Mateusz Michałek
- Computational Theory and Mathematics top 5%
- Geometry and Topology top 5%
- Algebra and Number Theory top 10%
- Discrete Mathematics and Combinatorics top 5%
- Computational Mathematics top 2%
- Co-authors
- J. M. LandsbergBernd SturmfelsPiotr ZwiernikRosa M. Miró‐RoigCaroline UhlerThomas KahleLek‐Heng LimJoseph Gubeladze
- Topics
- Commutative Algebra and Its Applications (19 papers)Advanced Combinatorial Mathematics (17 papers)Algebraic Geometry and Number Theory (14 papers)
- Partner nations
- PolandGermanyUnited States
In The Last Decade
Mateusz Michałek
46 papers receiving 289 citations
Peers
Comparison fields: 5 of 40
- Computational Theory and Mathematics 131
- Geometry and Topology 128
- Algebra and Number Theory 87
- Discrete Mathematics and Combinatorics 82
- Computational Mathematics 66
Countries citing papers authored by Mateusz Michałek
This map shows the geographic impact of Mateusz Michałek'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 Mateusz Michałek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mateusz Michałek more than expected).
Fields of papers citing papers by Mateusz Michałek
This network shows the impact of papers produced by Mateusz Michałek. 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 Mateusz Michałek. The network helps show where Mateusz Michałek may publish in the future.
Co-authorship network of co-authors of Mateusz Michałek
This figure shows the co-authorship network connecting the top 25 collaborators of Mateusz Michałek. A scholar is included among the top collaborators of Mateusz Michałek 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 Mateusz Michałek. Mateusz Michałek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 14 | |
| 8 | 7 | |
| 9 | 0 | |
| 10 | 8 | |
| 11 | Complex tensors almost always have best low-rank approximations | 1 |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 9 | |
| 15 | 5 | |
| 16 | 9 | |
| 17 | 16 | |
| 18 | SMOOTH MONOMIAL TOGLIATTI SYSTEMS OF CUBICS | 11 |
| 19 | 9 | |
| 20 | 2 |
About Mateusz Michałek
Mateusz Michałek is a scholar working on Computational Mathematics, Discrete Mathematics and Combinatorics and Algebra and Number Theory, having authored 51 papers that have together received 311 indexed citations. Recurring topics across this work include Commutative Algebra and Its Applications (19 papers), Advanced Combinatorial Mathematics (17 papers) and Algebraic Geometry and Number Theory (14 papers). The work is most often cited by research in Computational Mathematics (66 citations), Discrete Mathematics and Combinatorics (82 citations) and Algebra and Number Theory (87 citations). Mateusz Michałek has collaborated with scholars based in Poland, Germany and United States. Frequent co-authors include J. M. Landsberg, Bernd Sturmfels, Piotr Zwiernik, Rosa M. Miró‐Roig, Caroline Uhler, Thomas Kahle, Lek‐Heng Lim, Joseph Gubeladze, Hendrik Süß and Jesús Fernández-Sánchez. Their work appears in journals such as IEEE Transactions on Information Theory, Science Advances and American Mathematical Monthly.
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.