 6 indexed citations
7.
Ko, Jeonghwan, Andrew J. Kurdila, & Michael Pilant. (1997). Triangular wavelet based finite elements via multivalued scaling equations. Computer Methods in Applied Mechanics and Engineering. 146(1-2). 1–17. 11 indexed citations
8.
Ko, Jonghan, Andrew J. Kurdila, & Michael Pilant. (1995). A class of finite element methods based on orthonormal, compactly supported wavelets. Computational Mechanics. 16(4). 235–244. 2 indexed citations
9.
Ko, Jonghan, Andrew J. Kurdila, & Michael Pilant. (1995). A class of finite element methods based on orthonormal, compactly supported wavelets. Computational Mechanics. 16(4). 235–244. 59 indexed citations
10.
Ewing, Richard E., et al.. (1994). Estimating parameters in scientific computation - A survey of experience from oil and groundwater modeling. 1(3). 19–19. 13 indexed citations
11.
Pilant, Michael, et al.. (1992). The Recovery of Potentials from Finite Spectral Data. SIAM Journal on Mathematical Analysis. 23(2). 482–504. 46 indexed citations
12.
Pilant, Michael & William Rundell. (1991). Determining a Coefficient in a First-Order Hyperbolic Equation. SIAM Journal on Applied Mathematics. 51(2). 494–506. 21 indexed citations
13.
Pilant, Michael & William Rundell. (1991). A method for identifying nonlinear terms in parabolic initial-boundary value problems. Advances in Water Resources. 14(2). 83–88. 3 indexed citations
14.
Pilant, Michael & William Rundell. (1991). Determining the initial age distribution for an age structured population. Mathematical Population Studies. 3(1). 3–20. 11 indexed citations
15.
Pilant, Michael & William Rundell. (1989). An iteration method for the determination of an unknown boundary condition in a parabolic initial-boundary value problem. Proceedings of the Edinburgh Mathematical Society. 32(1). 59–71. 10 indexed citations
16.
Pilant, Michael & William Rundell. (1989). Multiple undetermined coefficient problems for quasi‐linear parabolic equations. Numerical Methods for Partial Differential Equations. 5(4). 297–311. 2 indexed citations
17.
Pilant, Michael & William Rundell. (1988). A uniqueness theorem for determining conductivity from overspecified boundary data. Journal of Mathematical Analysis and Applications. 136(1). 20–28. 10 indexed citations
18.
Pilant, Michael & William Rundell. (1987). Iteration schemes for unknown coefficient problems arising in parabolic equations. Numerical Methods for Partial Differential Equations. 3(4). 313–325. 12 indexed citations
19.
Pilant, Michael. (1985). The Neumann problem for an equation of Lavrent'ev-Bitsadze type. Journal of Mathematical Analysis and Applications. 106(2). 321–359. 8 indexed citations
20.
Goldburg, W. I., et al.. (1978). Spinodal decomposition in a binary liquid mixture. The Journal of Chemical Physics. 68(2). 484–494. 63 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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