Michael Pilant

27 papers receiving 420 citations

Peers

Michael Pilant
Comparison fields: 5 of 76
  • Mathematical Physics 187
  • Modeling and Simulation 41
  • Computational Theory and Mathematics 118
  • Applied Mathematics 73
  • Numerical Analysis 30
Replace Piotr Rybka with:
Piotr Rybka Poland
Massimiliano Morini Italy
Zui‐Cha Deng China
Elías Wegert Germany
Mi-Ho Giga Japan
Carlos Zuppa Argentina
E. C. Zachmanoglou United States
V. B. Glasko Russia
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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 17 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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197872
2 199562
3 198650
4 199247
5 198826
6 199123
7 198718
8 199416
9 198813
10 198712
11 199712
12 199112
13 198911
14 198611
15 201210
16 19858
17 20158
18 19947
19 19957
20
The Impact of Web-Based Instruction on Performance in an Applied Statistics Course
19996

About Michael Pilant

Michael Pilant is a scholar working on Mathematical Physics, Computational Theory and Mathematics, Applied Mathematics, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 29 papers that have together received 448 indexed citations. Recurring topics across this work include Numerical methods in inverse problems (11 papers), Advanced Mathematical Modeling in Engineering (9 papers), Differential Equations and Boundary Problems (6 papers), Image and Signal Denoising Methods (5 papers), Stability and Controllability of Differential Equations (4 papers), Experimental Learning in Engineering (3 papers), Differential Equations and Numerical Methods (3 papers) and Advanced Numerical Analysis Techniques (3 papers). The work is most often cited by research in Mathematical Physics (187 citations), Modeling and Simulation (41 citations), Computational Theory and Mathematics (118 citations), Applied Mathematics (73 citations) and Numerical Analysis (30 citations). Michael Pilant has collaborated with scholars based in United States, Qatar and Australia. Frequent co-authors include William Rundell, Andrew J. Kurdila, Jonghan Ko, John S. Huang, W. I. Goldburg, Jeonghwan Ko, Richard E. Ewing, A. T. Watson, Robert J. Hall and Robert M. Capraro. Their work appears in journals such as Numerical Methods for Partial Differential Equations, Journal of Mathematical Analysis and Applications, Communications in Partial Differential Equations, SIAM Journal on Mathematical Analysis and Computational Mechanics.

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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