Michael Pilant

25 papers receiving 370 citations

Peers

Michael Pilant
Comparison fields: 5 of 73
  • Mathematical Physics 169
  • Modeling and Simulation 38
  • Computational Theory and Mathematics 105
  • Applied Mathematics 67
  • Numerical Analysis 27
Replace Massimiliano Morini with:
Massimiliano Morini Italy
Piotr Rybka Poland
Elías Wegert Germany
Carlos Zuppa Argentina
Sisto Baldo Italy
Omar Lakkis United Kingdom
V. B. Glasko Russia
Yuhe Ren United Kingdom
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Citations per field
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Citations per year

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-authors

The 16 scholars most cited alongside Michael Pilant, 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 Michael Pilant Line = papers co-authored together Michael Pilant links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197863
2 199559
3 199246
4 198646
5 198826
6 199121
7 198716
8 199413
9 198712
10 199111
11 199711
12 198810
13 198910
14 19858
15 20157
16 20127
17
The Impact of Web-Based Instruction on Performance in an Applied Statistics Course
19996
18 19946
19 19913
20
Issues Involved in a Large Scale Implementation of Web-Based Mathematics Instruction
20002

About Michael Pilant

Michael Pilant is a scholar working on Mathematical Physics, Applied Mathematics, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 27 papers that have together received 394 indexed citations. Recurring topics across this work include Numerical methods in inverse problems (10 papers), Advanced Mathematical Modeling in Engineering (8 papers), Differential Equations and Boundary Problems (6 papers), Image and Signal Denoising Methods (5 papers), Experimental Learning in Engineering (3 papers), Differential Equations and Numerical Methods (3 papers), Stability and Controllability of Differential Equations (3 papers) and Advanced Numerical Analysis Techniques (3 papers). The work is most often cited by research in Mathematical Physics (169 citations), Modeling and Simulation (38 citations), Computational Theory and Mathematics (105 citations), Applied Mathematics (67 citations) and Numerical Analysis (27 citations). Michael Pilant has collaborated with scholars based in United States, Australia and Qatar. Frequent co-authors include William Rundell, Andrew J. Kurdila, Jonghan Ko, W. I. Goldburg, John S. Huang, Jeonghwan Ko, Richard E. Ewing, Robert J. Hall, A. T. Watson and Graham Allen. Their work appears in journals such as Numerical Methods for Partial Differential Equations, Computational Mechanics, SIAM Journal on Mathematical Analysis, Journal of Mathematical Analysis and Applications and Communications in Partial Differential Equations.

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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