Mark A. Lukas
Impact in
- Mathematical Physics top 5%
- Numerical methods in inverse problems
- Applied Mathematics top 5%
- Statistical and numerical algorithms
Papers in
-
- Statistical and numerical algorithms 9
- Differential Equations and Boundary Problems 3
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- Numerical methods in inverse problems 12
- Co-authors
- Frank Bauer (1 shared paper)F. R. de Hoog (4 shared papers)Robert Anderssen (4 shared papers)James Alan Cochran (1 shared paper)Kok Lay Teo (1 shared paper)Jens Knudsen (1 shared paper)Max H. Cake (1 shared paper)
- Journals
- Inverse Problems (4 papers)Computational Statistics & Data Analysis (3 papers)Mathematics of Computation (3 papers)Numerische Mathematik (1 paper)Scandinavian Journal of Statistics (1 paper)
- Partner nations
- AustraliaUnited StatesAustria
In The Last Decade
Mark A. Lukas
25 papers receiving 502 citations
Peers
Comparison fields: 5 of 85
- Mathematical Physics 192
- Applied Mathematics 134
- Statistics and Probability 52
- Computational Mechanics 126
- Numerical Analysis 28
Countries citing papers authored by Mark A. Lukas
This map shows the geographic impact of Mark A. Lukas'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 Mark A. Lukas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark A. Lukas more than expected).
Fields of papers citing papers by Mark A. Lukas
This network shows the impact of papers produced by Mark A. Lukas. 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 Mark A. Lukas. The network helps show where Mark A. Lukas may publish in the future.
Co-authors
The 7 scholars most cited alongside Mark A. Lukas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 206 | |
| 2 | 2006 | 81 | |
| 3 | 1998 | 32 | |
| 4 | 1993 | 32 | |
| 5 | 2008 | 27 | |
| 6 | 1988 | 20 | |
| 7 | 2010 | 19 | |
| 8 | 2002 | 16 | |
| 9 | 1981 | 12 | |
| 10 | 1999 | 9 | |
| 11 | 1988 | 9 | |
| 12 | 2015 | 8 | |
| 13 | 2010 | 8 | |
| 14 | 1995 | 8 | |
| 15 | 1998 | 7 | |
| 16 | 1988 | 6 | |
| 17 | 1995 | 6 | |
| 18 | 2004 | 6 | |
| 19 | 2011 | 5 | |
| 20 | Methods for choosing the regularization parameter | 1992 | 4 |
About Mark A. Lukas
Mark A. Lukas is a scholar working on Applied Mathematics, Mathematical Physics, Computational Mechanics, Control and Systems Engineering and Computational Theory and Mathematics, having authored 25 papers that have together received 533 indexed citations. Recurring topics across this work include Numerical methods in inverse problems (12 papers), Statistical and numerical algorithms (9 papers), Sparse and Compressive Sensing Techniques (5 papers), Advanced Statistical Methods and Models (4 papers), Control Systems and Identification (4 papers), Matrix Theory and Algorithms (4 papers), Differential Equations and Boundary Problems (3 papers) and Statistical Methods and Inference (3 papers). The work is most often cited by research in Mathematical Physics (192 citations), Applied Mathematics (134 citations), Statistics and Probability (52 citations), Computational Mechanics (126 citations) and Numerical Analysis (28 citations). Mark A. Lukas has collaborated with scholars based in Australia, United States and Austria. Frequent co-authors include Frank Bauer, F. R. de Hoog, Robert Anderssen, James Alan Cochran, Kok Lay Teo, Jens Knudsen and Max H. Cake. Their work appears in journals such as Inverse Problems, Computational Statistics & Data Analysis, Mathematics of Computation, Numerische Mathematik and Scandinavian Journal of Statistics.
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.