Markus Jalsenius
Impact in
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- Advanced Graph Theory Research
- Complexity and Algorithms in Graphs
- Statistics and Probability top 10%
- Markov Chains and Monte Carlo Methods
Papers in
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- Algorithms and Data Compression 6
- Machine Learning and Algorithms 4
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- Complexity and Algorithms in Graphs 4
- Advanced Graph Theory Research 3
- semigroups and automata theory 2
- Co-authors
- Benjamin Sach (6 shared papers)Raphaël Clifford (5 shared papers)Leslie Ann Goldberg (5 shared papers)David Richerby (4 shared papers)Martin Dyer (4 shared papers)Andreĭ A. Bulatov (1 shared paper)Andreǐ A. Bulatov (1 shared paper)Mark Jerrum (1 shared paper)
- Journals
- Theoretical Computer Science (2 papers)SIAM Journal on Computing (1 paper)Theory of Computing Systems (1 paper)Journal of Computer and System Sciences (1 paper)Information and Computation (1 paper)
- Partner nations
- United KingdomIsraelCanada
In The Last Decade
Markus Jalsenius
11 papers receiving 154 citations
Peers
Comparison fields: 5 of 61
- Computational Theory and Mathematics 77
- Statistics and Probability 38
- Discrete Mathematics and Combinatorics 12
- Computational Mathematics 2
- Computer Graphics and Computer-Aided Design 10
Countries citing papers authored by Markus Jalsenius
This map shows the geographic impact of Markus Jalsenius'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 Jalsenius with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Jalsenius more than expected).
Fields of papers citing papers by Markus Jalsenius
This network shows the impact of papers produced by Markus Jalsenius. 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 Jalsenius. The network helps show where Markus Jalsenius may publish in the future.
Co-authors
The 15 scholars most cited alongside Markus Jalsenius, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | ACM-SIAM Symposium on Discrete Algorithms | 2015 | 84 |
| 2 | 2011 | 22 | |
| 3 | 2009 | 20 | |
| 4 | 2011 | 8 | |
| 5 | 2010 | 6 | |
| 6 | 2013 | 6 | |
| 7 | 2012 | 5 | |
| 8 | 2006 | 5 | |
| 9 | 2015 | 3 | |
| 10 | 2012 | 3 | |
| 11 | 2013 | 3 | |
| 12 | 2008 | 0 |
About Markus Jalsenius
Markus Jalsenius is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Molecular Biology, Statistics and Probability and Mathematical Physics, having authored 12 papers that have together received 165 indexed citations. Recurring topics across this work include Algorithms and Data Compression (6 papers), Complexity and Algorithms in Graphs (4 papers), Machine Learning and Algorithms (4 papers), Markov Chains and Monte Carlo Methods (3 papers), DNA and Biological Computing (3 papers), Advanced Graph Theory Research (3 papers), semigroups and automata theory (2 papers) and Stochastic processes and statistical mechanics (2 papers). The work is most often cited by research in Computational Theory and Mathematics (77 citations), Statistics and Probability (38 citations), Discrete Mathematics and Combinatorics (12 citations), Computational Mathematics (2 citations) and Computer Graphics and Computer-Aided Design (10 citations). Markus Jalsenius has collaborated with scholars based in United Kingdom, Israel and Canada. Frequent co-authors include Benjamin Sach, Raphaël Clifford, Leslie Ann Goldberg, David Richerby, Martin Dyer, Andreĭ A. Bulatov, Andreǐ A. Bulatov, Mark Jerrum, Ashley Montanaro and Ely Porat. Their work appears in journals such as Theoretical Computer Science, SIAM Journal on Computing, Theory of Computing Systems, Journal of Computer and System Sciences and Information and Computation.
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.