Markus Hegland
- Computational Mechanics top 5%
- Computational Theory and Mathematics top 2%
- Mathematical Physics top 5%
- Molecular Biology
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Robert AnderssenJochen GarckeStephen RobertsOle M. Nielsen⋆Conrad J. BurdenVivien J. ChallisShev MacNamaraFrank de Hoog
- Topics
- Matrix Theory and Algorithms (16 papers)Advanced Numerical Analysis Techniques (14 papers)Numerical methods in inverse problems (10 papers)
- Partner nations
- AustraliaGermanySwitzerland
In The Last Decade
Markus Hegland
96 papers receiving 869 citations
Peers
Comparison fields: 5 of 119
- Computational Mechanics 221
- Computational Theory and Mathematics 199
- Mathematical Physics 164
- Molecular Biology 125
- Computer Vision and Pattern Recognition 112
Countries citing papers authored by Markus Hegland
This map shows the geographic impact of Markus Hegland'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 Markus Hegland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Hegland more than expected).
Fields of papers citing papers by Markus Hegland
This network shows the impact of papers produced by Markus Hegland. 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 Markus Hegland. The network helps show where Markus Hegland may publish in the future.
Co-authorship network of co-authors of Markus Hegland
This figure shows the co-authorship network connecting the top 25 collaborators of Markus Hegland. A scholar is included among the top collaborators of Markus Hegland 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 Markus Hegland. Markus Hegland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 80 | |
| 11 | 47 | |
| 12 | Multidimensional smoothing using hyperbolic interpolatory wavelets. | 5 |
| 13 | Data Mining - Challenges, Models, Methods and Algorithms | 4 |
| 14 | Parallel Computing Techniques for High-Performance Probabilistic Record Linkage | 3 |
| 15 | 3 | |
| 16 | Parallel Data Mining on a Beowulf Cluster | 1 |
| 17 | 1 | |
| 18 | Finite element thin plate splines for data mining applications | 17 |
| 19 | A scalable parallel 2D wavelet transform algorithm | 6 |
| 20 | 1 |
About Markus Hegland
Markus Hegland is a scholar working on Computational Mathematics, Numerical Analysis and Computer Graphics and Computer-Aided Design, having authored 103 papers that have together received 991 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (16 papers), Advanced Numerical Analysis Techniques (14 papers) and Numerical methods in inverse problems (10 papers). The work is most often cited by research in Computational Mathematics (30 citations), Mathematical Physics (164 citations) and Numerical Analysis (81 citations). Markus Hegland has collaborated with scholars based in Australia, Germany and Switzerland. Frequent co-authors include Robert Anderssen, Jochen Garcke, Stephen Roberts, Ole M. Nielsen⋆, Conrad J. Burden, Vivien J. Challis, Shev MacNamara, Frank de Hoog, Peter Strazdins and Andreas Hellander. Their work appears in journals such as Mathematics of Computation, Computer Physics Communications and American Journal of Science.
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.